﻿<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/"><channel><title>Millisecond Forums » Millisecond Forums » Inquisit 6  » different trials, made with stimuli from same list</title><generator>InstantForum 2017-1 Final</generator><description>Millisecond Forums</description><link>https://forums.millisecond.com/</link><webMaster>Millisecond Forums</webMaster><lastBuildDate>Sat, 12 Sep 2026 15:02:51 GMT</lastBuildDate><ttl>20</ttl><item><title>different trials, made with stimuli from same list</title><link>https://forums.millisecond.com/Topic35727.aspx</link><description>Hi everybody&lt;br/&gt;For my task I need different trials for different trials for different blocks. To be specific, I need different trials for practice block 1, practice block 2, practice block 3 (not in the script-piece below) and experimental block since I need different feedbacks etc.&lt;br/&gt;I had trouble running my script, and I thought it was the case since the different trials were made out with stimuli (words, pictures and sounds) from the same list.&lt;br/&gt;Now I made separate lists that hold the same stimuli (e.g. list.irrelevants1 and list.irrelevants2) for different types of blocktrials. &lt;br/&gt;When I run it, I get the message "could not locate the element trial.P2irrelevants in block 2_3" and "trial 3 is unassigned in block 2_3".&lt;br/&gt;&lt;br/&gt;I'm a bit lost. Can somebody see what goes wrong here? Thank you in advance, it would help me very much.&lt;br/&gt;Amelie&lt;br/&gt;&lt;br/&gt;&lt;br/&gt;Here is a piece of the script:&lt;br/&gt;______________________________________________________&lt;br/&gt;LISTS OF irrelevants stimuli  / target stimuli/ probes stimuli&lt;br/&gt;&lt;br/&gt;&amp;lt;list irrelevants&amp;gt;&lt;br/&gt;/items = (text.wordirrelevants, picture.pictirrelevants)&lt;br/&gt;/selectionmode=random&lt;br/&gt;/maxrunsize= 1&lt;br/&gt;/replace = false&lt;br/&gt;&amp;lt;/list&amp;gt;&lt;br/&gt;&amp;lt;list irrelevants2&amp;gt;&lt;br/&gt;/items = (text.wordirrelevants, picture.pictirrelevants)&lt;br/&gt;/selectionmode=random&lt;br/&gt;/maxrunsize= 1&lt;br/&gt;/replace = false&lt;br/&gt;&amp;lt;/list&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;list targets&amp;gt;&lt;br/&gt;/items = (text.wordtargets, picture.picttargets)&lt;br/&gt;/selectionmode=random&lt;br/&gt;/maxrunsize= 1&lt;br/&gt;/replace = false&lt;br/&gt;&amp;lt;/list&amp;gt;&lt;br/&gt;&amp;lt;list targets2&amp;gt;&lt;br/&gt;/items = (text.wordtargets, picture.picttargets)&lt;br/&gt;/selectionmode=random&lt;br/&gt;/maxrunsize= 1&lt;br/&gt;/replace = false&lt;br/&gt;&amp;lt;/list&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;list probes&amp;gt;&lt;br/&gt;/items = (text.wordprobes, picture.pictprobes)&lt;br/&gt;/selectionmode=random&lt;br/&gt;/maxrunsize= 1&lt;br/&gt;/replace = false&lt;br/&gt;&amp;lt;/list&amp;gt;&lt;br/&gt;&amp;lt;list probes2&amp;gt;&lt;br/&gt;/items = (text.wordprobes, picture.pictprobes)&lt;br/&gt;/selectionmode=random&lt;br/&gt;/maxrunsize= 1&lt;br/&gt;/replace = false&lt;br/&gt;&amp;lt;/list&amp;gt;&lt;br/&gt;&amp;lt;list irrelevants_sounds&amp;gt;&lt;br/&gt;/items = (sound.soundirrelevants)&lt;br/&gt;/selectionmode=random&lt;br/&gt;/maxrunsize = 1&lt;br/&gt;/poolsize = 6&lt;br/&gt;/replace = false&lt;br/&gt;&amp;lt;/list&amp;gt;&lt;br/&gt;&amp;lt;list irrelevants_sounds2&amp;gt;&lt;br/&gt;/items = (sound.soundirrelevants)&lt;br/&gt;/selectionmode=random&lt;br/&gt;/maxrunsize = 1&lt;br/&gt;/poolsize = 6&lt;br/&gt;/replace = false&lt;br/&gt;&amp;lt;/list&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;list targets_sounds&amp;gt;&lt;br/&gt;/items = (sound.soundtargets)&lt;br/&gt;/selectionmode=random&lt;br/&gt;/maxrunsize = 1&lt;br/&gt;/poolsize = 2&lt;br/&gt;/replace = false&lt;br/&gt;&amp;lt;/list&amp;gt;&lt;br/&gt;&amp;lt;list targets_sounds2&amp;gt;&lt;br/&gt;/items = (sound.soundtargets)&lt;br/&gt;/selectionmode=random&lt;br/&gt;/maxrunsize = 1&lt;br/&gt;/poolsize = 2&lt;br/&gt;/replace = false&lt;br/&gt;&amp;lt;/list&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;list probes_sounds&amp;gt;&lt;br/&gt;/items = (sound.soundprobes)&lt;br/&gt;/selectionmode=random&lt;br/&gt;/maxrunsize = 1&lt;br/&gt;/poolsize= 2&lt;br/&gt;/replace = false&lt;br/&gt;&amp;lt;/list&amp;gt;&lt;br/&gt;&amp;lt;list probes_sounds2&amp;gt;&lt;br/&gt;/items = (sound.soundprobes)&lt;br/&gt;/selectionmode=random&lt;br/&gt;/maxrunsize = 1&lt;br/&gt;/poolsize= 2&lt;br/&gt;/replace = false&lt;br/&gt;&amp;lt;/list&amp;gt;&lt;br/&gt;&lt;br/&gt;.......&lt;br/&gt;&lt;br/&gt;&amp;lt;block practice1&amp;gt; &lt;br/&gt;/trials = [1-30=noreplacenorepeat(trial.Pirrelevants, trial.Pirrelevants,trial.Pirrelevants,trial.Pirrelevants,trial.Pirrelevants,trial.Pirrelevants,&lt;br/&gt;trial.Pirrelevants, trial.Pirrelevants,trial.Pirrelevants,trial.Pirrelevants,trial.Pirrelevants,trial.Pirrelevants,&lt;br/&gt;trial.Pirrelevants_sounds, trial.Pirrelevants_sounds, trial.Pirrelevants_sounds, trial.Pirrelevants_sounds, trial.Pirrelevants_sounds, trial.Pirrelevants_sounds,&lt;br/&gt;trial.Pprobes,trial.Pprobes, trial.Pprobes,trial.Pprobes,trial.Pprobes_sounds,trial.Pprobes_sounds,trial.Ptargets,trial.Ptargets,trial.Ptargets,trial.Ptargets,&lt;br/&gt;trial.Ptargets_sounds,trial.Ptargets_sounds)]&lt;br/&gt;/ recorddata = true &lt;br/&gt;&amp;lt;/block&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;block practice2_1&amp;gt;&lt;br/&gt;/trials = [1= practice2; 2= fingers; 3-32=noreplacenorepeat(trial.P2irrelevants, trial.P2irrelevants,trial.P2irrelevants,trial.P2irrelevants,trial.P2irrelevants,trial.P2irrelevants,&lt;br/&gt;trial.P2irrelevants, trial.P2irrelevants,trial.P2irrelevants,trial.P2irrelevants,trial.P2irrelevants,trial.P2irrelevants,&lt;br/&gt;trial.P2irrelevants_sounds, trial.P2irrelevants_sounds, trial.P2irrelevants_sounds, trial.P2irrelevants_sounds, trial.P2irrelevants_sounds, trial.P2irrelevants_sounds,&lt;br/&gt;trial.P2probes,trial.P2probes, trial.P2probes,trial.P2probes,trial.P2probes_sounds,trial.P2probes_sounds,trial.P2targets,trial.P2targets,trial.P2targets,trial.P2targets,&lt;br/&gt;trial.P2targets_sounds,trial.P2targets_sounds)]&lt;br/&gt;/ branch = [if ((trial.P2irrelevants.percentcorrect + trial.P2irrelevants_sounds.percentcorrect +&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;trial.P2probes.percentcorrect + trial.P2probes_sounds.percentcorrect + trial.Ptargets.percentcorrect &lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;+ trial.P2targets_sounds.percentcorrect)/6 &amp;lt; 50&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;|| ((trial.P2irrelevants.meanlatency + trial.P2irrelevants_sounds.meanlatency)/2 &amp;gt; 800)) block.practice2_2;]&lt;br/&gt;&amp;lt;/block&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;block practice2_2&amp;gt;&lt;br/&gt;/trials = [1= practice2_2; 2= fingers; 3-32=noreplacenorepeat(trial.P2irrelevants, trial.P2irrelevants,trial.P2irrelevants,trial.P2irrelevants,trial.P2irrelevants,trial.P2irrelevants,&lt;br/&gt;trial.P2irrelevants, trial.P2irrelevants,trial.P2irrelevants,trial.P2irrelevants,trial.P2irrelevants,trial.P2irrelevants,&lt;br/&gt;trial.P2irrelevants_sounds, trial.P2irrelevants_sounds, trial.P2irrelevants_sounds, trial.P2irrelevants_sounds, trial.P2irrelevants_sounds, trial.P2irrelevants_sounds,&lt;br/&gt;trial.P2probes,trial.P2probes, trial.P2probes,trial.P2probes,trial.P2probes_sounds,trial.P2probes_sounds,trial.P2targets,trial.P2targets,trial.P2targets,trial.P2targets,&lt;br/&gt;trial.P2targets_sounds,trial.P2targets_sounds)]&lt;br/&gt;/ branch = [if ((trial.P2irrelevants.percentcorrect + trial.P2irrelevants_sounds.percentcorrect +&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;trial.P2probes.percentcorrect + trial.P2probes_sounds.percentcorrect + trial.Ptargets.percentcorrect &lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;+ trial.P2targets_sounds.percentcorrect)/6 &amp;lt; 50&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;|| ((trial.P2irrelevants.meanlatency + trial.P2irrelevants_sounds.meanlatency)/2 &amp;gt; 800)) block.practice2_3;]&lt;br/&gt;&amp;lt;/block&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;block practice2_3&amp;gt;&lt;br/&gt;/trials = [1= practice2_3; 2= fingers; 3-32=noreplacenorepeat(trial.P2irrelevants, trial.P2irrelevants,trial.P2irrelevants,trial.P2irrelevants,trial.P2irrelevants,trial.P2irrelevants,&lt;br/&gt;trial.P2irrelevants, trial.P2irrelevants,trial.P2irrelevants,trial.P2irrelevants,trial.P2irrelevants,trial.P2irrelevants,&lt;br/&gt;trial.P2irr&lt;br/&gt;elevants_sounds, trial.P2irrelevants_sounds, trial.P2irrelevants_sounds, trial.P2irrelevants_sounds, trial.P2irrelevants_sounds, trial.P2irrelevants_sounds,&lt;br/&gt;trial.P2probes,trial.P2probes, trial.P2probes,trial.P2probes,trial.P2probes_sounds,trial.P2probes_sounds,trial.P2targets,trial.P2targets,trial.P2targets,trial.P2targets,&lt;br/&gt;trial.P2targets_sounds,trial.P2targets_sounds)]&lt;br/&gt;/ branch = [if ((trial.P2irrelevants.percentcorrect + trial.P2irrelevants_sounds.percentcorrect +&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;trial.P2probes.percentcorrect + trial.P2probes_sounds.percentcorrect + trial.Ptargets.percentcorrect &lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;+ trial.P2targets_sounds.percentcorrect)/6 &amp;lt; 50&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;|| ((trial.P2irrelevants.meanlatency + trial.P2irrelevants_sounds.meanlatency)/2 &amp;gt; 800)) block.practicewrong;]&lt;br/&gt;&amp;lt;/block&amp;gt;&lt;br/&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;</description><pubDate>Wed, 01 Nov 2023 15:45:49 GMT</pubDate><dc:creator>Amelinq</dc:creator></item><item><title>RE: different trials, made with stimuli from same list</title><link>https://forums.millisecond.com/Topic35737.aspx</link><description>&lt;blockquote data-id="35736" class="if-quote-wrapper" unselectable="on" data-guid="1698853501417" contenteditable="false" id="if_insertedNode_1698853500676"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35736" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35736" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35736" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Dave - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35736"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="35735" class="if-quote-wrapper" unselectable="on" data-guid="1698853501417" contenteditable="false" id="if_insertedNode_1698851478604"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35735" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35735" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35735" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Amelinq - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35735"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="35734" class="if-quote-wrapper" unselectable="on" data-guid="1698853501417" contenteditable="false" id="if_insertedNode_1698851057864"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35734" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35734" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35734" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Amelinq - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35734"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="35733" class="if-quote-wrapper" unselectable="on" data-guid="1698853501417" contenteditable="false" id="if_insertedNode_1698846591715"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35733" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35733" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35733" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Dave - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35733"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="35732" class="if-quote-wrapper" unselectable="on" data-guid="1698853501417" contenteditable="false" id="if_insertedNode_1698845486148"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35732" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35732" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35732" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Amelinq - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35732"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="35731" class="if-quote-wrapper" unselectable="on" data-guid="1698853501417" contenteditable="false" id="if_insertedNode_1698845075514"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35731" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35731" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35731" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Dave - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35731"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="35730" class="if-quote-wrapper" unselectable="on" data-guid="1698853501417" contenteditable="false" id="if_insertedNode_1698844854222"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35730" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35730" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35730" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Amelinq - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35730"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="35729" class="if-quote-wrapper" unselectable="on" data-guid="1698853501417" contenteditable="false" id="if_insertedNode_1698844359131"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35729" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35729" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35729" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Amelinq - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35729"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="35728" class="if-quote-wrapper" unselectable="on" data-guid="1698853501417" contenteditable="false" id="if_insertedNode_1698844183126"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35728" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35728" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35728" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Dave - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35728"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;What the error message tells you is that no &amp;lt;trial P2irrelevants&amp;gt; element exists in the script, thus the blocks -- where you reference such a trial element -- cannot run. In other words, the thing you told them to run is not there.&lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35728"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Hi Dave,&lt;br/&gt;yes understand that, but trial.P2irrelevants is defined in the script (where TRIALS PRACTICE 2 is written above). I will put the part where I define the trials here:&lt;br/&gt;&lt;br/&gt;TRIALS PRACTICE 1&lt;br/&gt;_________________________________________________________________________________________________________________________________________&lt;br/&gt;&amp;lt;trial Pirrelevants&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Pirrelevants.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Pirrelevants.insertstimulustime(list.irrelevants.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if(trial.Pirrelevants.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;//timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial Ptargets&amp;gt;&lt;br/&gt;/ ontrialbegin = [ &lt;br/&gt;&amp;nbsp; trial.Ptargets.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Ptargets.insertstimulustime(list.targets.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if (trial.Ptargets.responsetext == "l")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no] &lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("s") // yes = s-key&lt;br/&gt;//timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial Pprobes&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Pprobes.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Pprobes.insertstimulustime(list.probes.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if (trial.Pprobes.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no; 800 = tooslow]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") &lt;br/&gt;//timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;TRIAL SOUNDS PRACTICE 1 &lt;br/&gt;&amp;lt;trial Pirrelevants_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Pirrelevants_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Pirrelevants_sounds.insertstimulustime(list.irrelevants_sounds.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.Pirrelevants_sounds.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;//timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial Ptargets_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Ptargets_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Ptargets_sounds.insertstimulustime(list.targets_sounds.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.Ptargets_sounds.responsetext == "l")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("s") // no = l-key&lt;br/&gt;//timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial Pprobes_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Pprobes_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Pprobes_sounds.insertstimulustime(list.probes_sounds.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.Pprobes_sounds.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;//timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;TRIALS PRACTICE 2 PHASE (time out, wrong FB)&lt;br/&gt;________________________________________________________________________________________________&lt;br/&gt;&amp;lt;trial P2irrelevants&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2irrelevants.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2irrelevants.insertstimulustime(list.irrelevants2.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if(trial.P2irrelevants.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;/timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial P2targets&amp;gt;&lt;br/&gt;/ ontrialbegin = [ &lt;br/&gt;&amp;nbsp; trial.P2targets.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2targets.insertstimulustime(list.targets2.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if (trial.P2targets.responsetext == "l")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no] &lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("s") // yes = s-key&lt;br/&gt;/timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial P2probes&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2probes.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2probes.insertstimulustime(list.probes2.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if (trial.P2probes.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no; 800 = tooslow]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") &lt;br/&gt;/timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;TRIAL SOUNDS PRACTICE 2 (time-out, wrong FB)&lt;br/&gt;&amp;lt;trial P2irrelevants_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2irrelevants_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2irrelevants_sounds.insertstimulustime(list.irrelevants_sounds2.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.P2irrelevants_sounds.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;/timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial P2targets_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2targets_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2targets_sounds.insertstimulustime(list.targets_sounds2.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.P2targets_sounds.responsetext == "l")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("s") // no = l-key&lt;br/&gt;/timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial P2probes_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2probes_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2probes_sounds.insertstimulustime(list.probes_sounds2.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.P2probes_sounds.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;/timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35729"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Plus, it also seems that Inquisit does find&amp;nbsp;the &amp;lt;trial P2irrelevants&amp;gt; at block practice2_2 but not anymore in block practice2_3, or do I see that wrong? Otherwise I would also have had the comment 'could not locate the element P2irrelevants at block practice 2_2", right? &lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35730"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Just &lt;strong&gt;attach &lt;/strong&gt;the full script, please. It's not possible to answer your questions based on piecemeal excerpts that don't give the full picture. (To attach files, use +Insert -&amp;gt; Add File...&lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35731"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Thank you for looking into it, here's the script:&lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35732"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;&lt;img 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" alt=""&gt;&lt;br/&gt;&lt;br/&gt;You've a mistake in that block, the trial name is broken up (see above), so the script looks for a nonexistent &amp;lt;trial P2irr&amp;gt;, which is what the error message actually says:&lt;br/&gt;&lt;br/&gt;&lt;img src="data:image/png;base64,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" alt=""&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35733"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Oh dear... :-) Such a stupid fault. &lt;br/&gt;Thank you very much, Dave! Really appreciate you taking the time.&lt;a class="if-quote-goto quote-link" href="#" data-id="35734"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Sorry Dave, now that I sent you the whole script maybe you could answer one more question for me (and hopefully than you will be rid of me).&lt;br/&gt;All practice blocks run perfectly, but when I run a test block (&amp;lt;block test1&amp;gt;, &amp;lt;block test2&amp;gt;, ...) there are some "empty" trials. These are trials without a picture/word/sound, the only thing that shows up in this empty trial is the 'yes' and 'no'. The time out also works for these empty trials. It seems thus that only the stimulus doesn't show up.&lt;br/&gt;All the trials in the blocks are exactly the same as the practice trialsin the practice blocks who work as normal (with no empty trials).&lt;br/&gt;Do you have an idea?&lt;br/&gt;&lt;br/&gt;&lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35735"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;I don't have the stimuli (images, sound files, etc.), so I couldn't possibly tell you anything about "empty" tirals. My advice to you is:&lt;br/&gt;- Figure out &lt;strong&gt;which &lt;/strong&gt;&amp;lt;trial&amp;gt; elements this happens with by looking at the data file. I.e. is it always &amp;lt;trial irrelevants&amp;gt;? Or is it &amp;lt;trial probes&amp;gt;? etc.&lt;br/&gt;- Then double- and triple-check the respective &amp;lt;trial&amp;gt; elements, specifically the stimulus insertion logic. Take the below mistake as an example:&lt;br/&gt;&lt;br/&gt;&lt;img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAr0AAAEFCAYAAADuVV9dAAAgAElEQVR4Xu29C5hU1Z3u/a8maCZHJ3wjjkOiApHGMdiiEuXuFYFMEAmokYADklbpcfDCJcFoNHgSwUbEqAckpI0KRJSYjII0goY2mkZbdEaBPArdtBDmTKLIl0MyM+cj0PWttfZeu9Ze+36p6qrdbz2Pj3St+2+tXfXWu/97rdyvXl6fP6P/mRT1dXzbCpo4agk139VI+2rPcBR3Sz+0fBKdV38cTW9aSwt656M2GTr/6X2q6cD+djr19L6R/y8beXPGMRp6TjfK3+5stmHIMVq+oBttH2Okibzdqyi/Iif+5um1Awt/6zXMynVQrr2KHukTMKT1xyg3KUcrj1RRrZJVb594viU52tlURQNYvoP1x+jkNu/2g/qn98ptfH7j5+N77KacxUOU31voX1D/w7Tvx1eUN9nN2u3D2Y2v8t4EznGj0e83+ZxeZ6yHqPxCL9yQGVtmzKPBe8eyfl3O5vtjemrwgzT93OsZ75qQNSAbCIAACIAACHQ9Arkooveduf1p4vMFSDVP7KENlxbEq196jl6lBX3rqMGFsV5P0mmoqvpMIsHL2/cTpkL0vGsIXPG6oSDw5FuOPMPILkrvVsrzQkq6o6xZqRRwQaIxSPTy6vz6J0TqaqV/St9cy7qMXwjf7mbHXcqrolkX7UHtB/VfzoFej8rPNn8q3x2FHxpeojds+0nXsXd5U+i+XWVkuXEKBG/xYKNmEAABEACBjBCIJHorZcxJnd4wojE2i9YOGlJNdKHm9AqRuJS5sy7Ocuy2ilTQIbqL1A6qBQEQAAEQAAEQAIG0CGRS9CZ1erkA3bapygpfSAu2qMfttrsphI8Wq81UB2C4xDanNuX6UR0IgAAIgAAIgAAIpE0gk6I3qdObNmS9Psfte5Zh0PoiiewiDAaitwhQUSUIgAAIgAAIgEBRCWRS9CZ1eotKHJWDAAiAAAiAAAiAAAiUnEAmRW+5O70ln2U0CAIgAAIgAAIgAAJdnEAmRS+c3i6+qjF8EAABEAABEAABENAIZFL0wunFOgcBEAABEAABEAABEFAJZFL0wunFIgcBEAABEAABEAABEMi86IXTi0UOAiAAAiAAAiAAAiAQW/QaxwjvsBNUjiGOnH7dMtq3cFTqM1Jqp1ccZsFOWPM98jbyKA/QLWuaadnBz9N3p42hH/YIX8G2xmdp2G55olr08uFbQk4QAAEQAAEQAAEQqAwCkcIbhKjdX+cpVIPSbWrbPJa4RTvKOA1spXZ6xWlqFxeOGeZj+P3bjTRy95/p1BHX0NbecUYF0RuHGsqAAAiAAAiAAAiAgBuBThO9RHvpmQljaf64RtpXe0aqs5Oq08tOS6ubTtR9dRU90selm+YJa/rhEtJtvWTCtTFFb3IkRh96uDrFdSM6vMeUvGnUAAIgAAIgAAIgAAJlRaDTRO/xbSto4qit1L/pWVrQO58qlNScXvN44Le6e5+Yxk8nq303RyuPVFGt6fD2av6Ty3hkmMFhaljdSLWfnk7rp/WmxpfeYCEMLPtZwyk/+ouiXFB4gj2dFTi5B/1g+Gi6S3OUPUVviHGlOiGoDARAAARAAARAAAQ6mUB00avG9F4whzaum0kD8oZodcT0auk8zztz+9PE581RK/HAaXJIw+mVcbo0jGjdT6vo6r4uPZTicWkV5W830nlYQzjR24P69TxMrQcLgl+6wpFFr2j5NHrutqF0jdJNP6eXZ+Nu7+Mt7B/1hf6nOQ+oCwRAAARAAARAAATKhUAk0at2OmfG5Da4CFueLyjdCm84K/2H2ZI6vW/OOEZDV+foczfkqGVFjgZ4zJbMJ11eNZt3eIN0evmDZoZQHSmF8sivUv78E61qgkSrkdE79jdM+bBjLZcFi36AAAiAAAiAAAiAQBwCsUUvb+yEzfPopJnd6P72epqS73C0nzQ9zoB4maROrxSC3OXd2VTlLnqly3tTjvJMGOuvMKI3KN7XS7QeaN9FC5t3GWER1su5SwNEb9wVhHIgAAIgAAIgAAJZI5BI9IpwhsXVnqI3KF2I4p/0s4VIpAE4qdPL+xAU3hC0TVmw6HV/wEwdv6toPbSLBq/aRS0n19CH3zyL+h/6Hd3SuM11a7Mg0SvjkRHekMaqQx0gAAIgAAIgAALlTCC26DUeRFtCzR5xuUHpVvhDEeJ6kzq91oT5PPDltk2ZOtHO2F79QTYv0XuAZj/8G1qa091js3yHKXodq0rW71WeyHKW8SBbOV+T6BsIgAAIgAAIgEARCEQSvbaH0FhnarQ9dv3TzS3K3iuMQi+f1vjScHpV4evYssxjmzJ7/2WsrXw3JdHLDqlobtxEw3cfFhX36Xk2zevJ3N4PyNyaLIToZeWwZVlaqw31gAAIgAAIgAAIVAKBSKK3EgbE+5ia0+sxYH2bskrhgn6CAAiAAAiAAAiAQFclkEnRm6rTq68Ml23KuuriwbhBAARAAARAAARAoFIIZFL0FtvprZTJRT9BAARAAARAAARAAAQMApkUvUV1erFyQAAEQAAEQAAEQAAEKo5AJkUvnN6KW4foMAiAAAiAAAiAAAgUlUAmRS+c3qKuGVQOAiAAAiAAAiAAAhVHIJOiF05vxa1DdBgEQAAEQAAEQAAEikogk6IXTm9R1wwqBwEQAAEQAAEQAIGKI5BJ0Qunt+LWIToMAiAAAiAAAiAAAkUlEEn0Hlo+ic6r32HvkHKMcFB6oaA8nW0QTW9aSwt651MdJJzeVHGiMhAAARAAARAAARCoeALRRe/+Otq3cJTrwIXo9UmXhUS+rZ+lYW8fo/5Nz6YueuH0Vvy6xABAAARAAARAAARAIFUCJRe9OXqVFvRdQfmmOspdspyONa1LXfTC6U11jaAyEAABEAABEAABEKh4AiUXve/M7U8Tuy+j/QtzQvwWQ/TC6a34dYkBgAAIgAAIgAAIgECqBKKLXjWm94I5tHHdTBqQN2JyHTG9WvrxbSvo66Pa6cqP6mlqfkvRRC+c3lTXCCoDARAAARAAARAAgYonEEn0qqM1whTqqEETtjKPM72NnpkwluaPa6R9tWeQDHOA01vxawgDAAEQAAEQAAEQAIGyJxBb9PKRnbB5Hp00sxvd315PU/IdjsGq6Te/PIdO+kk/yxkupuiF01v26w4dBAEQAAEQAAEQAIGSEkgkekU4w+JqT9Grpv/9nH408XmPsXm4xXFJIKY3LjmUAwEQAAEQAAEQAIFsEogtenl87sRRS6hZ2adXRRSUDqc3mwsKowIBEAABEAABEACBciQQSfSKnRcUt7bmiT204dLCwRJB6SqAYopeOL3luNTQJxAAARAAARAAARDoPAKRRG/ndTNay4jpjcYLuUEABEAABEAABEAg6wQyKXrh9GZ92WJ8IAACIAACIAACIBCNQCZFL5zeaIsAuUEABEAABEAABEAg6wQyKXrh9GZ92WJ8IAACIAACIAACIBCNQCZFL5zeaIsAuUEABEAABEAABEAg6wQyKXrh9GZ92WJ8IAACIAACIAACIBCNQCZFL5zeaIsAuUEABEAABEAABEAg6wQyKXrh9GZ92WJ8IAACIAACIAACIBCNQCZFL5zeaIsAuUEABEAABEAABEAg6wQiid5DyyfRefU77EyUY4iTpqcFuzKc3gN0y5pmWnbw8/TdaWPohz3Cj35b47M0bHfOLBC9fPiW4uR8kSh3FVGfe4navx+nApQBARAAARAAARAAgdQJRBe9++to38JRrh0RojdBelqjK4XT+/u3G2nk7j/TqSOuoa294/QcojcONZQBARAAARAAARAAgTgEMil6U3V6WzuobjpR99VV9EifAmLptl4y4dqYojfOdNnLGH3oEdkpTt6yXw2lcXrrRnQ45qS440LtIAACIAACIAAClUwgk6I3NaeXCd4h1URvdScatL6Kto8h4g5vr+Y/ucy5DDM4TA2rG6n209Np/bTe1PjSGyyEgWU/azjlR39RlAsKT7CnswIn96AfDB9Nd2mOcjzRa4rSyd8nyq8mWtvKGjiV6MWXia78Mvv3bqLeZxLtn0i0ZyrR5ez/+9nbk58l+tm1xrhbf0n0vW+bZdnfvScRvfIcUb8q9ocieoescamfV8DamPw1j/Jm/aNmE+37qMB5IQurmX+22b5zXir5IkTfQQAEQAAEQAAEik8guuhVY3ovmEMb182kAfm86KkjpjdielrD1Z3eoHoP7G+nU0/va8t2sP4YnXw3i5sdRrTup1V0tZkcXvT2oH49D1PrQYMNf0lXOLLoFaVPo+duG0rXKL1MJHodUJjw3bOPCVcmgoXoZX+ffsAQvPL14lEmjF8yYnY9y28ISGfCeDLjulavgInr/PPsTSm6tXRV9JpJ3O19vIX9UV9F+duDZhnpIAACIAACIAACXZlAJNGrgsrRq7Sgbx01aMJW5kmanmRSVKeX15PLyYe+nLXmTcGuCt83Zxyjoatz9LkbctSyIkcDXDrjHd4gnV7epiFUR0p3eORXKX/+iVZt4USrd+xvmPK5Hz1H+dtMh1a0bDqxqrsrRagQlseZopfnNYXoIkbgzt8S8fQBi4jGMweXO8U/Yw+rCdeWiWQuYkX5vaboVdxjtf6rmSiuvlN50E0pL0R1W6H9hcw9vpq5yMJBdn+FmaskawllQQAEQAAEQAAEskEgtujlwz9h8zw6aWY3ur+9nqbkOxxEkqbHRZzU6ZVCiru8O5uqYoveoHhfL9F6oH0XLWzeZYRFWC/nLg1hRK+ToUvM7XoWxsCFrC56hQjtZq9CCmA1zVbeFL3q7g1quhTNbpMr62xlwvpyJowtl5kL6I+cfWF1QPTGvUpQDgRAAARAAAS6FoFEoleEMyyu9hS9SdPjTkUaMb1e4Q2yT8FOb/ADZq6i9dAuGrxqF7WcXEMffvMs6n/od3RL4zbXrc3SEb1KOIHNaZXhDprLKgVskNNriV6t/rMWa06v3yyzsovuYS4ziyeWrrOSvWHIMap9lznqCG+Ie6mgHAiAAAiAAAh0GQKxRe/xbSto4qgl1Kzs06tSS5qeZAZS273B5UE22S9nbK/+IJuX6D1Asx/+DS11hFyY5TtM0esAIOv3Kl+IGfZnJ8Mb9Fx6TK2H6LXCI7zKh60/YnnVOfaZlyTrBmVBAARAAARAAASySyCS6H1nbn+ayJ81Ml81T+yhDZcWHtRKmp4W5jScXqsvHluWEclYW5kzJdHLDqlobtxEw3cfFhX36Xk2zevJ3N4PyNyarAiilwvKLcxRFbGz0pn1Er0six5+YNu9gZXvw7a5UHde4K7wfd9TYnO13RvESKXodhHNtvoN3tiyLK2rBfWAAAiAAAiAQNcgEEn0VgqS1JzeShlwpH6WZh/dSF1CZhAAARAAARAAARAoMoFMit5Und4iT0Dpq4foLT1ztAgCIAACIAACINDZBDIpeuH0+i0riN7OvujQPgiAAAiAAAiAQOkJZFL0wukt/UJCiyAAAiAAAiAAAiBQzgQyKXrh9JbzkkPfQAAEQAAEQAAEQKD0BDIpeuH0ln4hoUUQAAEQAAEQAAEQKGcCmRS9cHrLecmhbyAAAiAAAiAAAiBQegKZFL1weku/kNAiCIAACIAACIAACJQzgUyKXji95bzkstE365hqczgrj1RRbTaGhlGAAAiAAAiAQCYJRBK9h5ZPovPqd9hBKMcQB6UbBffSMxPG0vz3zGo8jjFOQjt1p3f9McpNylGlCZuGIceo9t3o/Q4SdLze5Qu60XZ28FoxX3H7X8w+yboFo7Yqyq/IlaI5tAECIAACIAACIJCQQHTRu7+O9i0c5dqsEL0+6Tl6lRb0raOGIghdtUNpO71vzjhGQ8/pRvnbE9KOUFyIqo052tlURQMilFOzJhaNHmIfopcIojfmokQxEAABEAABEOgkAiUVve/M7U8Tuy/zFM1pMUjV6W3toCHVRBe2V9EjfdLqYXA9aYje4FYCcnSy6E3c/yJWANFbRLioGgRAAARAAASKQKCEotcIa1hz2x7acGm+CEMpVJmm0xtX3EiXVfZKDY2QTunQsR30WHcjx6zdhqjWQwtUULY8/Nb6uA4RdiFe9exv04kOCk/g2YV7vbpwa941dCNA9Nbda4RP8Neg9VW2cAdb/cPI4VjrfNQxBPXfj19RF5ZSedx1Uar+oR0QAAEQAAEQAAE7geiiV43pvWAObVw3kwbkDRHriOlV0o3QhhV0YsNoavlWPTUbUommN62lBb3TFcFpOr2zch20bZNd0AUtIiHoBhbiPaWIk8JSCj4pYoVA3GsPZfBzei1RKMWklxvtIVp5+bEDCzG5bu2LMfqIXi52pdDVxyfq614Yv16/ni54XOcSPhLQvh8/vznicyp/bKj5dOHuVwdEb9BVgHQQAAEQAAEQKC8CkUSv2nUrPlcTvjKPnn5+6+M0cdQSalbyC5G8uJrub6+nKfmO1Mik5vRy0bXEP642d1wH5dmT+9bLFKC1efvT/Kp4dsTEurQTRvSq7qyrOA/7AJ7XOCOEN/D2c2YIiPpvwUUT5XpfPQVk2PZ95skxPxFXWa5qPuU7FjlKQfRGBInsIAACIAACINDJBGKLXt7vEzbPo5NmdvMUrWr61PwW4fQea1pnObtSGLc8kW7IQ1pOb6wHtkIItVREb5idA7xErylC3zJDK8QadAlB8HN69d0bLCF7hhEDbavbXOQ2Z1ZxguM4vbb2Q/w4Ua8zOL2d/KmD5kEABEAABECgEwgkEr1BTq2abojeOlIFrgx5UIVwGgxScXo9HNvA/nkIzdSd3gSiV4i+pYUYYCFu3RztEALe4eQeDX7wT48nphty7lt/hW0/ougNnMMQGeD0hoCELCAAAiAAAiBQRgRii97j21YY4Qoe24+5pQsRvHW0FQcsdnPYb48LToNNGk5vkm3KhKi8qSDk9JjWME6vdFmlO6pyCS24fAS4KnpFfy92PmwW1ul1jdFVYpr1OXWEP3hNOkRvGpcD6gABEAABEAABEGAEIoleIVKfL3Cr0cISgtJ5SVsej3jgpDOThtMbWph5dNZ2C10LHQglelm9uiPq2L3B42AE150RWH1eO0QsWZSjOS/mrR0Wgso70l2cWkcehYHrDhVKepj2k4Q3JF1fvHzoHx5pNIY6QAAEQAAEQAAEEhOIJHoTt1aiCpI6vRA0RZwoj50mHCEXRexCGlVjjaRBEXWAAAiAAAiAQOkIZFL0JnV642xTVropq/CWzJAFW9iGKYSPRtwarjNJQPR2Jn20DQIgAAIgAALRCWRS9CZ1eqNjRIkoBBwPsrHCUfbIjdJWsfIGHaBRrHZRLwiAAAiAAAiAQDwCmRS9SZ3eeChRCgRAAARAAARAAARAoFwJZFL0wukt1+WGfoEACIAACIAACIBA5xDIpOiF09s5iwmtggAIgAAIgAAIgEC5Esik6IXTW67LDf0CARAAARAAARAAgc4hkEnRC6e3cxYTWgUBEAABEAABEACBciWQSdELp7dclxv6BQIgEI3AizQ7t5COtm+jR/rIkvy9n9OX809TbbTKkBsEQAAEujSBSKJXHCNcv8MOTDmG2C/dOpbYBbd+slvSGYHTywkeoFvWNNOyg5+n704bQz/sEZ7qtsZnadjunFkgevnwLcXJ+SI7R/Aqoj73ErV/P04FKBOKwE66dfgqevTNv6NZbXcogitUYd9MLTPm0eAnuxl5cqekXr/V+PrNNGzxr2jbG+Y7N06h/Iqa5AMoWQ276anBZ9L0yR9Q/vYzba1+Wv8V6jn/bFrZ8SSEb8nmAw2BAAhUOoHoond/He1bOMp13EL0+qTrhQwhvJX6Nz1LC3rnU2OZBaf392830sjdf6ZTR1xDW3vHQQPRG4dapZT5tP5BunLDQTpy1yLaPiZ6r4PLV7jobX2FLqveQltz8scbY1RholcI25eupp2vzacBjik2BfG5v2RCfkL0BYASIAACINAFCXSq6H1nbn+a2H2Zp4iOOx9ZcHql23rJhGtjit649ArljD70iOwUJ2/ZrwY4vZyOdEsHNcYTvUnLpzHHog9PfaE4Tu/6VeyGwC7qXTuFPvpxJbm7JtnWRXR59QYa0P6Gt8seJk8aE4U6QAAEQCAjBDpN9Mpwhz89sYc2XJqey8vnpZKdXu7w9mr+k8vykmEGh6lhdSPVfno6rZ/WmxpfeoOFMLDsZw2n/OgvinJB4Qn2dFbg5B70g+Gj6S7NUY4nek1ROvn7RPnVRGtbWQOnEr34MtGVX2b/3k3Um92q3T+RaM9UosvZ//eztyc/S/Sza41xt/6S6HvfNsuyv3tPInrlOaJ+VewPRfQOWeNSP6+AtTH5ax7lzfpHzSba91GB80IWtsNuFwe/Pma3nB+k6dsH0vOt51LT1Kfp0W05TVx9TD+uXU03P/GxUd3IGlr35BS6uq9Ze+v7NGvaK/TYNjOdv/3QbHYL+2/NDN7luUPbcz6fcO2lhgn41B+mvF/4gUhrO5dmHX1fjJseGkOz1m0SYRCDNt7BXOeddEduFT188Wja2XQ5cyglr14OcesuekOUTzS+4PmzjV/M3ym04M476J6x5o8N3/HzAknnn8jf5ZVz7x3+QLSTXh/0JL153Bj6x21X0CnBCxs5QAAEQCDzBKKLXjWm94I5tHHdTBqQN0SrI6ZXS1dpirxbR9vKp0W7kp1eN9E7/A/7KU8n0CXfnslic6Xo7UH9eh6m1oOFHwzSFY4segX40+i524bSNcokJBK9jslkwnfPPiZcmQgWopf9ffoBQ/DK14tHmTB+yYjZ9Sy/ISCdCePJTIyt1Stg4jr/PHtTim4tPbLo7UVDh/+hEC/KqpOuq0M08aZyNbTy2BQWf2mKrre5gFdeiuj1K//1QNHrX38qolfG4+qIRfhArsiiN+n4CiI8zvydo8Yju46/xnLhbckR5p+Xa5mRo8HnOGN59SaFOG672xniwJzupeP58xen0Ll759Cl8gdXWh+yqAcEQAAEKpBAJNGrji9Hr9KCvnXU4CFs/dJlWksRXF7exzSd3hyLCcybot5tfouVzgXnDW99Qi/uaKb+v3jGaPou5n7+4C7T6eWxioZQHSnd4ZFfpfz5J1rdDCdavWN/w5XXqZhOrOruShEqhOVxpujl5UwhuohFLN75WyKePmAR0Xjm4HKn+GfsYTXh2jKRzEWsKL/XFL2Ke6zWfzUTxdV3Kg+6KeWFqG4rtL+QucdXMxdZOMhhX4roMoWMJUS5cB33vhFLqjidLTMWiwe3DFGslH9oKrWPH0B9vqTEncpYVM/yRj+9wxMC6jeHGSa8wc2JleUubJxDjz5bL8ITbmsbQ7m+T9HDN00treh14yen0QxvsDvoPDFg/iy3XVZkj22eep/xEJ7n+Of9Idn8i2b9HFz7OvV2hOH0hr2ikQ8EQKDrEIgtejmiEzbPo5NmdqP72+tpSr7DQc0rvZguL+9EJTu9EuKHD/2APvfwU3Ta73h4gPL68E1qaPmIhTfkKCje10u0HmjfRQubdxlhEdbLuUtDItGr7q6wnoUxcCGri14hQs2n+GU/pABW02zlTdHrVb8UzW7XsKyTxULS5UwYWy4zF9AfOfvi+jlQEE2u8bRSbLmUtfIzYXvrtC1GeAB/sdAEIzSA/TtMeZbNV7T61W/2K5Hofepc4VoL13PvWBbGMJC2D66n6edeXwLRywYQYnwWR1vYCB98wPyxHP/x0iu08H5lfsw54rtYCNHrN/5x/yZiid1eoeZfFExD9Lp2AW+CAAiAQJcmkEj0CvG6uNpT9LqlWw6wstVZ2jOQptPr2refm87r1ZPT7rpR33NMIH6DCUW312v/Qg37/y8TvcEPmLmK1kO7aPCqXdRycg19+M2zqP+h39EtjdtctzZLR/Qq4QQ2p1WGO2guqxS4QU6vJXq1+s9arDm9flPEyi66h7nMLJ5Yus6BM+odoyqKOpxavwo/ZrGbL7MYXSaS5O3vkOXDiFYu8Bz1m90JU97T6Y0gek96aQ31upI59C5bk4WJ6fUr7ze+QNG73Rlj7Dp/LH741mlrrK3bAkWvw+mNOP9xRK9beEPgOkYGEAABEOh6BGKLXmvfXQ/x6pUe5A6nMQVFc3r/+7+IvjaOaOtWo5t/fRLRjx/2FqhxBlP/Q6Lv3O1a8vA5g+iv3/uVGd7gJXoP0OyHf0NL1a2aRG2mk9thil5HC9Lp9SpPdmeZuaWjWBjBq7lp2l6hMrxBb0CPqfUQvfJBNUf/ZPmw9Xu171Fe3/fXc3wBotcrZteK6TQf1NLn56Ir7A9+6TG/VnljXI7YXEtUBtUfs7xZf6DokzG9+viC+se6ZTihHv0PKm/xM+c9KLwhSPR69D94/KcYDzp6zl/Y+fHbrkyu7eAH2ba/2wsxvXE+h1EGBEAgkwQiiV6xxRh/Fsh86YdKBKWXwuXlXSua0/s8Cyx1c3eX/Yio7tZkC4QL6jtYHSsaXOs58Hf9qOkXz9PUoX2SiV52SEVz4yYavvuwaKdPz7NpXk/m9n5A5tZkRRC9XFBuYY6qiJ2VzqyX6GVZ9PAD2+4NrHwfFgeg7rzAXeH7vqfE5mq7N4iR+ohmW/0m/tiil5fXnt7nb/mI3gtH1NC8p5TdHXzLy+VhxpoqIRLGIRJOUeWsn9cRvrxoMbToZduDMcF52fidYo/cvrVX0NP936OR38mZuzd4iD7WhHX7P2J51/HFFb2sHy0zlrC43U/EsL8y4gq6kfX/5p8a/Q8WvXx7tKTzb1wD/EflHzflvfdh9tuyjN0xWFf9MjuiJkf/VTuV7lp5TrLPJ5QGARAAgQwQiCR6K2W8RXN6vUQvB7OVbcl1yeh4iH77PtE/315wkPVaJowneoQJ69P6xKu/pKWwj25JcaOxzBIQOzi0LfQ/nMLltDYJpOOBxfSj+Z/Q55bMoZtnY9OyzC4UDAwEQCA0gUyK3qI5vdyNHc8E6CuvugBmLuYH7xGdGWavV6V44wtE/4jb/RAAACAASURBVOBzotI8Jobrl4ae0M7PCNHb+XOAHmSDgPepa8H7+H5MB6c9QKue/gLCG7KxGDAKEACBFAhkUvQWzenlwD/5PdEDC4mWPOLEP/IitgsAO1ihx9+Em5plLB74lju886YRNhGuJynmguhNESaq6vIEXqTZuYV0tH2bcjIbf+/n9OX802zfZ+dLOry9Lqih89ZeT2d+qctDBAAQAAEQEAQyKXqL5vSqi2b6FKKnfuZcRlO+QbTacTKCMx93cB9kIQteL+4Aj2WuMl4gAAIgAAIgAAIgAAKJCWRS9BbV6ZXID/+RaBw7Oez1X7sLWq+QhP3tRLPYA2svskMU3F6XXUbEHd6oYRKJlwIqAAEQAAEQAAEQAIHsEsik6C2J08vXxG62v+rfn8+Otz3iXCEPPcB2Y2AnqKmvVzcS1f4z0UdM+Lq9ZrKblQ8xwftXn8vuisPIQAAEQAAEQAAEQKATCGRS9JbE6ZWT9doW710b1q4q7OH7P9mWWvf8wHuK+f68877bCUsATYIACIAACIAACIBA9glkUvSWzOmV6+PZ1UTXXe++Wh57iOgXLJThV7/yXk38BLZrvpn91YYRggAIgAAIgAAIgEAnEcik6C2p0ysnjoczzJkfbRrPGUj0xONsV/4h0cohNwiAQBch4LZ7QxcZOoYJAp1CwH93lDBdmpXroMe6mzlvyFGenVTJX7kFX6L8vXvDVIE8RSIQSfQeWj6JzqvfYe+KcgxxULp1IptVwyCa3rSWFvTOpzq8kju9svffZtuPLWbbkIV5zWDO8KJ6opP/LkzuGHkO0C1rmmnZQXm8cPgqtjU+S8N2GxepdXwxO8kt3MvlmF+3E8/CVRYjV7lsmWaeePbm35knkcUYSkUXKd74W2bMYyemdTPoWMcTlxpW8cZXGIn7McPhrs/413+pSUZrr9jXtzwxUunV5GeJfnZttG5WcO7yuL78AHJRehVZu9ff9EsmKu173YuDXX5q1nGR84CXoHSxD/b8s2llx5Ou2wKGnd43Zxyjod2rLNErPrIgfMPiK0q+6KJ3fx3tWzjKtTNC9Hqm76VnJoyl+eMaaV/tGaK8yL91NG1cN5MG5NMTvp3i9EoiQ4YSvfWm/2Q1LCeaMdM3z+/fbqSRu/9Mp464hrb2jjP38b/0wn2pevXJRfSKrPIY4DhjiVKm2F+KYftSClEUti/OfJ/WP0hXbjhIR+5a5H3MrU/1weWLN/5SfCl35vgkdq8DKMJdn/Gvf95+8s+f+GvTv2Sxr28X0cs7VGbCN3h9xudfiusrfu+MH4KP3ieP5zYF8NIPKH/7maJa+0mGzgNegtKNvnkfDBOl726il5eH8I1CMd28JRO90uVteWIPbbjUELgnbJ5HJ83sRve319OUfEdqI+sUp/d3HxHdyx5W+ymL7/V69asmeuHnRF8+J3Cs8ovtkgnXxhS9gU0EZjD60IO+O20M/TCq09vnXqL274sPD+rNPoz2s3++eJToStOhC2w9boZifynG7Vd5lZNfbIMa44nepOXToCH68NQXiuKkd/r4WhfR5dUbaED7G8qhFHZq8a7PcOTL4fPHvaclvr7XT2WncLJnLqzPs3D8ip2rFOuzmNdXmnzsItYlHIjNYW78PprV/jq7loLSlZ6FuAaDxuEleiF8g8gVL71kopcPwQh/OE6ENNzX+xVa0LeOGpTwiLSGWXKndx07pOJadlhFmNdSFtJw+zzPnNxh6dX8J5d0GaZwmBpWN1Ltp6fT+mm9qfGlN1gIA8t+1nDKj/6iKBfkBNnTWYGTe9APho+muzRHOd6XqsuX0qIBRHf+lmghC42Zz+KZ2K0pmswEcZ79QFjbyjpwKhPELzNB/GX2bymSmTO8h33hXM7+zwWz6rS0slPvvse2gxNl2csWPqG0P4R9WTnq5wVYG5O/5lGeJfP6R80m2vdRYR5E38MdMe3vlOykO3Kr6OGbxtCKY/9GNz/xsbhFf+HGqfTWmJON9lrfp1nTXqHHtrE0+XpoNnMy/tb862P6ce1qoyx/jayhdU9Ooav78j8+Zk7IgzR9+0B6vvVcapr6ND26LUe9a6fQRz+uIe4Q9ZzPF4z2UsMEfNoPU95v/CKt7VyadfR90S96aAzNWreJHmVhIIM23sFcZ5PPxaNpZ9PlNMAaTy+HuHX/Ug5RvlPHZ8yR9/wZ8xJ8zLC8zp0/SoOufzr0O/qnxt/S8oP/p7AIRn6V8uefKBxe/88f59Kxv2Nef1m5vqXoDe30hri+/eZ//Sr28ci2wrzoCnP987VgXrPsM+Dgkac9r99b266n879Rz6597VppfYUuq95CW81r6j/V8CDx+XEKLbjzDrpnrH0mY19fIdZ30CqKkm4TvVzgXvUZJSzBdGxb2KMzm5g7fCQgfYzasnt4kZFjJ70+6El687gx9I/brqBTPDrsJ3p5ETi+UWY6nbzRRa8a03vBHFtogiOmV0vnXRbu7s3stDH2qlFc33SGY9RSMqf3EBMPC5ij+ciyaN3nuz14iOTgLx0pentQv56HqfVgISxEusJBX3oO0St6fxo9d9tQukYZSSqilwtIKVyF0/uSIXodLyZ89+wj6seErHCG2d+nHzAEr3yFKs92yvCtv4oJXia2HIfmyfALj9ubaYvenIyZNgeXq6GVx6aw+DFTtL7N+qm+FNFrE5Uyj16effENHf4H2vZGoRLu6r78XpDo9W8/FdEr43H1NXDjFBH7Jn4UFE30dvb4atjtVyUm2TF/xhvii/ycwi1btw8Yr+vT//qXnx/a+ktb9Fb09a19BkRyeU3R63l987n1n3/rGmPXw3+Mf596Xcl+cItrI8SP1h2maFY+L2R98q5OUPty6uKK3rD1R/vS9MqthTdw0fvg2bTztfk0gDm1o6rvpP/c9CHNvMcMieCi1y/dJnrNH59tdztihon9OFk6nj/fdAqdu3cOXSoMB+crSPTyEhC+6ayEsLVEEr1qpdZDaS7CVkwkvWo4uUq66vQu+XCuIX7L3OnNsQ+vvFu88ZMriW64yZ/ztZOInnvePQ/f3/eiUeRVv/ftRfVLyxCqI6U7Y35xyQbDiVbv2L9w5fXhecT0Wl8cMl1xd6UIFcLyuEI4hIwDVp3iAYuM243cSfoZ+8EhXFsmkrmIVZ1k1T1W67+aiWL2QVi4XamUF6K6rdD+wueIrmZz2E8ToCGvLt8vDbauLmycw9zdvOnMSndGEWUPTaX28QOoz5cUgaK5NtwJbZmxWDzYZXypKeVNIfx1xSmSbrH37dGA9s2xh7m96jZ+WY6P/dFn60V4wm1tYyjX9ynmfk8treh141vs8c37g811c84f74Cfw1RYfEHXp3u68vkxcgS19/0C9fl/nAs6fnhDFq7vJA+zFUSv6/V91O66us+/9sNMcX1tgtS65tX5K9zpsf2IZnd+jL/1l3fsfSzRG2p8IT9AuY7w+v4VVZjXydvTCs6uKXrfuHI9jZhXZYY0KHHApuj1THcTvS9dbYhoW7eTO71c7Kov7OoQfl0kyRlb9PJGg2Jy1fSp+S1CBDtiem8+kPoODkV1eg8wN7Lun4g2sNPVvF41LGZ36ULmcP4Du33rsZXZcf+D6J3Xic4+z7WWMKI3KN7X60vxQPsuWti8ywiLsF7OXR6CvlTdh+8iei2Byku4hD/IW4i66HWLAZYCWE2zlTfDJ1R3Rk2Xotmt87JO5hDQ5UwYWy4zF+gfRY5HjvWl0Yd1jAnbW6dtMW7/8xcLPTBu/bN/y9ufLv3XRa9fvK6vaPVr32w3keh96lzxBXwOd7z2jmW3cQfS9sHstuy515dA9AbwLfb4xv2bcfvac/54QjFFL6v+0C66pVG9/j9Pl0wYY3t2ILHo9br+1B+1lXB98ztV1ewuEP8RLe5EBf0ADgivkU6s7/wba1SEJDDR53Yd+11/Nmf3DLOepXOs8Kj/eOkVWni/8vlifsbMarvDFj8e6/Mr7Pi8vjsjvG/swDDCFLZmQRG/y0wR244Nhhv8axne4JceWvSG6yic3nCcSpkrkegVzu3ias8H0dT0Ga3LaeKordS/6Vlri7Lj21Y43ktj8EWL6X2UHTRx6xz/Ls69jT3Qdh/7RfDXhXzzbid6kB0vrL+4ON7wL+w2vvPeSLDoDX7AzFW0si+8wat2UcvJNfThN8+i/iy+75bGba5bmyUSvZ63BHXRqz/oJp1Wjy8ZK8bu+/5Or9eDdGct1pxev+lkfVt0D4tHZlsWxdh9ItaXRh+1Px+zeL6XWQwfE0kyfMHh9Or9l06PMwZWzRlGtPLYU0f7xRaFWnjDSS+tMW7vumxNFoavX/lOGZ/D6XVbf0UWvVaTh1kM7w4Ww/vv7B17eFN6orfSr2/Z/5REr8MJdZt/8xr+bC+69Ne/p61V5zhcWv/rV8YVT6WDZ7DPjzt7Fcrrnx8svv3WaWtETH0c0eu4vkKNL/m3vIh5/85f2QUvr9YMafgjF7hSwIoH0j6gyXm2/VhQutY10Y5beEPIIQSJXoQ2hASZYrbYotcQrEuo2SM8QU+3wh2uW2ZtefbO3P408RcTy3/3hv9gsaV3MefPb2cG7tw+08C00Tfcp2cy2+dx7Tpn2mWXEa1joupvetrSnLG9+oNsXqL3AM1++De0VI8pI7N8hyl6HT2R9XuVZ6ctqztJmB8er+aUW0uizqCnq4O2NAv6kgkqH5TuEbNridqg8AwTnOf4vWL6TjG/VIIetPIob93i9IhJdYnp1b/E1Cl3xOZaojKofaOWyOXN+qfex3dcCOH0OmIiNX6O9c0eVBHhHSH56+W1W8jFG98pRjiLHrNtzZ/ky75sXW+rBl2fAdd/D490+SPYXCTenz9B6z/s9eclIoPKB6Unvb5Tuv49Y9KDrt9CzK9Yz0ecD7b5X3/G/Njias14YJGgOMi2r4Cg659lDnd9BY/PaNeMxXV8fwSrG0/BaxYN2pIsKL3Qg+AH2ba/2yt2TC8Eb/BcFyNHJNErRKoSoqo/iBaU7jicIpe+4OWQUnV6j/x/RF9lYQp+xwh/dy7RHey/nl7PcLJO/b+fEn2dxYe+9ppzHr/OHux6jgniz8gjXHgWGWsrs6cketnWY82Nm2j47sOi4j49z6Z5PZnb+wGZW5MFfamG/NILcnpVCjzvFuaoiluHQaKXf3Br4Qe23RtY+T7sJ7668wIPr7iPbSdn3ZrUdm8QfZEPsrl86bkdrlFC0XvhiBqa95TcnYH3VXv6n78VUfTyp49vHb7KFkJhiGSnaHS2zxsMX17gDS16a0QIx2Xjd4pbu31rr6Cn+79HI7+Ts/9o8BS9rK2I5Us+Pt/5s19fNsdKJAVdn9FFb9+ep9GPvjaUrrRtS+j1+RPy+q/Y61u//pk4n7zEeThF0PXv+yCm9/Vrxd8rQtUSsLYdXLyuPzk/ZlhDlZuDu4Q9A/CJyPiVEVfQjez6uvmnaV1fQZ9PcmFouypoYQXq8rH/WzuYQkkUuzOIegp1i2TH4RVB6YU17rltIPvxsK76ZXY15ui/aqfSXSvdtyHFPr3eM9lZKZFEb2d1Mmq7qcb0vsDEKHM4XV9crM5nYvfCEeG6+NEeJqDHE33AFKb+uoFtz/XEqnD1VHSuICe4ogeHzoNAagTsjlRq1Ra5IlzfRQacmeqDHNvOHWhwiFHHA4vpR/M/oc8tmUM3z3Y3vHAiW+fOolvrmRS9qTq965m1Pf5qJ7sH2YNqc+ZHn9H33yEa+BX3creyB+R+9L+i19mZJfj2a7/7XYQeMJd13pMsP9sUcvFF4cqddhrRN9iPArxAoEsRSOdUqNIig+gtLe9Kbc1c2591HhFcDiMK3if7Yzo47QFa9fQXIoU3IKSh82c3k6I3Vaf3L0fYU/tXEr282Zitv/97omUPE10a+n6Mc5abWYjD8EvcZ/97TEjfxwR1ub/++7+MsA+3cI1i9P0KdvT1ZrbNG14g0KUIuJwgVdbjh+gt6+kph87JHRYcYQfl0DneB37N/Zy+nH/aZYs3Iunw9rqghs5bez2dad95TAxiVq6DHpPRijewbU/ZA7p4lQeBTIreVJ1eOU//wvZs5S+vUIeo89nI9ij+hwnupeK6yFH7kCT/L9jDd5OuS1JD9LKb2BfqGPYDBC8QAAEQAAEQAAEQiEggk6I3Vac3ItBI2Z9j+wl63bZ//FGim/85UnUlzewV9lHMTrzCTnPjex/jBQIgAAIgAAIgAAIRCWRS9BbF6Y0INnT2huVEtSyW1+31zNNE110fuqqSZuRhH1exB/nYThAleU1gDwD+0ji+Gi8QAAEQAAEQAAEQiEogk6K3YpxeOVtep7bxdO6ojuMnApXpa8Mv2Mll1tFlxenk6aeXN4PijBq1ggAIgAAIgAAIpEggk6K3opxeOZn33c1Ocvuh+9S+xh7guog9yIUXCIAACIAACIAACIBALAKZFL0V5/TKqeNHGC95xH0i332L6LwLY01yMQodrD9GJ99deCJ15ZEq1yddi9G2vc5Ke7q9+ETQAgh0bQL+T993bTalGT12LygNZ7QSnUAk0Xto+SQ6r36HvRXlGOKgdKK99MyEsTT/PbMK5Uji6F33LpG607v+GOUm5UgKu4Yhx2j5gm6Fs73T7PxNM4hW/tRZY79qFj/Ldi/ox7ZMC3gVtX9m20L0tlX5bMWyk14f9CT5HtO4fjM9+z+30P9+2xDPfifbuA85eAPxIFbe6fJEKnkSXviatjU+S8N2yx8E0cuHbylOTmwpFYcayqRIoLGWNv9DA31+cwcNPnpj4d9XhNzWKUR5sc/q/LNpZceTRfoxntXPhxTnmVXldSJZuq2gNhAITyC66N1fR/sWut9qF6LXM90UvOMaaV/tGayH+t/hOx2UM22nV1y453Sj/O1Gy0UVlR0d7NhLdgLcc8p5z3LAQ4YSPc+2CvsCO6zB51XU/qUlepVjHOVQoopevw3Ef/92I43c/Wc6dcQ1tLV30IpxS8/qlxpEb5zVkHaZT+sfpCs3HKQjdy0qyo/nYtefiEfbEtreby4ds0RvG/Xau5Vq+oasNVR5/4M98PkQknXCbBC9CQGieOoESiZ6j29bQV8f1U5XflRPU/JM2LHXCZvn0Ukzu9H97YX30hhhqk5vawcNYSbrhe1V9EifEohe3sThPxJdw4Sv22EM/JCGtc8Q/U1PT1TlIXoDZnL9Klo6fged9K0p9I8/GRh92lsXkee56Kw26bZewvZVjid6o3dJL2H0oQd9d9oY+mGP5PWlUwNEbzock9XSMmMeDX6yGw1qLI7oLXb9iUYvROsLdPzeX1NNh/LvSKI3RHmfzwh8PiSawdCFIXpDo0LGEhEomeh1E7hcCE8ctZX6Nz1LC3rnUxtymk6v2218KSrr7j1Gte8at+QGra+yHBurzLgOERYhXvUsFMB0ivmf4sNgtXtMLK9/2z//O/3w+mvpFGKxvPqLn9r2jz8UYvwteerLMKKdTVU0gOV169+s3QXRngZov/CGg9PmsOMZu5nNnGI7plGeZuPsgz1fUB+9XF7u4PRq/pNLcRlmcJgaVjdS7aen0/ppvanxpTdo2UGW/azhlB/9RVEuKDzBns4KnNyDfjB8NN2lOcrxRK8pSid/nyjPjnhe28oaOJUdEvQyOxnwy+zf7Bjn3meyHTPYjh572NHMl7P/880zJrM7AD9jP5T4q/WXRN/7tlmW/d17EtEr7HCVflXsD0X0DmH7RDvq5xWwNiZ/zaO8Wf+o2UT7PipwXsjCntjt5ODXx/TU4Adp+vaB9HzrudQ09Wl6dFuOetdOoY9+XGMW/5h+XLuabn7iY+PvkTW07skpdLUURa3v06xpr9Bj28x0nueh2ez6+lv2j510R24VPXzTGFpx7N+MOnKn0IUbp9JbY042+bxPP170iq3+WU9NMX/Uhivv3T5vwrv/3IHtOZ8vOO3F+jir7Q6zDz7jZz8Wc1ftYg+2XsGu98vF9W7VyRgcPPJ0iPqDZ6mzc/z3TTl6fWWhFyIUImz4g1XMGf5U2Z8P8rNBudblWCez75K17LMgz07zTOPzwfPzx7z+5eeOulDUzyDzfYjezr6S0L7jo/ZXL6/Pn9GffYmGeDlidi+YQxvXzaQBeUOw+qXn6FVa0LeOGqwYYBnfO4imN61NVfSm6fTygPxtmwqClo+Ti0oudqXQlQ91yZhf6yEvKUQ1t5injx1YiAkWHwx7czbRyutftvEDqvsWO4xh/z5tds6gXPfdNqGtZtD7p9dve8hAKagK96Dl0Nmit2VGjgaf8wETOva1G/5LrQf163mYWg8WfmxJVziy6BWwTqPnbhtK1yjgEolexwQw4buHrYN+TASLLzX29+kHDMErXy8eZcKYHeCRY/sne5bfEJDOhLH4AtUr4F+oPORGim4tPbLo7UVDh/+Btr1RqEe6ntKltLWQq6GVx6aw+ExTNL/NBbzy0kVvTosPtUSlKWojp4dtn8iv/18PIXr9x6+I3Bun0H+Mf596Xcl+cLB/51fUFASwPn02Ue13dfOHwK6ipS5ZBm3Ksx/2QelBnxwh0h+6iDZuGEdDfvVt+psQ2f2yiB/HbXczNsbpl5X9+WBee1X3ErV/3z5sfs2+yd//ZpE+H7TrX/aB/8CuZmkugpd3EKI34QJG8dQJRHJ61dYtEasJX5nHLd1wdpdQs8g0iG5vuJxavvVK+Tq9/AG2JQUxKsfmFj7AhWTODIHQRTAv5yaeLZ5aO7b6/7WF6PzBton/uOYOOmXoEs+HyBz98xhHmNWUq5pP+Y5FjqzBD7IRGY7vF2xOb2HMRnjD55bMoZtnn+LZlRwTJ3nzR1UhU/ADbN63L6XTy0WRIVRHSnd45Fcpf/6JVjPhRKt37G+48vrQTTdHdXelCBXC8jjzS42XM7+IFjG/787fEvH0AWyuxjMHlzs1P2NfgsK1ZSKZi1hRfq8pehX3WK3/aiaKq+8k6iO/WJXyQlS3FdpfyNzjq5mLLBzksC9FtJpC1hKCXLiOe58uq95CWy8ebTqZHzMRuVgJBVDKPzSV2scPoD5fUgWuKWqr/o7ue2kKfW/s3xZEKK//jJcNp/RGVv+Ky5hTWqjfcIs/Npxitu4ubJzD3OG86Uz3Mp3YgPZZrLp//w1OnuEHocprwl9xfeUshA1vcL++ws5lcL5Y9TPRu3lOt2hxvh5d8bojVLGfD7q4FeLTFLrDuQN8bkqfDwzoi+w6ufIzBREtfnSbP5rl5wNEb/BFgBxlRSC26OWjCIrJTZoel1RaTq9XbKyX6JWOcKAgNJ1fKzSBD9QlPGH7GJPAjz+gV789ny77Py9QbmYtrX57MT3MgkStdA1UkOgtttMru5OG6HVfA+mI3qB4Xy/ReqB9Fy1s3mWERVgv5y4NiUSvJTpZA+tZGAMXsrroFSJUhpGYHZECWE2zlTdFr1f9UjS7gZd1slhJupwJY8tl5gL6I2dfXCevINhc41nl7XuXslZ+JgxvnbZFhEWIF3MxB228w7weTNFriWbOzwwJUG7/29pW0i3Rq4huIxxDil5Wn1/7YfrPqvAUpSHL8z4Icc3EuRvHsKLXiTnIyQ1Kj/uprZUTwvd18ebRSx+I7fomEb1l+fkgrm+2g09+Glv3txjQ9mxm1yMLfarTfhSn8vkg7+zIO03sB678jJFTZgufss8jnN6UrgdUkxqBRKJXhDMsrvZ8EC0o/Z25/Wli92Weu0HEHWUqMb2mMK3NO/efdYhKl/AFv+28hOhcqsT4+jm9HIJLeu11hd0kdE5BojcuV7VcoLBnmctb9AY/YOYqWg/tosGrdlHLyTX04TfPov6Hfke3NG5jArhYolcJJ7A5rcqXkDoxUuAGOb2qkyvCJVglvP6zFmtOr99qYX1bdA/7EmYOk3SdAxeXjOlVRKRaxuF0+lX4Mbud/zKLYWWOlBX+oIteTWQfMQVwkNPrJ3qtLrm0H7L/4Z1et/GbY/psL7r017+nrVXnmKEfhbzxRW/gBJY4wx76ZFh/aj73BbpqGTuKPOJLD2+QxYOd3jL9fBDX92vsB/Bwovf5nZ5vEA28j12D7Dos6ueD/LwxnV6PcAZ9eiB6Iy5YZC86gdii1wpVUPbpVXsblC4E7y8mpr5zA+9DGk6vvk2ZOjZdVOoXdpAg1EWv+Pti54NolpOriV4ZPuH1cFrnit6d9Jvck9RC+i1v7UE1c/eGoPAGryvAb7syXsYZu6c/yOb1pXaAZj/8G1qqx3ySWb7DFL2Ojsn6vcoT2Zwj5paOYmEEr+amaXuJyvAGvQE9ptZD9MoH1Rz9k+XD1u/Vvkd51TnmRT3HFyB6vWJ2dVGrz491i98rZlfG5IZM9xS9HuWt9j1ijq3+G1wdD7RZMbfB5W2CVop4LcTBu/6if6ek3gB/qG3zZ+KIXu87QhX7+cDvslT/LyOenzu71p0Zl5h/EY6gfw4HXf/67i6a00v1xo9i/WX9yLYnQPSmfjmgwoQEIoleIVSV7WNrnthDGy4tPAgUKb1IB1NwHmk4vWqMrs5YPihmvX8DiztdUYgrDBK9+mlmSxblaM6LecfuC16il7er1+EbHpEgptdrfXmPsTSiV4qqP4qHa9x6KWNtZVpKopdtPdbcuImG7z4sKu7T82ya15O5vR+QuTVZEUQvF5RbmJMjvsBcbjfqw9fDD2y3H1n5PgyYuvMC/8K673vKF6S2e4Oo30c0u93ejC16eVva7gX8LR/Re+GIGprHdl8wdndwitKvjLiCvvPU5cruD/bwCNfyEUSvvXxQ/+Vk7aRbh6+yhWh47t6gjN+KfzYfXONJ1oNv1sN8Bgfv+hN+axS5uL5zQ+zwBt9tDSv988EUuZYIDSt62eT5fj4EiF7+IK26s4u6FlweZoXoLfLFguojE4gkeiPX3kkFkjq9QaK1k4ZVVs2WAyOxg0PbQtr52nyxdVM2XthHN9k8usT0JqsQpSuSQHDcf0UOq7M7N2TH8AAAIABJREFUbXs+wNyicNF1RogTRG9nzw7aD0Egk6I3qdPru9NCCKhdIUs5iF7uej41+Eyafu4vrS2JKp89RG+yOYToTcYvG6WDwp+yMcpOGIW6U4zYl1veFfq/5paK9nAKOL2dMEdo0pdAJkVvUqcXayaYgB5eIfcoDi6Zdg7+NPlCOtq+zToxL+0WSlsfRG8y3hC9yfhloTT/TPg5fTn/NNvXGa90CfCHV79ubJEoXy7hTbYdgrTwv3T7g9pAIBqBTIrepE5vNITIDQIgAAIgAAIgAAIgUO4EMil64fSW+7JD/0AABEAABEAABECgtAQyKXrh9JZ2EaE1EAABEAABEAABECh3ApkUvXB6y33ZoX8gAAIgAAIgAAIgUFoCmRS9cHpLu4jQGgiAAAiAAAiAAAiUO4FMil44veW+7Cq/f+Wze0Xls4wzAjwdHocayoAACIBA1yYQSfQeWj6JzqtnRx+qL8cxxHvpmQljaf57ZiYt3XZq2wVzaOO6mTQgXzjVLY3pSN3p5SeaTcpR2ttyyZPd0q63XARZscaXxhpJWkfQPsXi4Iyfmq1clLUDNJLSS6889gFNjyVqAgEQAIGsE4guevfX0b6Fo1y55OhVWtC3jhocQtjILgTvfil02wxxfNYyz/riwk/b6RVfrOd0o/zt4XskRNHGnHW0sFvJoovCIol1PpayGF/46Ug9p5/otZ8Ul8UDNFLHGbtCiN7Y6FAQBEAABLocgVRFrxC13d1FrCGIV9CxpnW0oLfh7J6weR6ddPMBmt601novjRlI1elt7aAh1UQXtldFOvwgjChMY6y+dXSy6C36+DqxAW/R63JYBju6Mzd+H81qfz3SGurE4VVM0xC9FTNV6CgIgAAIdDqBFEWvEdaw5rY9tOFSZ7iCELgzu9H97fU0Jd/BBl4Ig6h5wr1MXDppOr1e4kZ82a7OWV0ctL6Kto8xHdC7C++rY5i12xDOvuEHXKhuqKJtf+kQ9fN66+49RrXv5kiW5w7x8gXdRHvixcsscXGVPURvmPKdOT4+JFv7w8jhmHv1L+6aiVrOU/RygXvVZ2hlx5PmaVCm09tCNGhTvjBnURsMmV8cv8qOBy20zwtyIX4VLV36AbtbcaaoKSj8wpbO8qfXd4PHyvtepAvHjqelojcjtB8EBWYiOTdNG08BBkRvyIWBbCAAAiAAAhRd9KoxvUpMrnRyT2wYTS3fqqdmAXeQ5eIK0fuTfiKG9/zWx2niqCX0X09sout+5C2U485Pmk4vf2Bm2yZD0MpXGBc3TB4hVvVYYfM9qq+iT46wEAkmoC3he50RYhFGtIq+xhS9YfoeJk/c8elCRvy9tyDqQ7Xts3hsD0Ep+eQPlzDrzlf0Png27XxtPg1oXUSjqu+k/9z0Ic2850x69L4wotcUqC6dCCc8jfK/VgU2F+KyT1Lwdv8l5VdMKAjgtkLcsRDOL11tjCEMjEh5pKAtCN2gcBB3IW80CtEbCT4ygwAIgECXJhBJ9KqkrPhdU/hKIdusCGHx4NviauHu3vzyHCF61162la57IGeKYSOu18sdjjszqTm9Hg6qdGql8+rWz1DCzEf08ofbJihxwW8yd7e2lKKXie3OGh8XpTk1nEQLMQnDX85J7rgOyjOWcV+5qvmU71jkKB4ket+4cj2NmFdlOpiG0HMTvblcjvIJHuR0Ky9EpCVqTZE5Wbq8LuEXTJxfXr2BBrS/Ie5ECJH5nb9KJRzD2T8XFqooF335gCbnpVPO0bsIeXNGIHrjrmyUAwEQAIGuRyC26OWo1JCFqfktjphdKYxbWPhC01/msvjdF4gc7nAd8XS3kIi405GW0+twVJUO2UIUXG6/V7Lo5cPstPGNM2Ko3+runH1VhAf1z2/tFN3pHb+GyLZjg7doc/YzqdPLalSFoy4iTff5VUfD9hADQ/i+Y+RKdfeJANHrCA/hHfD+0QDRG/dTEuVAAARAoOsRSCR6VSfXEL12Aas+vLboqBHS8CdF4B7ftoK+PqqdrvxIxvmmMwGpOL2mu1ibrzJjM737JnZhGFjFbhcXYnkrXfSqoy3p+EzRG+XBQbf+pbOSvGvxdHpNUflHNbzA1b0sZg8L7u7BI1Oo53FrrFheQxAXXN3gXqS9+0Qc0QunN3iekAMEQAAEQCCIQGzRywUrF7HNyvZkQgRvHW3tvWvfoixfsi3L0nB6o2xT5uo2maELfiECfjGvQeENlsg2xflbFzsf9vKL6Q1V3lw9nTq+oBXM0jvD7Sv7LctEyEB3uvXobsqv+Y2ya0R0EWsPl5ATYjrSPg+ZuU9dgOiVD93d5B1zrNbbGXMfYkkiCwiAAAiAQBkSiCR6bQdLsMG47brgf/iEdnDFdenv0csZp+H0OuJKlcnTdw4gl/AGnl3Pp+6+wHdj0F8ifUfh4TavmF6SQtcMAdj0Qo7GPpC3djiQ+/+61t+HvRtQvtPHx7roGIPCOGz/inm9+R9Ooe0+oAi4YvbJXrcpSl3b1vrHCyohDPrODe7hDXF3pQgSvbwzWoiHT3gFRG/pVhRaAgEQAIFKJxBJ9FbKYJM6vUGnbVUKB/SzeATKf41EiSOOxynNB97i9aBzXP64fUU5EAABEACBziWQSdGb1Ol126asc6cJrZcbgXIXvfZtwIpBz3R6P9u5RyzD6S3G3KJOEAABEMgmgUyK3qRObzanGqNKk4DvASNpNhSxLis0IdUdF7ROiBPm2A4VnRK2YfTFtgPHDWzbN+Uh0ojIkB0EQAAEQKCLEMik6E3q9HaRuccwQQAEQAAEQAAEQKDLEMik6IXT22XWLwYKAiAAAiAAAiAAAqEIZFL0wukNNffIBAIgAAIgAAIgAAJdhkAmRS+c3i6zfjFQEAABEAABEAABEAhFIJOiF05vqLlHJhAAARAAARAAARDoMgQyKXrh9HaZ9VsWA/U7yKQsOliETvAxDwxxRHcRmkaVIAACIAACIBCLQCTRK44Zrt9hb0g5hthI0E5d80p/fyLd315PU/IdsTruVyh1p9c8UpgfDVybQm/DbnclTyULalfUtzFnnciWQhdRRUgCYo6u60b525UCjbW0+R8a6PObO2jw0RsL/77CeQqfazPFLv/QRbR5zutm0zPojHwDnaF2JET7cg0Hrc2QGJENBEAABEAABIpOILro3V9H+xaOcu1Yjl6lBX3rqMEhdI3sJ2yeRyfdfIDuvrMP/WBRvmiiN22nV2yAf44mbNKYmgAxDdGbBuTi1eH5Y6NtCW3vN5eOWaK3jXrt3Uo1fUP2pVTlhbjNO0VvyPbF+hxYhT1yQ04rsoEACIAACHQugVRF7ztz+9PE7stcRTEXxN/vu5n6fbSYbn55Dp00s1vRRG+qTm9rBw2pJrqwvYoe6ZPyZKXkIMPpTXlewlTnty6EaHyBjt/7a6rpUP4dSfSWoLyv6A3RfjGvjTBzgDwgAAIgAAIgEIFAiqLXCGtYc9se2nBp3rcLwvEtouhN0+nVj5v1uq0rTohaylwv8za3cIdXF25nu94G9hC9YcIf9PppGFnhDVafx3VQbpLZh/pC3/jk2MorZeXE6fUPWl9F28cYqdzhW76gGw0dy8bc3XhPTZd5at91H79b+Vm77T8q/NoP0/8I10CsrEl/aPz3TTl6fWWhaREKETb8IVaPXQp5id4I9buGd0Qoj6wgAAIgAAIgUCoC0UWvGtN7wRzauG4mDcjnyQhtWEEnNoymlm/VU7MhhWh601pa0NsugostetN0ermY3bapIPj4qBzvaeKVC6KxA7tZIlEIuL0uMbdBTq9Huqive+G2si7ALNEsxazmyOnl9f4FCToZdiGFrv5DQL/t7ZrOBLEUulHbD+p/0MVjO8JWyawLd796EoW8sJjajRvG0ZBffZv+JqizxUxPQfTqPwqL2V3UDQIgAAIgAAJJCEQSvWpDVvyuKXzPb32cJo5aQs2KEBYPvi2udoQxFFv0pub0ctG5xClW9S96XYQ5JsSjHoojel1uKXuJXtVdVoW6Y7cBrU4pUnX3VY5LOrXS+ZU/BHI8BOSoEQ5Sqz3Zr7bvKK/xCWo/qP+2dXpcB+XZA4hxX7mq+ZTvWOQonsjhFA+SdYsW5xt3AH7l0hK9eIiyGLODOkEABEAABFImEFv08n6o4nVqfotweo81rbOcXSmMW56whzwUW/Sm5fS6iTvB3xSJUth5ibC3zFv/ooxLCEES0auKSlfR2+bxgJHZd1vfzEWlilxbiIXWdy/RKxzxI+yHAgup0MM51DJBopd3x7P9kP33u07ScHoTiV7eOWUHhaOXPtA5ri9Eb8ofp6gOBEAABECgnAkkEr2qk2uI3jpSBa4MeVCFsC6Wi7FlWSpOryZs9Um0hBsXeZobrMf3CnHr4hgnEb3qg3VxRG+UB/P0cAWHaFWd4h3uojeK0+vG2toloEwenkoseq1B7qFPhvWn5nNfoKuWjS/tZ0VaotfrB1ZpR4PWQAAEQAAEQMCXQGzRe3zbCiOcQdmeTIjgraOtOF+xm8P+Qtyv7EklOL2BMZtcyG6oom1/6aB//kYhfpePURe94u+LCw+aWTMSJ7xBr9+sw/VBthXu+8JG3WpKD9/QRa+eLsbLHtTKm+3rMbthnF511bq139lbZQXFPUf53OEPtW3+TFTR+yLNzl1FS3PTaGXHk/H2j05B9KYn/qMQQ14QAAEQAAEQiE4gkugVIvb5QiM1WtgCT7HlUeJ7HYdWWNW4P+wWfSiFEmk4vWFO2ZK3yfVb+fruC0sW5WjOi3lrdwX5IJg+RhleEJQuwytEiAILPfj3eURfXOyye4OH6OXtOtpQQhj8doZwLXtDQeDKMdlCCILCIzQnPKj9oP4nWTuhy5qO81HtIccw5fWdG+KFN+ympwafSdNb2OOim/LWQ5PB7RvO8r9u03NeEj3GuExc9+AxIwcIgAAIgAAIEEUSvZUCLGlML55I959pz1jnSlkgKfXTc1eOlOoPqubT+q9Qz+/8Fc1qfz39PaSDGpc/nPTT6EKUQxYQAAEQAAEQ6AwCmRS9SZ1et23KOmNyyrVNiN7CzEQNFUlvTk2n97MLaedr82lAehWHqinN8I5QDSITCIAACIAACCQkkEnRm9TpTcg088Uheu1THCYUJtVFsX4q5cavIbrplyxuekKqVYetjI95oLYtXdiyyAcCIAACIAACnUEgk6I3qdPbGROBNkEABEAABEAABEAABIpHIJOiF05v8RYMagYBEAABEAABEACBSiSQSdELp7cSlyL6DAIgAAIgAAIgAALFI5BJ0Qunt3gLBjWDAAiAAAiAAAiAQCUSyKTohdNbiUsRfQYBEAABEAABEACB4hHIpOiF01u8BYOa0ydQ8t0f2BCw+0L684gaQQAEQAAEyptAJNErjhmu32EfkXIMsZGwl56ZMJbmv2dmU9Jz9Cot6FtHDbKG65bRvoWjUieUutMbdFxw6iNAhV2FgOsxvuJ44Ab6/OYOGnz0xsK/rzCPlX7oIto853UT0Qw6I99AZ6jAgsqzvPLUQP00wa7CHeMEARAAARDoegSii979dZ5C1RK1DiFcEMNrbttDGy7Nk3/eZBORttMrTt46pxvlb0/Wr3IqjcMFOn82POegbQlt7zeXjlmit839iGAhbvNO0RuyfOcdrNH57NEDEAABEACBrkcgVdH7ztz+NLF7ePdW5N8/hzaum0kD8vnU6Kfq9LZ20JBqogvbqzrlqNfUoGgVQfQWi2zIev3WlRCtL9Dxe39NNR3Kv/tqdfuK3hDlM7q2Q84AsoEACIAACHQxAimKXiOsQTq5YTgWS/Sm6fQKcdhWxU6+Mm8ty4GZguGt7uYbw4h2NlVZx8EKF+3dQhn1NrJV57gOyk0y89SzNkwnOSidtyjc59VmWa1t0SOP/p3Cx3O3NhZzCLN2G8I+jfZt/WP1D1pfRdvHGA3JE92Gju2gx0x+arrM48XPrbzsu5wev/ZD8QuzgBPkSeVHh5fojdAv1/CKCOWRFQRAAARAAAQqhUB00avG9F5QcGmNcIUVdGLDaGr5Vj01CwKDaHrTWlrQ2+niFjO8IU2nlz/ws21TQbCJYZkxvrpQk5Ou3zbW4yfl3yTFqua4BaULQde9IMTF33tzBdEd0D/eTz/RlbT9IEEnfxBIfjqfIH6yvBS6+viD2g/kF3D18jUhxbqa1Ws9uFWXSshMCqLX80ddpXyCoZ8gAAIgAAIgEJJAJNGr1mmJVlP4nt/6OE0ctYSaFSEsHnxbXE33t9fTlHyHUtx82O39iS5pIXvuky01p5eLxyWKmDTb1EWTrSumgK3NV1GtkqCKZ7eHiKKkO57210Szb//MPoURvao7rfYvqH05Pt19VX8ULF/QzXJ++ftWnUeNcBI/ftLplc6x+BGizFNQ+0H9t63z4zoof6Qq9qLMVc2nfMciR/lUHNa0RO9G5xqXHfbqf2wgKAgCIAACIAACnUQgtujl/T1h8zw6aWY3IVyn5rcIp/dY0zrL2ZXCuOUJ4+E1+RJhDc97u8BJWaTl9DrEldkxr/dFssdOD2qZIHfNN10PW1CFtRme4Nu/sKLXLaSDlw3RPs9mucX8D5fQDzfRKxz1I0zAspAPfVcBdUxBote3/ZD991uDaTi9lSJ6k16LKA8CIAACIAAC5UIgkehVnVxD9NaRKnBlyIMqhI1tz47zDHtIA0wqTq+HY8v75ytYPESvw8n1EpVSMAaITr8H68IIqkCnN0H7+hzq4QoO0ao61TvcRa/KL4zoVftga79MHt4KM0eB10JaTq/PWgzsAzKAAAiAAAiAQIUQiC16j29bYYQzKNuTCUG7dbS1G4P+oFopBC/nnobT6xdzGeb2+WM35ayH31xjTuOKXim6B7o8XGcuuqD+iWymOHcLQQhyoqNudaWHW+iiVU8XTqoPv6ii1639Wh9+pbh2g+KOQ/UhBdGbivgO1VlkAgEQAAEQAIHOJRBJ9BphCYUO12hhCzzFlsfxoJtyMIUybrd6kmBJw+kNOiXLdvued1a7hW+7Ba6lBYnKoHTenL47hN5+UP94HfoOB47dG/QdK5RJ8Wtfr9ctvEHdmYFuKPxAkE348QsSvUHth+GXZP2FKms6zkf1hyQDC++hT4b1p3/dpme8xH0vX7/6ysT1DhwyMoAACIAACIBACgQiid4U2itJFUmd3jCisyQDyWgjYWKOMzp027Acu26UeNBweUsMHM2BAAiAAAh0KoFMit6kTq/rNmWdOk3ZahyitzCfUUNF0loJqYRXpNUZ1AMCIAACIAACJSCQSdGb1OktAfcu3QREr336g0JpirFYeJsDtW31itEO6gQBEAABEACBciGQSdGb1Oktl8lBP0AABEAABEAABEAABNIhkEnRC6c3ncWBWkAABEAABEAABEAgKwQyKXrh9GZleWIcIAACIAACIAACIJAOgUyKXji96SwO1AICIAACIAACIAACWSGQSdELpzcryxPjAAEQAAEQAAEQAIF0CGRS9MLpTWdxoBYQAAEQAAEQAAEQyAqBSKLXOEZ4h33syjHERsJeembCWJr/nplNP6ZYLX/dMtq3cFTqLFN3es0je1ceqaLaCL2Vp5ZFLRehiQrO+jE9NfhBmr59IK08NsXG9dP6B6nn/IP2sT00m/K3/631XsuMeTT4yW7G3xddQTubLqcBSomg9AoGh66DAAiAAAiAAAjEIBBd9O6v8xSqOXqVFvRlRw07hLCzZzJvi8tRxjHGYSuSttMrTs46pxsTXYVmwmzuX86iN0z/k86DZ/n1qyg34SA9vPgUun1e3l30to2h/Ioa1yqEoN071hS6png+93orf1B60caFikEABEAABEAABMqWQKqi9525/Wli97DurekIj2ukfbVnpAooVae3tYOGVBNd2F5Fj/SJJnpTHVTKlXWe6N1Jt+f+jc7OT6VaIX6rIorenXRHbjMda59dmA9TRM9qu4O9F5SeMkhUBwIgAAIgAAIgUBEEUhS9hohdc9se2nBpPnDwx7etoImjtlL/pmdpQe/g/IEVKhnSdHqFOGyrYi5iTrQg/r7b+Lf+mrXbEMZ6Hlt4Aw+V2FBF2/7SQUNX52jQ+iqqu/cY1b6bI1me1yvcZZYuXsOIuZpVttv30kWWfVDbcJx4xttckhN1nBKi/1FYJ8obR/Q6yphO79tVNKhxEW0/ogtpLX1Moh6jMAiAAAiAAAiAQIUSiC561ZjcC+bQxnUzaUA+T0a4wgo6sWE0tXyrnpoFkEE0vWmtTdQKN/h5k1aIMIg4XNN0evlxrds2VdF2TSyFckrdYoHN96i+ij45YghoS/heZ4RQCMHbvSC0xd97DdHK41aF4B3oFOJS+PqJXhn3Gqr/HvA5k8e6OxP5OHROvvPnJ3rVmF41ZpeXWfIFI7Sh9RW6rHoL/eemufRP9yymR++rN0SvXzpEb5xLCmVAAARAAARAoOIJRBK96mit+F1T+J7f+jhzbpdQsyKExYNvi6vp/vZ6mpLv0GCZ4Q1nhQ2HCM86NadXcUjVh6R4T0KJRh/RywXqBO66bjTE7JtcyJqil4vKnBpOoYZYHDXCLWrz9ofqVHGepujNHddBedbXuK9c1XzKdyxyL+4heu2ZebjCKnr44tGG0DVF7+vj3qOR32HuuAhpMNxcVfR6pkP0xp1KlAMBEAABEACBiiYQW/TyUZ+weR6dNLObELVT81uE03usaZ3l7AY9rKaWd4ri+FzTcnod4lHpUtFE7zhD1L7l4qSK8IcdLFRhUo70HSHUvqYpet1modhOr6NNVRzzf1+1S9uxwRDGr296wHB6/dIheuNfWCgJAiAAAiAAAhVMIJHoVZ1cQ/TWkbobgwx5UIWwykqI3p/0s0Ik0uKYitNruqu6oyr7WGzRqz84Z7Hx2D6tWE5vWnPiWk8op5dIbGF2Zy/jgTczpOEwF7hSwLL3Lqn+A/vhFSK9qANC5SAAAiAAAiAAAuVKILboNR5EY+EM+j68W0dbIlbE7+4vxP2qEKJsbxYVXhpOr9s2ZbZ+mOJTffjM6VC6uLKKaPUKb9BjdvV6hdN6U856uM435tcU729drD0MF6b/UcFHzR9G9Joid+vSOdY+vUFbkgWlR+0m8oMACIAACIAACFQ+gUii1/YQGht7jcseu7Y8Snyv49AKj/JpIE3D6XXE1bp0zLbDAkuXAljfWUEW1cMTvEQvz++oQ9vBwRZioO/uIIWuGSKx6YUcjX0g79gBwqv/acyBdx2F3RRseXKnmPG5RLaDJVgmsSuDLSxBq+PGKdqevkHpxR0hagcBEAABEAABECg/ApFEb/l1371HSZ1efZuyShk3+gkCIAACIAACIAACIOBOIJOiN6nT67VNGRYRCIAACIAACIAACIBAZRLIpOhN6vRW5lSi1yAAAiAAAiAAAiAAAl4EMil6kzq9WC4gAAIgAAIgAAIgAALZIpBJ0QunN1uLFKMBARAAARAAARAAgaQEMil64fQmXRYoDwIgAAIgAAIgAALZIpBJ0QunN1uLFKMBARAAARAAARAAgaQEMil64fQmXRYoDwIgAAIgAAIgAALZIpBJ0QunN1uLFKMBARAAARAAARAAgaQEIoneQ8sn0Xn1O+xtKscQGwl76ZkJY2n+e2Y2R7qaZxBNb1pLC3rnk47DVj51p1c5OriWtcRPS1u+oJt2SliqQxCVyVPZVh6pIt4uXukSqGS+tlPrLrqCnbZ3OQ1IFw9qAwEQAAEQAIFMEYguevfX0b6Fo1wh5OhVWtC3jhpchW6hiBDPWz9Lw94+Rv2bnk1d9Kbt9Irjes/pRvnbjTFA9Jb/NSBO1duYcxy9rPa8UkWvELx7x5pC1zxy+dzrtaOYy3+O0EMQAAEQAAEQKCWBVEXvO3P708TuyzxFMR+YIYxXUL6pjnKXLKdjTetSF72pOr2tHTSkmujC9ip6pE9pRW8pF0LW2gojeitzzDvpjtxmOtY+21qPtH4V5SYcpFltdxTeq8zBodcgAAIgAAIgUDQCKYpeI6xhzW17aMOl3uEKUhjvX5gT4rcYojdNp1eIp7Yq5qLlrEmQTm/dvceo9l3j/UHrq2zhDsIdXm2WGUYOx1G6jLaZrWftMDdZtHl3oT09vEG2P3RsBz3W3ahh1u6CKLf6PK6DcpPMesy6ZXtB/bOla+Nza18fvz4+dQxB/ed99Gvfka7w1dmpfCUjX748lGVDFW37S4eYPz4uOc8q4yB+RbtihcCtopXHppghL6bT+3YVDWpcVPSQm6KNCxWDAAiAAAiAQJEJRBe9akzvBXNo47qZNCCftxzcExtGU8u36qnZkIK2mN3j21bQ10e105Uf1dPU/Jaiid40nd5ZuQ7atskuaKWgk0JPiigp7IQg6l4QyuLvvYVb7Xq6qO+6QviENedaLLF8X7YvRZhevyXqpBjU3Oqg/gW5pEHjF+kDC+PX+YTqv09oQlD/OaegMQiWbnzN94j9SPjkiPHjwxK+5hyFad/vuuVrSv5YUfPpPxxc6+Cid8kXjNCG1lfosuot9J+b5tI/3bOYHr2vHqK3yB+YqB4EQAAEQKByCUQSveowrfhdU/ie3/o4TRy1hJoVISxidxdX0/3t9TQl32o84DaukfbVnmGJ5LJ2erkAWuKMC3WL6eVCJmeGQKj/Fsw00akLaTc32VOUsQRH+1o/dZHJ61LbDOqfLK86m+rc+47/qBEOUpu3P3ynth+2/17tB/U/DdHLf8BMUOKC31R+mIRpX/LKHddBeVZX3Feuaj7lOxYVipui9/Vx79HI7+TMkAbD7YXojUsZ5UAABEAABLoCgdiil8M5YfM8OmlmNyFq3ZxbKYxbnthDTX+ZSyf9pJ/DGS6G6E3L6fV6YM1L9AlH+AxD9L1lhh2oi8jmzCpOcByn17Z7hJvo1UIyrH6YAtyvf5ZolCEWWniG7/iZO8pDKrxCMraPCRbtvu1H6X/Ag2x+Tq+n6GUhI0Fi1lNpAAAIKklEQVTzG/TBkdjpvWoXkW3HBh7nu4pe3/QAnN4g+EgHARAAARDosgQSiV7VyTVEbx1xgStjeuVDa1zYjn+0miY+78FZcYfTmIlUYnpNcaU7lrx/DtGnOrmm06k++KaPSY9XpRtytphhK79PeENS0evXP72/eriC7/h3uIveKE6vb/suDxa6rZmk4Q1BojcKvzTWdOFHixHScFgVuCzM4ZLqP7AfnjLON9UWURkIgAAIgAAIZIJAbNHL43NFOIOyPZmxFdloy80VD63tL8T9qsRUQVyO+/Tq25SpfddFn2uMrhLTqq8Ux+1xr6VUDNFrinY15jZoJbuNTxXderpwMm8qCHk95jgovMH1R4LujPvwFeVNdl4hEmoemyutMPcKb9B/BATxSzsdW5alTRT1gQAIgAAIdAUCkUSvELGKW1ujuLoSli2Pj4NbTNGbhtPrJ0wdOy+4OLWOPEE7DCjprjs7MMBSwAWJRs8YYWVF+/XP4US7hDfIXStElS7jt93CDwqP0MIzgtrnTfr1Xw5Tr0flZ+u/WUCkK061l+gN237xPkAKOzaINm6cgj16iwcbNYMACIAACGSEQCTRWyljThrTG0Y0xmbhcXteiMSlxpZl5f7yinUu936jfyAAAiAAAiAAAl2XQCZFb1Kn122bstSWiNttd1MIH9W2RkutzZQrguhNGSiqAwEQAAEQAAEQKDqBTIrepE5vsak7bt+zBkPt0VrsjoWsH6I3JChkAwEQAAEQAAEQKBsCmRS9SZ3espkddAQEQAAEQAAEQAAEQCAVApkUveXu9KYyc6gEBEAABEAABEAABEAgNIFMil44vaHnHxlBAARAAARAAARAoEsQyKTohdPbJdYuBgkCIAACIAACIAACoQlkUvTC6Q09/8gIAiAAAiAAAiAAAl2CQCZFL5zeLrF2MUgQAAEQAAEQAAEQCE0gkugVxwzX77BXrhxDbCTspWcmjKX575nZ9GOKA8uH7rtnxlI7veIwi7tz1olpyUfAazhAt6xppmUHP0/fnTaGftgjfK3bGp+lYbtzZoHo5cO3hJwgAAIgAAIgAAIgUBkEoove/XW0b+Eo19EZRwvXUYNDCBvZhWj2KZ8WslI7veI0tYuJdjZV0QBzEL9/u5FG7v4znTriGtraO87IIHrjUEMZEAABEAABEAABEHAjkKrofWduf5rYfZmnKC6V6E3V6WWnpdVNJ+q+uooe6eOC0DxhTT9cQrqtl0y4NqboTb5gjT70cHWK60Z0eI8pedOoAQRAAARAAARAAATKikCKotcIa1hz2x7acGnedZClEr2pOb3m8cBvdfc+MY2fTlb7bo5WHqmiWjZq7vD2av6Ty/hlmMFhaljdSLWfnk7rp/WmxpfeYCEMLPtZwyk/+ouiXFB4gj2dFTi5B/1g+Gi6S3OUPUVviHGV1SpFZ0AABEAABEAABEAgIYHooleNyb1gDm1cN5MG5PNkhDasoBMbRlPLt+qpWXRsEE1vWksLehsi2BETrJRPOA5b8TScXhmnS8OI1v20iq7u69JDKR6XVlH+diM9vOjtQf16HqbWg4UfCNIVjix6Rcun0XO3DaVrlG76Ob08G3d7H29h/6gv9D/NeUBdIAACIAACIAACIFAuBCKJXrXTVvyuKVzPb32cJo5aQs2KkBUid3E13d9eT1PyHbYx6+W5cE7rldTpfXPGMRq6OkefuyFHLStyVpyu3j+ZT7q8arp3eIN0evmDZoZQHSnd4ZFfpfz5J1rVBIlWI6N37G+Y8mHHmtbcoB4QAAEQAAEQAAEQ6AwCsUUv7+wJm+fRSTO7CVE7Nb9FOL3HmtZZzq4Uti1PuIc8qOV1UZwERlKnVwpB7vKqD6fZ+iRd3ptylGfCWH+FEb1B8b5eovVA+y5a2LzLCIuwXs5dGiB6k6wilAUBEAABEAABEMgSgUSiV3VyDdFbR6rAlSEPqhBW4fk5wUkgJ3V6edtB4Q1B25QFi173B8zUcbuK1kO7aPCqXdRycg19+M2zqP+h39EtjdtctzYLEr0yHhnhDUlWG8qCAAiAAAiAAAhUAoHYovf4thVGOIO+D+/W0Vacr9jNYX8h7lcF4lY+LWBJnV6rHz4PfLltU6b23xnbqz/I5iV6D9Dsh39DS3O6e2yW7zBFrwOWrN+rPJHlLONBtrSWGuoBARAAARAAARCoEAKRRK8Qsc8XRlbjErZgy6M9qBamfBrc0nB6VeHr2LLMY5sye99lrK18NyXRyw6paG7cRMN3HxYV9+l5Ns3rydzeD8jcmiyE6GXlsGVZGisNdYAACIAACIAACFQKgUiit1IGlZrT6zFgfZuySuGCfoIACIAACIAACIBAVyWQSdGbqtOrrwyXbcq66uLBuEEABEAABEAABECgUghkUvQW2+mtlMlFP0EABEAABEAABEAABAwCmRS9RXV6sXJAAARAAARAAARAAAQqjkAmRS+c3opbh+gwCIAACIAACIAACBSVQCZFL5zeoq4ZVA4CIAACIAACIAACFUcgk6IXTm/FrUN0GARAAARAAARAAASKSiCTohdOb1HXDCoHARAAARAAARAAgYojkEnRC6e34tYhOgwCIAACIAACIAACRSUQSfQeWj6JzqvfYe+QcgyxkbCXnpkwlua/Z2aLnJ58vHB6kzNEDSAAAiAAAiAAAiCQJQLRRe/+Otq3cJQrgxy9Sgv61lGDQ+ga2YPS0wILpzctkqgHBEAABEAABEAABLJBIFXR+87c/jSx+zJPURyUnhZSOL1pkUQ9IAACIAACIAACIJANAv8/jECYVrV9QlMAAAAASUVORK5CYII=" alt=""&gt;&lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35736"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Thank you very much!</description><pubDate>Wed, 01 Nov 2023 15:45:49 GMT</pubDate><dc:creator>Amelinq</dc:creator></item><item><title>RE: different trials, made with stimuli from same list</title><link>https://forums.millisecond.com/Topic35736.aspx</link><description>&lt;blockquote data-id="35735" class="if-quote-wrapper" unselectable="on" data-guid="1698851479270" contenteditable="false" id="if_insertedNode_1698851478604"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35735" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35735" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35735" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Amelinq - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35735"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="35734" class="if-quote-wrapper" unselectable="on" data-guid="1698851479270" contenteditable="false" id="if_insertedNode_1698851057864"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35734" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35734" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35734" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Amelinq - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35734"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="35733" class="if-quote-wrapper" unselectable="on" data-guid="1698851479270" contenteditable="false" id="if_insertedNode_1698846591715"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35733" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35733" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35733" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Dave - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35733"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="35732" class="if-quote-wrapper" unselectable="on" data-guid="1698851479270" contenteditable="false" id="if_insertedNode_1698845486148"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35732" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35732" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35732" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Amelinq - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35732"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="35731" class="if-quote-wrapper" unselectable="on" data-guid="1698851479270" contenteditable="false" id="if_insertedNode_1698845075514"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35731" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35731" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35731" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Dave - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35731"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="35730" class="if-quote-wrapper" unselectable="on" data-guid="1698851479270" contenteditable="false" id="if_insertedNode_1698844854222"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35730" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35730" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35730" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Amelinq - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35730"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="35729" class="if-quote-wrapper" unselectable="on" data-guid="1698851479270" contenteditable="false" id="if_insertedNode_1698844359131"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35729" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35729" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35729" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Amelinq - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35729"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="35728" class="if-quote-wrapper" unselectable="on" data-guid="1698851479270" contenteditable="false" id="if_insertedNode_1698844183126"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35728" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35728" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35728" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Dave - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35728"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;What the error message tells you is that no &amp;lt;trial P2irrelevants&amp;gt; element exists in the script, thus the blocks -- where you reference such a trial element -- cannot run. In other words, the thing you told them to run is not there.&lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35728"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Hi Dave,&lt;br/&gt;yes understand that, but trial.P2irrelevants is defined in the script (where TRIALS PRACTICE 2 is written above). I will put the part where I define the trials here:&lt;br/&gt;&lt;br/&gt;TRIALS PRACTICE 1&lt;br/&gt;_________________________________________________________________________________________________________________________________________&lt;br/&gt;&amp;lt;trial Pirrelevants&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Pirrelevants.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Pirrelevants.insertstimulustime(list.irrelevants.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if(trial.Pirrelevants.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;//timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial Ptargets&amp;gt;&lt;br/&gt;/ ontrialbegin = [ &lt;br/&gt;&amp;nbsp; trial.Ptargets.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Ptargets.insertstimulustime(list.targets.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if (trial.Ptargets.responsetext == "l")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no] &lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("s") // yes = s-key&lt;br/&gt;//timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial Pprobes&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Pprobes.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Pprobes.insertstimulustime(list.probes.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if (trial.Pprobes.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no; 800 = tooslow]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") &lt;br/&gt;//timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;TRIAL SOUNDS PRACTICE 1 &lt;br/&gt;&amp;lt;trial Pirrelevants_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Pirrelevants_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Pirrelevants_sounds.insertstimulustime(list.irrelevants_sounds.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.Pirrelevants_sounds.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;//timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial Ptargets_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Ptargets_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Ptargets_sounds.insertstimulustime(list.targets_sounds.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.Ptargets_sounds.responsetext == "l")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("s") // no = l-key&lt;br/&gt;//timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial Pprobes_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Pprobes_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Pprobes_sounds.insertstimulustime(list.probes_sounds.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.Pprobes_sounds.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;//timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;TRIALS PRACTICE 2 PHASE (time out, wrong FB)&lt;br/&gt;________________________________________________________________________________________________&lt;br/&gt;&amp;lt;trial P2irrelevants&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2irrelevants.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2irrelevants.insertstimulustime(list.irrelevants2.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if(trial.P2irrelevants.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;/timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial P2targets&amp;gt;&lt;br/&gt;/ ontrialbegin = [ &lt;br/&gt;&amp;nbsp; trial.P2targets.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2targets.insertstimulustime(list.targets2.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if (trial.P2targets.responsetext == "l")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no] &lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("s") // yes = s-key&lt;br/&gt;/timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial P2probes&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2probes.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2probes.insertstimulustime(list.probes2.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if (trial.P2probes.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no; 800 = tooslow]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") &lt;br/&gt;/timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;TRIAL SOUNDS PRACTICE 2 (time-out, wrong FB)&lt;br/&gt;&amp;lt;trial P2irrelevants_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2irrelevants_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2irrelevants_sounds.insertstimulustime(list.irrelevants_sounds2.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.P2irrelevants_sounds.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;/timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial P2targets_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2targets_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2targets_sounds.insertstimulustime(list.targets_sounds2.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.P2targets_sounds.responsetext == "l")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("s") // no = l-key&lt;br/&gt;/timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial P2probes_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2probes_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2probes_sounds.insertstimulustime(list.probes_sounds2.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.P2probes_sounds.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;/timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35729"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Plus, it also seems that Inquisit does find&amp;nbsp;the &amp;lt;trial P2irrelevants&amp;gt; at block practice2_2 but not anymore in block practice2_3, or do I see that wrong? Otherwise I would also have had the comment 'could not locate the element P2irrelevants at block practice 2_2", right? &lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35730"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Just &lt;strong&gt;attach &lt;/strong&gt;the full script, please. It's not possible to answer your questions based on piecemeal excerpts that don't give the full picture. (To attach files, use +Insert -&amp;gt; Add File...&lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35731"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Thank you for looking into it, here's the script:&lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35732"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;&lt;img 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" alt=""&gt;&lt;br/&gt;&lt;br/&gt;You've a mistake in that block, the trial name is broken up (see above), so the script looks for a nonexistent &amp;lt;trial P2irr&amp;gt;, which is what the error message actually says:&lt;br/&gt;&lt;br/&gt;&lt;img src="data:image/png;base64,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" alt=""&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35733"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Oh dear... :-) Such a stupid fault. &lt;br/&gt;Thank you very much, Dave! Really appreciate you taking the time.&lt;a class="if-quote-goto quote-link" href="#" data-id="35734"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Sorry Dave, now that I sent you the whole script maybe you could answer one more question for me (and hopefully than you will be rid of me).&lt;br/&gt;All practice blocks run perfectly, but when I run a test block (&amp;lt;block test1&amp;gt;, &amp;lt;block test2&amp;gt;, ...) there are some "empty" trials. These are trials without a picture/word/sound, the only thing that shows up in this empty trial is the 'yes' and 'no'. The time out also works for these empty trials. It seems thus that only the stimulus doesn't show up.&lt;br/&gt;All the trials in the blocks are exactly the same as the practice trialsin the practice blocks who work as normal (with no empty trials).&lt;br/&gt;Do you have an idea?&lt;br/&gt;&lt;br/&gt;&lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35735"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;I don't have the stimuli (images, sound files, etc.), so I couldn't possibly tell you anything about "empty" tirals. My advice to you is:&lt;br/&gt;- Figure out &lt;strong&gt;which &lt;/strong&gt;&amp;lt;trial&amp;gt; elements this happens with by looking at the data file. I.e. is it always &amp;lt;trial irrelevants&amp;gt;? Or is it &amp;lt;trial probes&amp;gt;? etc.&lt;br/&gt;- Then double- and triple-check the respective &amp;lt;trial&amp;gt; elements, specifically the stimulus insertion logic. Take the below mistake as an example:&lt;br/&gt;&lt;br/&gt;&lt;img src="data:image/png;base64,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" alt=""&gt;&lt;br/&gt;</description><pubDate>Wed, 01 Nov 2023 15:16:30 GMT</pubDate><dc:creator>Dave</dc:creator></item><item><title>RE: different trials, made with stimuli from same list</title><link>https://forums.millisecond.com/Topic35735.aspx</link><description>&lt;blockquote data-id="35734" class="if-quote-wrapper" unselectable="on" data-guid="1698851059177" contenteditable="false" id="if_insertedNode_1698851057864"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35734" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35734" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35734" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Amelinq - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35734"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="35733" class="if-quote-wrapper" unselectable="on" data-guid="1698851059177" contenteditable="false" id="if_insertedNode_1698846591715"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35733" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35733" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35733" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Dave - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35733"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="35732" class="if-quote-wrapper" unselectable="on" data-guid="1698851059177" contenteditable="false" id="if_insertedNode_1698845486148"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35732" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35732" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35732" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Amelinq - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35732"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="35731" class="if-quote-wrapper" unselectable="on" data-guid="1698851059177" contenteditable="false" id="if_insertedNode_1698845075514"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35731" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35731" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35731" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Dave - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35731"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="35730" class="if-quote-wrapper" unselectable="on" data-guid="1698851059177" contenteditable="false" id="if_insertedNode_1698844854222"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35730" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35730" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35730" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Amelinq - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35730"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="35729" class="if-quote-wrapper" unselectable="on" data-guid="1698851059177" contenteditable="false" id="if_insertedNode_1698844359131"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35729" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35729" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35729" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Amelinq - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35729"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="35728" class="if-quote-wrapper" unselectable="on" data-guid="1698851059177" contenteditable="false" id="if_insertedNode_1698844183126"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35728" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35728" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35728" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Dave - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35728"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;What the error message tells you is that no &amp;lt;trial P2irrelevants&amp;gt; element exists in the script, thus the blocks -- where you reference such a trial element -- cannot run. In other words, the thing you told them to run is not there.&lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35728"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Hi Dave,&lt;br/&gt;yes understand that, but trial.P2irrelevants is defined in the script (where TRIALS PRACTICE 2 is written above). I will put the part where I define the trials here:&lt;br/&gt;&lt;br/&gt;TRIALS PRACTICE 1&lt;br/&gt;_________________________________________________________________________________________________________________________________________&lt;br/&gt;&amp;lt;trial Pirrelevants&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Pirrelevants.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Pirrelevants.insertstimulustime(list.irrelevants.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if(trial.Pirrelevants.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;//timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial Ptargets&amp;gt;&lt;br/&gt;/ ontrialbegin = [ &lt;br/&gt;&amp;nbsp; trial.Ptargets.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Ptargets.insertstimulustime(list.targets.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if (trial.Ptargets.responsetext == "l")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no] &lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("s") // yes = s-key&lt;br/&gt;//timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial Pprobes&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Pprobes.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Pprobes.insertstimulustime(list.probes.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if (trial.Pprobes.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no; 800 = tooslow]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") &lt;br/&gt;//timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;TRIAL SOUNDS PRACTICE 1 &lt;br/&gt;&amp;lt;trial Pirrelevants_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Pirrelevants_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Pirrelevants_sounds.insertstimulustime(list.irrelevants_sounds.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.Pirrelevants_sounds.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;//timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial Ptargets_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Ptargets_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Ptargets_sounds.insertstimulustime(list.targets_sounds.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.Ptargets_sounds.responsetext == "l")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("s") // no = l-key&lt;br/&gt;//timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial Pprobes_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Pprobes_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Pprobes_sounds.insertstimulustime(list.probes_sounds.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.Pprobes_sounds.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;//timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;TRIALS PRACTICE 2 PHASE (time out, wrong FB)&lt;br/&gt;________________________________________________________________________________________________&lt;br/&gt;&amp;lt;trial P2irrelevants&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2irrelevants.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2irrelevants.insertstimulustime(list.irrelevants2.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if(trial.P2irrelevants.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;/timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial P2targets&amp;gt;&lt;br/&gt;/ ontrialbegin = [ &lt;br/&gt;&amp;nbsp; trial.P2targets.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2targets.insertstimulustime(list.targets2.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if (trial.P2targets.responsetext == "l")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no] &lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("s") // yes = s-key&lt;br/&gt;/timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial P2probes&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2probes.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2probes.insertstimulustime(list.probes2.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if (trial.P2probes.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no; 800 = tooslow]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") &lt;br/&gt;/timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;TRIAL SOUNDS PRACTICE 2 (time-out, wrong FB)&lt;br/&gt;&amp;lt;trial P2irrelevants_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2irrelevants_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2irrelevants_sounds.insertstimulustime(list.irrelevants_sounds2.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.P2irrelevants_sounds.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;/timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial P2targets_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2targets_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2targets_sounds.insertstimulustime(list.targets_sounds2.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.P2targets_sounds.responsetext == "l")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("s") // no = l-key&lt;br/&gt;/timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial P2probes_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2probes_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2probes_sounds.insertstimulustime(list.probes_sounds2.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.P2probes_sounds.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;/timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35729"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Plus, it also seems that Inquisit does find&amp;nbsp;the &amp;lt;trial P2irrelevants&amp;gt; at block practice2_2 but not anymore in block practice2_3, or do I see that wrong? Otherwise I would also have had the comment 'could not locate the element P2irrelevants at block practice 2_2", right? &lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35730"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Just &lt;strong&gt;attach &lt;/strong&gt;the full script, please. It's not possible to answer your questions based on piecemeal excerpts that don't give the full picture. (To attach files, use +Insert -&amp;gt; Add File...&lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35731"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Thank you for looking into it, here's the script:&lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35732"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;&lt;img 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" alt=""&gt;&lt;br/&gt;&lt;br/&gt;You've a mistake in that block, the trial name is broken up (see above), so the script looks for a nonexistent &amp;lt;trial P2irr&amp;gt;, which is what the error message actually says:&lt;br/&gt;&lt;br/&gt;&lt;img src="data:image/png;base64,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" alt=""&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35733"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Oh dear... :-) Such a stupid fault. &lt;br/&gt;Thank you very much, Dave! Really appreciate you taking the time.&lt;a class="if-quote-goto quote-link" href="#" data-id="35734"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Sorry Dave, now that I sent you the whole script maybe you could answer one more question for me (and hopefully than you will be rid of me).&lt;br/&gt;All practice blocks run perfectly, but when I run a test block (&amp;lt;block test1&amp;gt;, &amp;lt;block test2&amp;gt;, ...) there are some "empty" trials. These are trials without a picture/word/sound, the only thing that shows up in this empty trial is the 'yes' and 'no'. The time out also works for these empty trials. It seems thus that only the stimulus doesn't show up.&lt;br/&gt;All the trials in the blocks are exactly the same as the practice trialsin the practice blocks who work as normal (with no empty trials).&lt;br/&gt;Do you have an idea?&lt;br/&gt;&lt;br/&gt;&lt;br/&gt;</description><pubDate>Wed, 01 Nov 2023 15:09:18 GMT</pubDate><dc:creator>Amelinq</dc:creator></item><item><title>RE: different trials, made with stimuli from same list</title><link>https://forums.millisecond.com/Topic35734.aspx</link><description>&lt;blockquote data-id="35733" class="if-quote-wrapper" unselectable="on" data-guid="1698846593523" contenteditable="false" id="if_insertedNode_1698846591715"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35733" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35733" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35733" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Dave - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35733"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="35732" class="if-quote-wrapper" unselectable="on" data-guid="1698846593523" contenteditable="false" id="if_insertedNode_1698845486148"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35732" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35732" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35732" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Amelinq - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35732"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="35731" class="if-quote-wrapper" unselectable="on" data-guid="1698846593523" contenteditable="false" id="if_insertedNode_1698845075514"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35731" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35731" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35731" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Dave - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35731"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="35730" class="if-quote-wrapper" unselectable="on" data-guid="1698846593523" contenteditable="false" id="if_insertedNode_1698844854222"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35730" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35730" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35730" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Amelinq - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35730"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="35729" class="if-quote-wrapper" unselectable="on" data-guid="1698846593523" contenteditable="false" id="if_insertedNode_1698844359131"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35729" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35729" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35729" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Amelinq - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35729"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="35728" class="if-quote-wrapper" unselectable="on" data-guid="1698846593523" contenteditable="false" id="if_insertedNode_1698844183126"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35728" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35728" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35728" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Dave - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35728"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;What the error message tells you is that no &amp;lt;trial P2irrelevants&amp;gt; element exists in the script, thus the blocks -- where you reference such a trial element -- cannot run. In other words, the thing you told them to run is not there.&lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35728"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Hi Dave,&lt;br/&gt;yes understand that, but trial.P2irrelevants is defined in the script (where TRIALS PRACTICE 2 is written above). I will put the part where I define the trials here:&lt;br/&gt;&lt;br/&gt;TRIALS PRACTICE 1&lt;br/&gt;_________________________________________________________________________________________________________________________________________&lt;br/&gt;&amp;lt;trial Pirrelevants&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Pirrelevants.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Pirrelevants.insertstimulustime(list.irrelevants.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if(trial.Pirrelevants.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;//timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial Ptargets&amp;gt;&lt;br/&gt;/ ontrialbegin = [ &lt;br/&gt;&amp;nbsp; trial.Ptargets.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Ptargets.insertstimulustime(list.targets.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if (trial.Ptargets.responsetext == "l")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no] &lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("s") // yes = s-key&lt;br/&gt;//timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial Pprobes&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Pprobes.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Pprobes.insertstimulustime(list.probes.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if (trial.Pprobes.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no; 800 = tooslow]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") &lt;br/&gt;//timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;TRIAL SOUNDS PRACTICE 1 &lt;br/&gt;&amp;lt;trial Pirrelevants_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Pirrelevants_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Pirrelevants_sounds.insertstimulustime(list.irrelevants_sounds.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.Pirrelevants_sounds.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;//timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial Ptargets_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Ptargets_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Ptargets_sounds.insertstimulustime(list.targets_sounds.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.Ptargets_sounds.responsetext == "l")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("s") // no = l-key&lt;br/&gt;//timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial Pprobes_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Pprobes_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Pprobes_sounds.insertstimulustime(list.probes_sounds.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.Pprobes_sounds.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;//timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;TRIALS PRACTICE 2 PHASE (time out, wrong FB)&lt;br/&gt;________________________________________________________________________________________________&lt;br/&gt;&amp;lt;trial P2irrelevants&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2irrelevants.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2irrelevants.insertstimulustime(list.irrelevants2.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if(trial.P2irrelevants.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;/timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial P2targets&amp;gt;&lt;br/&gt;/ ontrialbegin = [ &lt;br/&gt;&amp;nbsp; trial.P2targets.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2targets.insertstimulustime(list.targets2.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if (trial.P2targets.responsetext == "l")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no] &lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("s") // yes = s-key&lt;br/&gt;/timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial P2probes&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2probes.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2probes.insertstimulustime(list.probes2.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if (trial.P2probes.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no; 800 = tooslow]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") &lt;br/&gt;/timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;TRIAL SOUNDS PRACTICE 2 (time-out, wrong FB)&lt;br/&gt;&amp;lt;trial P2irrelevants_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2irrelevants_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2irrelevants_sounds.insertstimulustime(list.irrelevants_sounds2.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.P2irrelevants_sounds.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;/timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial P2targets_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2targets_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2targets_sounds.insertstimulustime(list.targets_sounds2.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.P2targets_sounds.responsetext == "l")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("s") // no = l-key&lt;br/&gt;/timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial P2probes_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2probes_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2probes_sounds.insertstimulustime(list.probes_sounds2.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.P2probes_sounds.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;/timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35729"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Plus, it also seems that Inquisit does find&amp;nbsp;the &amp;lt;trial P2irrelevants&amp;gt; at block practice2_2 but not anymore in block practice2_3, or do I see that wrong? Otherwise I would also have had the comment 'could not locate the element P2irrelevants at block practice 2_2", right? &lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35730"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Just &lt;strong&gt;attach &lt;/strong&gt;the full script, please. It's not possible to answer your questions based on piecemeal excerpts that don't give the full picture. (To attach files, use +Insert -&amp;gt; Add File...&lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35731"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Thank you for looking into it, here's the script:&lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35732"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;&lt;img 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" alt=""&gt;&lt;br/&gt;&lt;br/&gt;You've a mistake in that block, the trial name is broken up (see above), so the script looks for a nonexistent &amp;lt;trial P2irr&amp;gt;, which is what the error message actually says:&lt;br/&gt;&lt;br/&gt;&lt;img src="data:image/png;base64,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" alt=""&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35733"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Oh dear... :-) Such a stupid fault. &lt;br/&gt;Thank you very much, Dave! Really appreciate you taking the time.</description><pubDate>Wed, 01 Nov 2023 13:51:08 GMT</pubDate><dc:creator>Amelinq</dc:creator></item><item><title>RE: different trials, made with stimuli from same list</title><link>https://forums.millisecond.com/Topic35733.aspx</link><description>&lt;blockquote data-id="35732" class="if-quote-wrapper" unselectable="on" data-guid="1698845487110" contenteditable="false" id="if_insertedNode_1698845486148"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35732" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35732" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35732" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Amelinq - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35732"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="35731" class="if-quote-wrapper" unselectable="on" data-guid="1698845487110" contenteditable="false" id="if_insertedNode_1698845075514"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35731" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35731" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35731" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Dave - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35731"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="35730" class="if-quote-wrapper" unselectable="on" data-guid="1698845487110" contenteditable="false" id="if_insertedNode_1698844854222"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35730" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35730" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35730" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Amelinq - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35730"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="35729" class="if-quote-wrapper" unselectable="on" data-guid="1698845487110" contenteditable="false" id="if_insertedNode_1698844359131"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35729" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35729" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35729" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Amelinq - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35729"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="35728" class="if-quote-wrapper" unselectable="on" data-guid="1698845487110" contenteditable="false" id="if_insertedNode_1698844183126"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35728" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35728" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35728" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Dave - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35728"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;What the error message tells you is that no &amp;lt;trial P2irrelevants&amp;gt; element exists in the script, thus the blocks -- where you reference such a trial element -- cannot run. In other words, the thing you told them to run is not there.&lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35728"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Hi Dave,&lt;br/&gt;yes understand that, but trial.P2irrelevants is defined in the script (where TRIALS PRACTICE 2 is written above). I will put the part where I define the trials here:&lt;br/&gt;&lt;br/&gt;TRIALS PRACTICE 1&lt;br/&gt;_________________________________________________________________________________________________________________________________________&lt;br/&gt;&amp;lt;trial Pirrelevants&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Pirrelevants.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Pirrelevants.insertstimulustime(list.irrelevants.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if(trial.Pirrelevants.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;//timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial Ptargets&amp;gt;&lt;br/&gt;/ ontrialbegin = [ &lt;br/&gt;&amp;nbsp; trial.Ptargets.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Ptargets.insertstimulustime(list.targets.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if (trial.Ptargets.responsetext == "l")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no] &lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("s") // yes = s-key&lt;br/&gt;//timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial Pprobes&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Pprobes.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Pprobes.insertstimulustime(list.probes.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if (trial.Pprobes.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no; 800 = tooslow]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") &lt;br/&gt;//timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;TRIAL SOUNDS PRACTICE 1 &lt;br/&gt;&amp;lt;trial Pirrelevants_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Pirrelevants_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Pirrelevants_sounds.insertstimulustime(list.irrelevants_sounds.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.Pirrelevants_sounds.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;//timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial Ptargets_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Ptargets_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Ptargets_sounds.insertstimulustime(list.targets_sounds.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.Ptargets_sounds.responsetext == "l")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("s") // no = l-key&lt;br/&gt;//timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial Pprobes_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Pprobes_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Pprobes_sounds.insertstimulustime(list.probes_sounds.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.Pprobes_sounds.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;//timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;TRIALS PRACTICE 2 PHASE (time out, wrong FB)&lt;br/&gt;________________________________________________________________________________________________&lt;br/&gt;&amp;lt;trial P2irrelevants&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2irrelevants.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2irrelevants.insertstimulustime(list.irrelevants2.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if(trial.P2irrelevants.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;/timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial P2targets&amp;gt;&lt;br/&gt;/ ontrialbegin = [ &lt;br/&gt;&amp;nbsp; trial.P2targets.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2targets.insertstimulustime(list.targets2.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if (trial.P2targets.responsetext == "l")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no] &lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("s") // yes = s-key&lt;br/&gt;/timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial P2probes&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2probes.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2probes.insertstimulustime(list.probes2.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if (trial.P2probes.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no; 800 = tooslow]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") &lt;br/&gt;/timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;TRIAL SOUNDS PRACTICE 2 (time-out, wrong FB)&lt;br/&gt;&amp;lt;trial P2irrelevants_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2irrelevants_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2irrelevants_sounds.insertstimulustime(list.irrelevants_sounds2.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.P2irrelevants_sounds.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;/timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial P2targets_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2targets_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2targets_sounds.insertstimulustime(list.targets_sounds2.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.P2targets_sounds.responsetext == "l")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("s") // no = l-key&lt;br/&gt;/timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial P2probes_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2probes_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2probes_sounds.insertstimulustime(list.probes_sounds2.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.P2probes_sounds.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;/timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35729"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Plus, it also seems that Inquisit does find&amp;nbsp;the &amp;lt;trial P2irrelevants&amp;gt; at block practice2_2 but not anymore in block practice2_3, or do I see that wrong? Otherwise I would also have had the comment 'could not locate the element P2irrelevants at block practice 2_2", right? &lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35730"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Just &lt;strong&gt;attach &lt;/strong&gt;the full script, please. It's not possible to answer your questions based on piecemeal excerpts that don't give the full picture. (To attach files, use +Insert -&amp;gt; Add File...&lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35731"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Thank you for looking into it, here's the script:&lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35732"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;&lt;img 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" alt=""&gt;&lt;br/&gt;&lt;br/&gt;You've a mistake in that block, the trial name is broken up (see above), so the script looks for a nonexistent &amp;lt;trial P2irr&amp;gt;, which is what the error message actually says:&lt;br/&gt;&lt;br/&gt;&lt;img src="data:image/png;base64,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" alt=""&gt;</description><pubDate>Wed, 01 Nov 2023 13:33:56 GMT</pubDate><dc:creator>Dave</dc:creator></item><item><title>RE: different trials, made with stimuli from same list</title><link>https://forums.millisecond.com/Topic35732.aspx</link><description>&lt;blockquote data-id="35731" class="if-quote-wrapper" unselectable="on" data-guid="1698845076567" contenteditable="false" id="if_insertedNode_1698845075514"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35731" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35731" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35731" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Dave - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35731"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="35730" class="if-quote-wrapper" unselectable="on" data-guid="1698845076567" contenteditable="false" id="if_insertedNode_1698844854222"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35730" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35730" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35730" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Amelinq - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35730"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="35729" class="if-quote-wrapper" unselectable="on" data-guid="1698845076567" contenteditable="false" id="if_insertedNode_1698844359131"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35729" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35729" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35729" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Amelinq - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35729"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="35728" class="if-quote-wrapper" unselectable="on" data-guid="1698845076567" contenteditable="false" id="if_insertedNode_1698844183126"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35728" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35728" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35728" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Dave - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35728"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;What the error message tells you is that no &amp;lt;trial P2irrelevants&amp;gt; element exists in the script, thus the blocks -- where you reference such a trial element -- cannot run. In other words, the thing you told them to run is not there.&lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35728"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Hi Dave,&lt;br/&gt;yes understand that, but trial.P2irrelevants is defined in the script (where TRIALS PRACTICE 2 is written above). I will put the part where I define the trials here:&lt;br/&gt;&lt;br/&gt;TRIALS PRACTICE 1&lt;br/&gt;_________________________________________________________________________________________________________________________________________&lt;br/&gt;&amp;lt;trial Pirrelevants&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Pirrelevants.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Pirrelevants.insertstimulustime(list.irrelevants.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if(trial.Pirrelevants.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;//timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial Ptargets&amp;gt;&lt;br/&gt;/ ontrialbegin = [ &lt;br/&gt;&amp;nbsp; trial.Ptargets.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Ptargets.insertstimulustime(list.targets.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if (trial.Ptargets.responsetext == "l")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no] &lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("s") // yes = s-key&lt;br/&gt;//timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial Pprobes&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Pprobes.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Pprobes.insertstimulustime(list.probes.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if (trial.Pprobes.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no; 800 = tooslow]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") &lt;br/&gt;//timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;TRIAL SOUNDS PRACTICE 1 &lt;br/&gt;&amp;lt;trial Pirrelevants_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Pirrelevants_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Pirrelevants_sounds.insertstimulustime(list.irrelevants_sounds.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.Pirrelevants_sounds.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;//timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial Ptargets_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Ptargets_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Ptargets_sounds.insertstimulustime(list.targets_sounds.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.Ptargets_sounds.responsetext == "l")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("s") // no = l-key&lt;br/&gt;//timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial Pprobes_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Pprobes_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Pprobes_sounds.insertstimulustime(list.probes_sounds.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.Pprobes_sounds.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;//timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;TRIALS PRACTICE 2 PHASE (time out, wrong FB)&lt;br/&gt;________________________________________________________________________________________________&lt;br/&gt;&amp;lt;trial P2irrelevants&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2irrelevants.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2irrelevants.insertstimulustime(list.irrelevants2.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if(trial.P2irrelevants.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;/timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial P2targets&amp;gt;&lt;br/&gt;/ ontrialbegin = [ &lt;br/&gt;&amp;nbsp; trial.P2targets.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2targets.insertstimulustime(list.targets2.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if (trial.P2targets.responsetext == "l")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no] &lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("s") // yes = s-key&lt;br/&gt;/timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial P2probes&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2probes.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2probes.insertstimulustime(list.probes2.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if (trial.P2probes.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no; 800 = tooslow]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") &lt;br/&gt;/timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;TRIAL SOUNDS PRACTICE 2 (time-out, wrong FB)&lt;br/&gt;&amp;lt;trial P2irrelevants_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2irrelevants_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2irrelevants_sounds.insertstimulustime(list.irrelevants_sounds2.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.P2irrelevants_sounds.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;/timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial P2targets_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2targets_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2targets_sounds.insertstimulustime(list.targets_sounds2.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.P2targets_sounds.responsetext == "l")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("s") // no = l-key&lt;br/&gt;/timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial P2probes_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2probes_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2probes_sounds.insertstimulustime(list.probes_sounds2.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.P2probes_sounds.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;/timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35729"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Plus, it also seems that Inquisit does find&amp;nbsp;the &amp;lt;trial P2irrelevants&amp;gt; at block practice2_2 but not anymore in block practice2_3, or do I see that wrong? Otherwise I would also have had the comment 'could not locate the element P2irrelevants at block practice 2_2", right? &lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35730"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Just &lt;strong&gt;attach &lt;/strong&gt;the full script, please. It's not possible to answer your questions based on piecemeal excerpts that don't give the full picture. (To attach files, use +Insert -&amp;gt; Add File...&lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35731"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Thank you for looking into it, here's the script:&lt;br/&gt;</description><pubDate>Wed, 01 Nov 2023 13:25:53 GMT</pubDate><dc:creator>Amelinq</dc:creator></item><item><title>RE: different trials, made with stimuli from same list</title><link>https://forums.millisecond.com/Topic35731.aspx</link><description>&lt;blockquote data-id="35730" class="if-quote-wrapper" unselectable="on" data-guid="1698844855370" contenteditable="false" id="if_insertedNode_1698844854222"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35730" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35730" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35730" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Amelinq - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35730"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="35729" class="if-quote-wrapper" unselectable="on" data-guid="1698844855370" contenteditable="false" id="if_insertedNode_1698844359131"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35729" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35729" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35729" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Amelinq - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35729"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="35728" class="if-quote-wrapper" unselectable="on" data-guid="1698844855370" contenteditable="false" id="if_insertedNode_1698844183126"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35728" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35728" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35728" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Dave - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35728"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;What the error message tells you is that no &amp;lt;trial P2irrelevants&amp;gt; element exists in the script, thus the blocks -- where you reference such a trial element -- cannot run. In other words, the thing you told them to run is not there.&lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35728"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Hi Dave,&lt;br/&gt;yes understand that, but trial.P2irrelevants is defined in the script (where TRIALS PRACTICE 2 is written above). I will put the part where I define the trials here:&lt;br/&gt;&lt;br/&gt;TRIALS PRACTICE 1&lt;br/&gt;_________________________________________________________________________________________________________________________________________&lt;br/&gt;&amp;lt;trial Pirrelevants&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Pirrelevants.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Pirrelevants.insertstimulustime(list.irrelevants.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if(trial.Pirrelevants.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;//timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial Ptargets&amp;gt;&lt;br/&gt;/ ontrialbegin = [ &lt;br/&gt;&amp;nbsp; trial.Ptargets.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Ptargets.insertstimulustime(list.targets.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if (trial.Ptargets.responsetext == "l")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no] &lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("s") // yes = s-key&lt;br/&gt;//timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial Pprobes&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Pprobes.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Pprobes.insertstimulustime(list.probes.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if (trial.Pprobes.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no; 800 = tooslow]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") &lt;br/&gt;//timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;TRIAL SOUNDS PRACTICE 1 &lt;br/&gt;&amp;lt;trial Pirrelevants_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Pirrelevants_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Pirrelevants_sounds.insertstimulustime(list.irrelevants_sounds.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.Pirrelevants_sounds.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;//timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial Ptargets_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Ptargets_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Ptargets_sounds.insertstimulustime(list.targets_sounds.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.Ptargets_sounds.responsetext == "l")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("s") // no = l-key&lt;br/&gt;//timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial Pprobes_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Pprobes_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Pprobes_sounds.insertstimulustime(list.probes_sounds.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.Pprobes_sounds.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;//timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;TRIALS PRACTICE 2 PHASE (time out, wrong FB)&lt;br/&gt;________________________________________________________________________________________________&lt;br/&gt;&amp;lt;trial P2irrelevants&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2irrelevants.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2irrelevants.insertstimulustime(list.irrelevants2.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if(trial.P2irrelevants.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;/timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial P2targets&amp;gt;&lt;br/&gt;/ ontrialbegin = [ &lt;br/&gt;&amp;nbsp; trial.P2targets.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2targets.insertstimulustime(list.targets2.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if (trial.P2targets.responsetext == "l")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no] &lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("s") // yes = s-key&lt;br/&gt;/timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial P2probes&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2probes.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2probes.insertstimulustime(list.probes2.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if (trial.P2probes.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no; 800 = tooslow]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") &lt;br/&gt;/timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;TRIAL SOUNDS PRACTICE 2 (time-out, wrong FB)&lt;br/&gt;&amp;lt;trial P2irrelevants_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2irrelevants_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2irrelevants_sounds.insertstimulustime(list.irrelevants_sounds2.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.P2irrelevants_sounds.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;/timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial P2targets_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2targets_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2targets_sounds.insertstimulustime(list.targets_sounds2.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.P2targets_sounds.responsetext == "l")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("s") // no = l-key&lt;br/&gt;/timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial P2probes_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2probes_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2probes_sounds.insertstimulustime(list.probes_sounds2.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.P2probes_sounds.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;/timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35729"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Plus, it also seems that Inquisit does find&amp;nbsp;the &amp;lt;trial P2irrelevants&amp;gt; at block practice2_2 but not anymore in block practice2_3, or do I see that wrong? Otherwise I would also have had the comment 'could not locate the element P2irrelevants at block practice 2_2", right? &lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35730"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Just &lt;strong&gt;attach &lt;/strong&gt;the full script, please. It's not possible to answer your questions based on piecemeal excerpts that don't give the full picture. (To attach files, use +Insert -&amp;gt; Add File...&lt;br/&gt;</description><pubDate>Wed, 01 Nov 2023 13:22:06 GMT</pubDate><dc:creator>Dave</dc:creator></item><item><title>RE: different trials, made with stimuli from same list</title><link>https://forums.millisecond.com/Topic35730.aspx</link><description>&lt;blockquote data-id="35729" class="if-quote-wrapper" unselectable="on" data-guid="1698844360964" contenteditable="false" id="if_insertedNode_1698844359131"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35729" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35729" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35729" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Amelinq - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35729"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;&lt;blockquote data-id="35728" class="if-quote-wrapper" unselectable="on" data-guid="1698844360964" contenteditable="false" id="if_insertedNode_1698844183126"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35728" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35728" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35728" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Dave - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35728"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;What the error message tells you is that no &amp;lt;trial P2irrelevants&amp;gt; element exists in the script, thus the blocks -- where you reference such a trial element -- cannot run. In other words, the thing you told them to run is not there.&lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35728"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Hi Dave,&lt;br/&gt;yes understand that, but trial.P2irrelevants is defined in the script (where TRIALS PRACTICE 2 is written above). I will put the part where I define the trials here:&lt;br/&gt;&lt;br/&gt;TRIALS PRACTICE 1&lt;br/&gt;_________________________________________________________________________________________________________________________________________&lt;br/&gt;&amp;lt;trial Pirrelevants&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Pirrelevants.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Pirrelevants.insertstimulustime(list.irrelevants.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if(trial.Pirrelevants.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;//timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial Ptargets&amp;gt;&lt;br/&gt;/ ontrialbegin = [ &lt;br/&gt;&amp;nbsp; trial.Ptargets.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Ptargets.insertstimulustime(list.targets.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if (trial.Ptargets.responsetext == "l")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no] &lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("s") // yes = s-key&lt;br/&gt;//timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial Pprobes&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Pprobes.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Pprobes.insertstimulustime(list.probes.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if (trial.Pprobes.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no; 800 = tooslow]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") &lt;br/&gt;//timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;TRIAL SOUNDS PRACTICE 1 &lt;br/&gt;&amp;lt;trial Pirrelevants_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Pirrelevants_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Pirrelevants_sounds.insertstimulustime(list.irrelevants_sounds.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.Pirrelevants_sounds.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;//timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial Ptargets_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Ptargets_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Ptargets_sounds.insertstimulustime(list.targets_sounds.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.Ptargets_sounds.responsetext == "l")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("s") // no = l-key&lt;br/&gt;//timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial Pprobes_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Pprobes_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Pprobes_sounds.insertstimulustime(list.probes_sounds.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.Pprobes_sounds.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;//timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;TRIALS PRACTICE 2 PHASE (time out, wrong FB)&lt;br/&gt;________________________________________________________________________________________________&lt;br/&gt;&amp;lt;trial P2irrelevants&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2irrelevants.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2irrelevants.insertstimulustime(list.irrelevants2.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if(trial.P2irrelevants.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;/timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial P2targets&amp;gt;&lt;br/&gt;/ ontrialbegin = [ &lt;br/&gt;&amp;nbsp; trial.P2targets.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2targets.insertstimulustime(list.targets2.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if (trial.P2targets.responsetext == "l")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no] &lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("s") // yes = s-key&lt;br/&gt;/timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial P2probes&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2probes.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2probes.insertstimulustime(list.probes2.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if (trial.P2probes.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no; 800 = tooslow]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") &lt;br/&gt;/timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;TRIAL SOUNDS PRACTICE 2 (time-out, wrong FB)&lt;br/&gt;&amp;lt;trial P2irrelevants_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2irrelevants_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2irrelevants_sounds.insertstimulustime(list.irrelevants_sounds2.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.P2irrelevants_sounds.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;/timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial P2targets_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2targets_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2targets_sounds.insertstimulustime(list.targets_sounds2.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.P2targets_sounds.responsetext == "l")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("s") // no = l-key&lt;br/&gt;/timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial P2probes_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2probes_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2probes_sounds.insertstimulustime(list.probes_sounds2.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.P2probes_sounds.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;/timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35729"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Plus, it also seems that Inquisit does find&amp;nbsp;the &amp;lt;trial P2irrelevants&amp;gt; at block practice2_2 but not anymore in block practice2_3, or do I see that wrong? Otherwise I would also have had the comment 'could not locate the element P2irrelevants at block practice 2_2", right? &lt;br/&gt;</description><pubDate>Wed, 01 Nov 2023 13:15:52 GMT</pubDate><dc:creator>Amelinq</dc:creator></item><item><title>RE: different trials, made with stimuli from same list</title><link>https://forums.millisecond.com/Topic35729.aspx</link><description>&lt;blockquote data-id="35728" class="if-quote-wrapper" unselectable="on" data-guid="1698844183896" contenteditable="false" id="if_insertedNode_1698844183126"&gt;&lt;a class="quote-para" unselectable="on" style="display: none;" href="#" data-id="35728" title="Move Cursor Below" contenteditable="false"&gt;&lt;span unselectable="on"&gt;+&lt;/span&gt;&lt;/a&gt;&lt;a class="quote-delete" unselectable="on" style="display: none;" href="#" data-id="35728" title="Delete Quote" contenteditable="false"&gt;&lt;span unselectable="on"&gt;x&lt;/span&gt;&lt;/a&gt;&lt;span unselectable="on" class="quote-markup"&gt;[quote]&lt;/span&gt;&lt;div unselectable="on" class="if-quote-header" contenteditable="false"&gt;&lt;div unselectable="on" class="if-quote-toggle-wrapper"&gt;&lt;a class="if-quote-toggle quote-link" href="#" data-id="35728" title=" "&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[b]&lt;/span&gt;Dave - 11/1/2023&lt;span unselectable="on" class="quote-markup"&gt;[/b]&lt;/span&gt;&lt;/div&gt;&lt;div class="if-quote-message if-quote-message-35728"&gt;&lt;div class="if-quote-message-margin" contenteditable="true"&gt;What the error message tells you is that no &amp;lt;trial P2irrelevants&amp;gt; element exists in the script, thus the blocks -- where you reference such a trial element -- cannot run. In other words, the thing you told them to run is not there.&lt;br/&gt;&lt;a class="if-quote-goto quote-link" href="#" data-id="35728"&gt;&lt;span class="goto"&gt;&lt;/span&gt;&lt;/a&gt;&lt;/div&gt;&lt;/div&gt;&lt;span unselectable="on" class="quote-markup"&gt;[/quote]&lt;/span&gt;&lt;/blockquote&gt;&lt;br/&gt;Hi Dave,&lt;br/&gt;yes understand that, but trial.P2irrelevants is defined in the script (where TRIALS PRACTICE 2 is written above). I will put the part where I define the trials here:&lt;br/&gt;&lt;br/&gt;TRIALS PRACTICE 1&lt;br/&gt;_________________________________________________________________________________________________________________________________________&lt;br/&gt;&amp;lt;trial Pirrelevants&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Pirrelevants.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Pirrelevants.insertstimulustime(list.irrelevants.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if(trial.Pirrelevants.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;//timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial Ptargets&amp;gt;&lt;br/&gt;/ ontrialbegin = [ &lt;br/&gt;&amp;nbsp; trial.Ptargets.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Ptargets.insertstimulustime(list.targets.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if (trial.Ptargets.responsetext == "l")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no] &lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("s") // yes = s-key&lt;br/&gt;//timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial Pprobes&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Pprobes.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Pprobes.insertstimulustime(list.probes.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if (trial.Pprobes.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no; 800 = tooslow]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") &lt;br/&gt;//timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;TRIAL SOUNDS PRACTICE 1 &lt;br/&gt;&amp;lt;trial Pirrelevants_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Pirrelevants_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Pirrelevants_sounds.insertstimulustime(list.irrelevants_sounds.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.Pirrelevants_sounds.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;//timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial Ptargets_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Ptargets_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Ptargets_sounds.insertstimulustime(list.targets_sounds.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.Ptargets_sounds.responsetext == "l")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("s") // no = l-key&lt;br/&gt;//timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial Pprobes_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.Pprobes_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.Pprobes_sounds.insertstimulustime(list.probes_sounds.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.Pprobes_sounds.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;//timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;TRIALS PRACTICE 2 PHASE (time out, wrong FB)&lt;br/&gt;________________________________________________________________________________________________&lt;br/&gt;&amp;lt;trial P2irrelevants&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2irrelevants.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2irrelevants.insertstimulustime(list.irrelevants2.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if(trial.P2irrelevants.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;/timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial P2targets&amp;gt;&lt;br/&gt;/ ontrialbegin = [ &lt;br/&gt;&amp;nbsp; trial.P2targets.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2targets.insertstimulustime(list.targets2.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if (trial.P2targets.responsetext == "l")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no] &lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("s") // yes = s-key&lt;br/&gt;/timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial P2probes&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2probes.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2probes.insertstimulustime(list.probes2.nextvalue, 200);]&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;br/&gt;/branch= [if (trial.P2probes.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no; 800 = tooslow]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") &lt;br/&gt;/timeout = 1500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;TRIAL SOUNDS PRACTICE 2 (time-out, wrong FB)&lt;br/&gt;&amp;lt;trial P2irrelevants_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2irrelevants_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2irrelevants_sounds.insertstimulustime(list.irrelevants_sounds2.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.P2irrelevants_sounds.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;/timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial P2targets_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2targets_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2targets_sounds.insertstimulustime(list.targets_sounds2.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.P2targets_sounds.responsetext == "l")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("s") // no = l-key&lt;br/&gt;/timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;&lt;br/&gt;&amp;lt;trial P2probes_sounds&amp;gt;&lt;br/&gt;/ ontrialbegin = [&lt;br/&gt;&amp;nbsp; trial.P2probes_sounds.resetstimulusframes();&lt;br/&gt;&amp;nbsp; trial.P2probes_sounds.insertstimulustime(list.probes_sounds2.nextvalue, 200);]&lt;br/&gt;/branch= [if(trial.P2probes_sounds.responsetext == "s")trial.wrong]&lt;br/&gt;/stimulustimes = [0 = yes, no, soundicon]&lt;br/&gt;/validresponse = ("s","l")&lt;br/&gt;/correctresponse = ("l") // no = l-key&lt;br/&gt;/timeout = 2500&lt;br/&gt;/beginresponsetime = 0&lt;br/&gt;&amp;lt;/trial&amp;gt;&lt;br/&gt;</description><pubDate>Wed, 01 Nov 2023 13:12:08 GMT</pubDate><dc:creator>Amelinq</dc:creator></item><item><title>RE: different trials, made with stimuli from same list</title><link>https://forums.millisecond.com/Topic35728.aspx</link><description>What the error message tells you is that no &amp;lt;trial P2irrelevants&amp;gt; element exists in the script, thus the blocks -- where you reference such a trial element -- cannot run. In other words, the thing you told them to run is not there.&lt;br/&gt;</description><pubDate>Wed, 01 Nov 2023 11:41:03 GMT</pubDate><dc:creator>Dave</dc:creator></item></channel></rss>