<rss xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" version="2.0">
  <channel>
    <title>MaplePrimes - Maple Posts and Questions</title>
    <link>http://www.mapleprimes.com/tags/Maple</link>
    <language>en-us</language>
    <copyright>2026 Maplesoft, A Division of Waterloo Maple Inc.</copyright>
    <generator>Maplesoft Document System</generator>
    <lastBuildDate>Wed, 13 May 2026 18:33:08 GMT</lastBuildDate>
    <pubDate>Wed, 13 May 2026 18:33:08 GMT</pubDate>
    <itunes:subtitle />
    <itunes:summary />
    <description>Maple Questions and Posts on MaplePrimes</description>
    <image>
      <url>http://www.mapleprimes.com/images/mapleprimeswhite.jpg</url>
      <title>MaplePrimes - Maple Posts and Questions</title>
      <link>http://www.mapleprimes.com/tags/Maple</link>
    </image>
    <item>
      <title>Why calling object method in debugger fail?</title>
      <link>http://www.mapleprimes.com/questions/243592-Why-Calling-Object-Method-In-Debugger-Fail?ref=Feed:MaplePrimes:Tagged With Maple</link>
      <itunes:summary>&lt;p&gt;Is there a workaround to being able to call object method inside the debugger? I use Objects everywhere and hard to debug things when not able to try calls inside the debugger.&lt;/p&gt;

&lt;p&gt;Here is an example.&lt;/p&gt;

&lt;p&gt;&lt;img src="data:image/png;base64,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"&gt;&lt;/p&gt;

&lt;p&gt;This worksheet below has the code to reproduce this. Ofcourse the code works when I run it in the debugger using &amp;quot;continue&amp;quot; button, or using the &amp;quot;next&amp;quot; or &amp;quot;step&amp;quot;. But I need sometimes to check something before doing this.&lt;/p&gt;

&lt;form name="worksheet_form"&gt;&lt;input name="md.ref" type="hidden" value="59C99D579E6D745F935D818897E58D20"&gt;
&lt;table align="center" width="768"&gt;
	&lt;tbody&gt;
		&lt;tr&gt;
			&lt;td&gt;
			&lt;table style="margin-left:0px;margin-right:0px"&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:3px; padding-bottom:3px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;interface(version);&lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="`Standard Worksheet Interface, Maple 2026.1, Windows 10, April 28 2026 Build ID 2011354`" height="23" src="/view.aspx?sf=243592_question/0ea64d2e284e59485cc76ca772f56abe.gif" style="vertical-align:-6px" width="560"&gt;&lt;/p&gt;

			&lt;table style="margin-left:0px;margin-right:0px"&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:3px; padding-bottom:3px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;restart;&lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table style="margin-left:0px;margin-right:0px"&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:3px; padding-bottom:3px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;kernelopts(&amp;#39;assertlevel&amp;#39;=2):&lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table style="margin-left:0px;margin-right:0px"&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:3px; padding-bottom:3px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;module person_type()&lt;/span&gt;&lt;br&gt;
						&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;option object; &lt;/span&gt;&lt;br&gt;
						&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;local _name::string:=&amp;quot;&amp;quot;; &amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;/span&gt;&lt;br&gt;
						&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;export ModuleCopy::static := proc( _self::person_type, proto::person_type, name::string)&lt;/span&gt;&lt;br&gt;
						&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;_name:=name;&lt;/span&gt;&lt;br&gt;
						&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;NULL;&lt;/span&gt;&lt;br&gt;
						&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;end proc;&lt;/span&gt;&lt;br&gt;
						&lt;br&gt;
						&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;export get_name::static:=proc(_self)&lt;/span&gt;&lt;br&gt;
						&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;_self:-_name;&lt;/span&gt;&lt;br&gt;
						&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;end proc;&lt;/span&gt;&lt;br&gt;
						&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;end module;&lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="module person_type () local _name::string; option object; end module" height="24" src="/view.aspx?sf=243592_question/828c628e397f1a2402cc06dd58861d05.gif" style="vertical-align:-7px" width="453"&gt;&lt;/p&gt;

			&lt;table style="margin-left:0px;margin-right:0px"&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:3px; padding-bottom:3px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;foo:=proc(o::person_type)::string;&lt;/span&gt;&lt;br&gt;
						&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;nbsp;&amp;nbsp;local name;&lt;/span&gt;&lt;br&gt;
						&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;nbsp;&amp;nbsp;DEBUG();&lt;/span&gt;&lt;br&gt;
						&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;nbsp;&amp;nbsp;name:=o:-get_name();&lt;/span&gt;&lt;br&gt;
						&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;nbsp;&amp;nbsp;name;&lt;/span&gt;&lt;br&gt;
						&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;end proc;&lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="proc (o::person_type)::string; local name; DEBUG(); name := o:-get_name(); name end proc" height="24" src="/view.aspx?sf=243592_question/9d5356526990b4133dba163e75cd1749.gif" style="vertical-align:-7px" width="642"&gt;&lt;/p&gt;

			&lt;table style="margin-left:0px;margin-right:0px"&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:3px; padding-bottom:3px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;o:=Object(person_type,&amp;quot;me&amp;quot;);&lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="module person_type () local _name::string; option object; end module" height="23" src="/view.aspx?sf=243592_question/dc17e27c0143fe0c265d5fd65d8353d6.gif" style="vertical-align:-6px" width="308"&gt;&lt;/p&gt;

			&lt;table style="margin-left:0px;margin-right:0px"&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:3px; padding-bottom:3px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;o:-get_name();&lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="&amp;quot;me&amp;quot;" height="23" src="/view.aspx?sf=243592_question/c8d2402c07edfb954793aa64acd95c8f.gif" style="vertical-align:-6px" width="36"&gt;&lt;/p&gt;

			&lt;table style="margin-left:0px;margin-right:0px"&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:3px; padding-bottom:3px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;#run this. Debugger will now open&lt;/span&gt;&lt;br&gt;
						&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;foo(o);&lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table style="margin-left:0px;margin-right:0px"&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:3px; padding-bottom:3px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;
			&lt;/td&gt;
		&lt;/tr&gt;
	&lt;/tbody&gt;
&lt;/table&gt;
&lt;input name="sequence" type="hidden" value="1"&gt; &lt;input name="cmd" type="hidden" value="none"&gt;&lt;/form&gt;

&lt;p&gt;&lt;a href="/view.aspx?sf=243592_question/why_calling_object_fail_in_debugger.mw"&gt;Download why_calling_object_fail_in_debugger.mw&lt;/a&gt;&lt;/p&gt;
</itunes:summary>
      <description>&lt;p&gt;Is there a workaround to being able to call object method inside the debugger? I use Objects everywhere and hard to debug things when not able to try calls inside the debugger.&lt;/p&gt;

&lt;p&gt;Here is an example.&lt;/p&gt;

&lt;p&gt;&lt;img src="data:image/png;base64,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"&gt;&lt;/p&gt;

&lt;p&gt;This worksheet below has the code to reproduce this. Ofcourse the code works when I run it in the debugger using &amp;quot;continue&amp;quot; button, or using the &amp;quot;next&amp;quot; or &amp;quot;step&amp;quot;. But I need sometimes to check something before doing this.&lt;/p&gt;

&lt;form name="worksheet_form"&gt;&lt;input name="md.ref" type="hidden" value="59C99D579E6D745F935D818897E58D20"&gt;
&lt;table align="center" width="768"&gt;
	&lt;tbody&gt;
		&lt;tr&gt;
			&lt;td&gt;
			&lt;table style="margin-left:0px;margin-right:0px"&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:3px; padding-bottom:3px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;interface(version);&lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="`Standard Worksheet Interface, Maple 2026.1, Windows 10, April 28 2026 Build ID 2011354`" height="23" src="/view.aspx?sf=243592_question/0ea64d2e284e59485cc76ca772f56abe.gif" style="vertical-align:-6px" width="560"&gt;&lt;/p&gt;

			&lt;table style="margin-left:0px;margin-right:0px"&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:3px; padding-bottom:3px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;restart;&lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table style="margin-left:0px;margin-right:0px"&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:3px; padding-bottom:3px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;kernelopts(&amp;#39;assertlevel&amp;#39;=2):&lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table style="margin-left:0px;margin-right:0px"&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:3px; padding-bottom:3px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;module person_type()&lt;/span&gt;&lt;br&gt;
						&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;option object; &lt;/span&gt;&lt;br&gt;
						&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;local _name::string:=&amp;quot;&amp;quot;; &amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;/span&gt;&lt;br&gt;
						&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;export ModuleCopy::static := proc( _self::person_type, proto::person_type, name::string)&lt;/span&gt;&lt;br&gt;
						&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;_name:=name;&lt;/span&gt;&lt;br&gt;
						&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;NULL;&lt;/span&gt;&lt;br&gt;
						&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;end proc;&lt;/span&gt;&lt;br&gt;
						&lt;br&gt;
						&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;export get_name::static:=proc(_self)&lt;/span&gt;&lt;br&gt;
						&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;_self:-_name;&lt;/span&gt;&lt;br&gt;
						&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;end proc;&lt;/span&gt;&lt;br&gt;
						&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;end module;&lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="module person_type () local _name::string; option object; end module" height="24" src="/view.aspx?sf=243592_question/828c628e397f1a2402cc06dd58861d05.gif" style="vertical-align:-7px" width="453"&gt;&lt;/p&gt;

			&lt;table style="margin-left:0px;margin-right:0px"&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:3px; padding-bottom:3px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;foo:=proc(o::person_type)::string;&lt;/span&gt;&lt;br&gt;
						&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;nbsp;&amp;nbsp;local name;&lt;/span&gt;&lt;br&gt;
						&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;nbsp;&amp;nbsp;DEBUG();&lt;/span&gt;&lt;br&gt;
						&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;nbsp;&amp;nbsp;name:=o:-get_name();&lt;/span&gt;&lt;br&gt;
						&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;nbsp;&amp;nbsp;name;&lt;/span&gt;&lt;br&gt;
						&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;end proc;&lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="proc (o::person_type)::string; local name; DEBUG(); name := o:-get_name(); name end proc" height="24" src="/view.aspx?sf=243592_question/9d5356526990b4133dba163e75cd1749.gif" style="vertical-align:-7px" width="642"&gt;&lt;/p&gt;

			&lt;table style="margin-left:0px;margin-right:0px"&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:3px; padding-bottom:3px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;o:=Object(person_type,&amp;quot;me&amp;quot;);&lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="module person_type () local _name::string; option object; end module" height="23" src="/view.aspx?sf=243592_question/dc17e27c0143fe0c265d5fd65d8353d6.gif" style="vertical-align:-6px" width="308"&gt;&lt;/p&gt;

			&lt;table style="margin-left:0px;margin-right:0px"&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:3px; padding-bottom:3px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;o:-get_name();&lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="&amp;quot;me&amp;quot;" height="23" src="/view.aspx?sf=243592_question/c8d2402c07edfb954793aa64acd95c8f.gif" style="vertical-align:-6px" width="36"&gt;&lt;/p&gt;

			&lt;table style="margin-left:0px;margin-right:0px"&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:3px; padding-bottom:3px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;#run this. Debugger will now open&lt;/span&gt;&lt;br&gt;
						&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;foo(o);&lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;table style="margin-left:0px;margin-right:0px"&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;nbsp;&lt;/span&gt;&lt;/td&gt;
						&lt;td&gt;
						&lt;p align="left" style="margin:0 0 0 0; padding-top:3px; padding-bottom:3px"&gt;&lt;span style="color:#78000e;font-size: 100%;font-family: monospace,monospace;font-weight:bold;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;
						&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;
			&lt;/td&gt;
		&lt;/tr&gt;
	&lt;/tbody&gt;
&lt;/table&gt;
&lt;input name="sequence" type="hidden" value="1"&gt; &lt;input name="cmd" type="hidden" value="none"&gt;&lt;/form&gt;

&lt;p&gt;&lt;a href="/view.aspx?sf=243592_question/why_calling_object_fail_in_debugger.mw"&gt;Download why_calling_object_fail_in_debugger.mw&lt;/a&gt;&lt;/p&gt;
</description>
      <guid>243592</guid>
      <pubDate>Wed, 13 May 2026 17:47:51 Z</pubDate>
      <itunes:author>nm</itunes:author>
      <author>nm</author>
    </item>
    <item>
      <title>plotting an 1-D array</title>
      <link>http://www.mapleprimes.com/questions/243588-Plotting-An-1D-Array?ref=Feed:MaplePrimes:Tagged With Maple</link>
      <itunes:summary>&lt;p&gt;Please see the attached worksheet:&lt;/p&gt;

&lt;p&gt;Question 1:&amp;nbsp; How to plot a partial portion of an array s2 using &amp;quot;dataplot,&amp;quot; say the first 50 elements.&lt;/p&gt;

&lt;p&gt;Question 2:&amp;nbsp; I have also tried to use &amp;quot;plot&amp;quot; to plot the first 50 elements s2 and keep on getting errors or strange looking plot with horizontal lines.&amp;nbsp; I have tried plot(s2,1..50), plot(s2,x=1..50), plot(s2,m=1..50), plot(s2[m],m=1..50), plot(s2[1..50],1..50], plot(1..50,s2[1..50]).&lt;/p&gt;

&lt;p&gt;&lt;a href="/view.aspx?sf=243588_question/plot_exercise_a.mw"&gt;plot_exercise_a.mw&lt;/a&gt;&lt;/p&gt;
</itunes:summary>
      <description>&lt;p&gt;Please see the attached worksheet:&lt;/p&gt;

&lt;p&gt;Question 1:&amp;nbsp; How to plot a partial portion of an array s2 using &amp;quot;dataplot,&amp;quot; say the first 50 elements.&lt;/p&gt;

&lt;p&gt;Question 2:&amp;nbsp; I have also tried to use &amp;quot;plot&amp;quot; to plot the first 50 elements s2 and keep on getting errors or strange looking plot with horizontal lines.&amp;nbsp; I have tried plot(s2,1..50), plot(s2,x=1..50), plot(s2,m=1..50), plot(s2[m],m=1..50), plot(s2[1..50],1..50], plot(1..50,s2[1..50]).&lt;/p&gt;

&lt;p&gt;&lt;a href="/view.aspx?sf=243588_question/plot_exercise_a.mw"&gt;plot_exercise_a.mw&lt;/a&gt;&lt;/p&gt;
</description>
      <guid>243588</guid>
      <pubDate>Mon, 11 May 2026 20:14:59 Z</pubDate>
      <itunes:author>wingho</itunes:author>
      <author>wingho</author>
    </item>
    <item>
      <title>How apply special transformation  ?</title>
      <link>http://www.mapleprimes.com/questions/243586-How-Apply-Special-Transformation--?ref=Feed:MaplePrimes:Tagged With Maple</link>
      <itunes:summary>&lt;p&gt;How i can apply this transfromation which is special and i can&amp;#39;t undrestand how from that solution he did thus changes&amp;nbsp; and get the solution of ode&amp;nbsp; ,&amp;nbsp; i reached untill eq(3.5) but after that i can&amp;#39;t&amp;nbsp; figure out what he did&amp;nbsp; &amp;nbsp;and how we get eq(3.7)-(3.9) (3.12),(3.13) and how we can&amp;nbsp; &amp;nbsp;tranform solution&amp;nbsp; for the&amp;nbsp; eq(3.5)&lt;/p&gt;

&lt;p&gt;&lt;img src="/view.aspx?sf=243586_question/e1.jpg"&gt;&lt;/p&gt;

&lt;p&gt;&lt;img src="/view.aspx?sf=243586_question/e2.jpg"&gt;&lt;/p&gt;

&lt;p&gt;&lt;img src="/view.aspx?sf=243586_question/e3.jpg"&gt;&lt;/p&gt;

&lt;p&gt;&lt;img src="/view.aspx?sf=243586_question/e4.jpg"&gt;&lt;/p&gt;

&lt;p&gt;&lt;a href="/view.aspx?sf=243586_question/fp.mw"&gt;fp.mw&lt;/a&gt;&lt;/p&gt;
</itunes:summary>
      <description>&lt;p&gt;How i can apply this transfromation which is special and i can&amp;#39;t undrestand how from that solution he did thus changes&amp;nbsp; and get the solution of ode&amp;nbsp; ,&amp;nbsp; i reached untill eq(3.5) but after that i can&amp;#39;t&amp;nbsp; figure out what he did&amp;nbsp; &amp;nbsp;and how we get eq(3.7)-(3.9) (3.12),(3.13) and how we can&amp;nbsp; &amp;nbsp;tranform solution&amp;nbsp; for the&amp;nbsp; eq(3.5)&lt;/p&gt;

&lt;p&gt;&lt;img src="/view.aspx?sf=243586_question/e1.jpg"&gt;&lt;/p&gt;

&lt;p&gt;&lt;img src="/view.aspx?sf=243586_question/e2.jpg"&gt;&lt;/p&gt;

&lt;p&gt;&lt;img src="/view.aspx?sf=243586_question/e3.jpg"&gt;&lt;/p&gt;

&lt;p&gt;&lt;img src="/view.aspx?sf=243586_question/e4.jpg"&gt;&lt;/p&gt;

&lt;p&gt;&lt;a href="/view.aspx?sf=243586_question/fp.mw"&gt;fp.mw&lt;/a&gt;&lt;/p&gt;
</description>
      <guid>243586</guid>
      <pubDate>Mon, 11 May 2026 08:09:36 Z</pubDate>
      <itunes:author>salim-barzani</itunes:author>
      <author>salim-barzani</author>
    </item>
    <item>
      <title>Cube (Hexahedron) and octahedron</title>
      <link>http://www.mapleprimes.com/questions/243584-Cube-Hexahedron-And-Octahedron?ref=Feed:MaplePrimes:Tagged With Maple</link>
      <itunes:summary>&lt;p&gt;To get better acquainted with &amp;quot;plot3d,&amp;quot; I browsed through the help documentation. I was surprised to discover not only &amp;quot;Polyhedraplot,&amp;quot; but&amp;mdash;via &amp;quot;Polyhedra Sets&amp;quot; and &amp;quot;DualSet&amp;quot;&amp;mdash;the very tools needed to tackle a classic subject: The duality of Platonic solids.&lt;br&gt;
This reminded me of the following puzzle:&lt;br&gt;
Consider the unit cube (edge ​​length = 1) and, situated within it, its dual polyhedron (the octahedron). As is well known, the dual polyhedron of the octahedron is, in turn, a cube. Now, let us continue this dual construction indefinitely, starting from the unit cube (cube containing octahedron containing cube containing octahedron...). This generates a sequence of nested polyhedra&amp;mdash;alternating between cubes and octahedra.&lt;br&gt;
1.) For each of the infinite subsequences&amp;mdash;that of the cubes and that of the octahedra&amp;mdash;calculate the sum of all volumes and surface areas.&lt;br&gt;
2.) What is the maximum volume an octahedron (regardless of its orientation) can have while being completely contained within the unit cube?&lt;/p&gt;
</itunes:summary>
      <description>&lt;p&gt;To get better acquainted with &amp;quot;plot3d,&amp;quot; I browsed through the help documentation. I was surprised to discover not only &amp;quot;Polyhedraplot,&amp;quot; but&amp;mdash;via &amp;quot;Polyhedra Sets&amp;quot; and &amp;quot;DualSet&amp;quot;&amp;mdash;the very tools needed to tackle a classic subject: The duality of Platonic solids.&lt;br /&gt;
This reminded me of the following puzzle:&lt;br /&gt;
Consider the unit cube (edge ​​length = 1) and, situated within it, its dual polyhedron (the octahedron). As is well known, the dual polyhedron of the octahedron is, in turn, a cube. Now, let us continue this dual construction indefinitely, starting from the unit cube (cube containing octahedron containing cube containing octahedron...). This generates a sequence of nested polyhedra&amp;mdash;alternating between cubes and octahedra.&lt;br /&gt;
1.) For each of the infinite subsequences&amp;mdash;that of the cubes and that of the octahedra&amp;mdash;calculate the sum of all volumes and surface areas.&lt;br /&gt;
2.) What is the maximum volume an octahedron (regardless of its orientation) can have while being completely contained within the unit cube?&lt;/p&gt;
</description>
      <guid>243584</guid>
      <pubDate>Fri, 08 May 2026 12:25:33 Z</pubDate>
      <itunes:author>Alfred_F</itunes:author>
      <author>Alfred_F</author>
    </item>
    <item>
      <title>New book using Maple, published by SIAM</title>
      <link>http://www.mapleprimes.com/posts/234770-New-Book-Using-Maple-Published-By-SIAM?ref=Feed:MaplePrimes:Tagged With Maple</link>
      <itunes:summary>&lt;p&gt;I am very pleased to announce the publication of my new book written together with Nic Fillion, &amp;quot;Perturbation Methods Using Backward Error&amp;quot;, which uses Maple heavily throughout.&lt;/p&gt;

&lt;p&gt;You can find it at&lt;/p&gt;

&lt;p&gt;&lt;a href="https://epubs.siam.org/doi/10.1137/1.9781611978865"&gt;the SIAM bookstore&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;and I hope that you find it useful and interesting.&lt;/p&gt;

&lt;p&gt;You can also find a paper in Maple Transactions, written with Michelle Hatzel, that explains how we generated the image that was chosen for the cover.&amp;nbsp;&amp;nbsp;&lt;a href="https://mapletransactions.org/index.php/maple/article/view/22213"&gt;Exploring Cover Designs for an Upcoming Book&lt;/a&gt;&amp;nbsp; In the end, the SIAM design people chose a different one than we had thought, but they did pick one of the ones we generated!&amp;nbsp;&amp;nbsp;&lt;/p&gt;

&lt;p&gt;This was fun to do.&lt;/p&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&lt;img alt="a rainbow-hued image with many levels; two dark blue spots connected by a horizontal and a vertical blue line from each that intersect; alarming red spots in the upper and lower left corner" src="https://mapletransactions.org/public/journals/167/article_22213_cover_en_US.png"&gt;&lt;br&gt;
&amp;nbsp;&lt;/p&gt;
</itunes:summary>
      <description>&lt;p&gt;I am very pleased to announce the publication of my new book written together with Nic Fillion, &amp;quot;Perturbation Methods Using Backward Error&amp;quot;, which uses Maple heavily throughout.&lt;/p&gt;

&lt;p&gt;You can find it at&lt;/p&gt;

&lt;p&gt;&lt;a href="https://epubs.siam.org/doi/10.1137/1.9781611978865"&gt;the SIAM bookstore&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;and I hope that you find it useful and interesting.&lt;/p&gt;

&lt;p&gt;You can also find a paper in Maple Transactions, written with Michelle Hatzel, that explains how we generated the image that was chosen for the cover.&amp;nbsp;&amp;nbsp;&lt;a href="https://mapletransactions.org/index.php/maple/article/view/22213"&gt;Exploring Cover Designs for an Upcoming Book&lt;/a&gt;&amp;nbsp; In the end, the SIAM design people chose a different one than we had thought, but they did pick one of the ones we generated!&amp;nbsp;&amp;nbsp;&lt;/p&gt;

&lt;p&gt;This was fun to do.&lt;/p&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&lt;img alt="a rainbow-hued image with many levels; two dark blue spots connected by a horizontal and a vertical blue line from each that intersect; alarming red spots in the upper and lower left corner" src="https://mapletransactions.org/public/journals/167/article_22213_cover_en_US.png"&gt;&lt;br&gt;
&amp;nbsp;&lt;/p&gt;
</description>
      <guid>234770</guid>
      <pubDate>Wed, 06 May 2026 16:49:26 Z</pubDate>
      <itunes:author>rcorless</itunes:author>
      <author>rcorless</author>
    </item>
    <item>
      <title>New Maple Videos</title>
      <link>http://www.mapleprimes.com/maplesoftblog/234769-New-Maple-Videos?ref=Feed:MaplePrimes:Tagged With Maple</link>
      <itunes:summary>&lt;p&gt;Over the past few months, I&amp;#39;ve created a number of short videos. My intention is to help people use Maple more effectively. I occasionally give workshops introducing Maple and its programming language, and many of the topics come from questions I get from the participants.&amp;nbsp;&lt;/p&gt;

&lt;p&gt;These can be found on our &lt;a href="https://www.youtube.com/@maplesoft"&gt;Youtube channel&lt;/a&gt;. Here are the ones posted so far.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://www.youtube.com/watch?v=P0fXbwxvrkQ"&gt;What is a Workbook?&lt;/a&gt;&lt;br&gt;
&lt;a href="https://www.youtube.com/watch?v=n-cVK4ZgtXU"&gt;Creating a Workbook&lt;/a&gt;&lt;br&gt;
&lt;a href="https://www.youtube.com/watch?v=GIcVHjMbUCM"&gt;How to Customize Your Maple Settings with the Options Dialog&lt;/a&gt;&lt;br&gt;
&lt;a href="https://www.youtube.com/watch?v=Qb-5vp_JI-w"&gt;What is Maple Transactions?&lt;/a&gt;&lt;br&gt;
&lt;a href="https://www.youtube.com/watch?v=EqYrAC03-zI"&gt;How to Submit an Article to Maple Transactions&lt;/a&gt;&lt;br&gt;
&lt;a href="https://www.youtube.com/watch?v=ULrWjCtSAC4"&gt;Quotation Marks in Maple&lt;/a&gt;&lt;br&gt;
&lt;a href="https://www.youtube.com/watch?v=QwN4FORODQI"&gt;Using Single Quotes to Prevent Evaluation&lt;/a&gt;&lt;br&gt;
&amp;nbsp;&lt;/p&gt;

&lt;p&gt;If you find these helpful and have suggestions for future videos, please leave a comment, thanks!&lt;/p&gt;
</itunes:summary>
      <description>&lt;p&gt;Over the past few months, I&amp;#39;ve created a number of short videos. My intention is to help people use Maple more effectively. I occasionally give workshops introducing Maple and its programming language, and many of the topics come from questions I get from the participants.&amp;nbsp;&lt;/p&gt;

&lt;p&gt;These can be found on our &lt;a href="https://www.youtube.com/@maplesoft"&gt;Youtube channel&lt;/a&gt;. Here are the ones posted so far.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://www.youtube.com/watch?v=P0fXbwxvrkQ" rel="nofollow"&gt;What is a Workbook?&lt;/a&gt;&lt;br&gt;
&lt;a href="https://www.youtube.com/watch?v=n-cVK4ZgtXU" rel="nofollow"&gt;Creating a Workbook&lt;/a&gt;&lt;br&gt;
&lt;a href="https://www.youtube.com/watch?v=GIcVHjMbUCM" rel="nofollow"&gt;How to Customize Your Maple Settings with the Options Dialog&lt;/a&gt;&lt;br&gt;
&lt;a href="https://www.youtube.com/watch?v=Qb-5vp_JI-w" rel="nofollow"&gt;What is Maple Transactions?&lt;/a&gt;&lt;br&gt;
&lt;a href="https://www.youtube.com/watch?v=EqYrAC03-zI" rel="nofollow"&gt;How to Submit an Article to Maple Transactions&lt;/a&gt;&lt;br&gt;
&lt;a href="https://www.youtube.com/watch?v=ULrWjCtSAC4" rel="nofollow"&gt;Quotation Marks in Maple&lt;/a&gt;&lt;br&gt;
&lt;a href="https://www.youtube.com/watch?v=QwN4FORODQI" rel="nofollow"&gt;Using Single Quotes to Prevent Evaluation&lt;/a&gt;&lt;br&gt;
&amp;nbsp;&lt;/p&gt;

&lt;p&gt;If you find these helpful and have suggestions for future videos, please leave a comment, thanks!&lt;/p&gt;
</description>
      <guid>234769</guid>
      <pubDate>Wed, 06 May 2026 15:12:24 Z</pubDate>
      <itunes:author>pchin</itunes:author>
      <author>pchin</author>
    </item>
  </channel>
</rss>