<rss xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" version="2.0">
  <channel>
    <title>MaplePrimes - Newest Questions</title>
    <link>http://www.mapleprimes.com/questions</link>
    <language>en-us</language>
    <copyright>2026 Maplesoft, A Division of Waterloo Maple Inc.</copyright>
    <generator>Maplesoft Document System</generator>
    <lastBuildDate>Tue, 12 May 2026 20:29:04 GMT</lastBuildDate>
    <pubDate>Tue, 12 May 2026 20:29:04 GMT</pubDate>
    <itunes:subtitle />
    <itunes:summary />
    <description>The questions most recently asked on MaplePrimes</description>
    <image>
      <url>http://www.mapleprimes.com/images/mapleprimeswhite.jpg</url>
      <title>MaplePrimes - Newest Questions</title>
      <link>http://www.mapleprimes.com/questions</link>
    </image>
    <item>
      <title>plotting an 1-D array</title>
      <link>http://www.mapleprimes.com/questions/243588-Plotting-An-1D-Array?ref=Feed:MaplePrimes:New%20Questions</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:New%20Questions</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:New%20Questions</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>Deleting a column from a DataFrame? </title>
      <link>http://www.mapleprimes.com/questions/243583-Deleting-A-Column-From-A-DataFrame-?ref=Feed:MaplePrimes:New%20Questions</link>
      <itunes:summary>&lt;p&gt;Is the implementation of DataFrames in Maple antiquated compared to PANDAS or other modern implementations of DataFrames? Even doing the most basic tasks is extremely difficult or unintuitive. I have lived in the DataFrame help pages for 5 years and I still can&amp;#39;t delete a column from a DataFrame. Will I ever get any work done?&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&lt;a href="/view.aspx?sf=234756_post/delete_a_dataframe_column.mw"&gt;delete_a_dataframe_column.mw&lt;/a&gt;&amp;nbsp;&lt;/p&gt;
</itunes:summary>
      <description>&lt;p&gt;Is the implementation of DataFrames in Maple antiquated compared to PANDAS or other modern implementations of DataFrames? Even doing the most basic tasks is extremely difficult or unintuitive. I have lived in the DataFrame help pages for 5 years and I still can&amp;#39;t delete a column from a DataFrame. Will I ever get any work done?&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&lt;a href="/view.aspx?sf=234756_post/delete_a_dataframe_column.mw"&gt;delete_a_dataframe_column.mw&lt;/a&gt;&amp;nbsp;&lt;/p&gt;
</description>
      <guid>243583</guid>
      <pubDate>Tue, 05 May 2026 15:21:10 Z</pubDate>
      <itunes:author>nmacsai</itunes:author>
      <author>nmacsai</author>
    </item>
    <item>
      <title>Color option in context-panel</title>
      <link>http://www.mapleprimes.com/questions/243581-Color-Option-In-Contextpanel?ref=Feed:MaplePrimes:New%20Questions</link>
      <itunes:summary>&lt;p&gt;Color option in Context Panel does not work&lt;/p&gt;

&lt;p&gt;Steps to Reproduce:&lt;br&gt;
1. Create or open a histogram.&lt;br&gt;
2. Try to change its color using the Color option in the Context Panel.&lt;br&gt;
3. Observe that the color does not change.&lt;br&gt;
4. Click outside the histogram.&lt;br&gt;
5. Click back on the histogram.&lt;br&gt;
6. Try the Color option again &amp;mdash; now it works.&lt;/p&gt;

&lt;p&gt;Expected Behavior: &amp;nbsp;&lt;br&gt;
The Color option should work immediately when applied to the histogram, without requiring extra clicks.&lt;/p&gt;

&lt;p&gt;Actual Behavior: &amp;nbsp;&lt;br&gt;
The Color option only works after clicking outside the histogram and then reselecting it.&lt;/p&gt;

&lt;p&gt;&lt;img src="/view.aspx?sf=243581_question/M2026_06.png"&gt;&lt;/p&gt;
</itunes:summary>
      <description>&lt;p&gt;Color option in Context Panel does not work&lt;/p&gt;

&lt;p&gt;Steps to Reproduce:&lt;br /&gt;
1. Create or open a histogram.&lt;br /&gt;
2. Try to change its color using the Color option in the Context Panel.&lt;br /&gt;
3. Observe that the color does not change.&lt;br /&gt;
4. Click outside the histogram.&lt;br /&gt;
5. Click back on the histogram.&lt;br /&gt;
6. Try the Color option again &amp;mdash; now it works.&lt;/p&gt;

&lt;p&gt;Expected Behavior: &amp;nbsp;&lt;br /&gt;
The Color option should work immediately when applied to the histogram, without requiring extra clicks.&lt;/p&gt;

&lt;p&gt;Actual Behavior: &amp;nbsp;&lt;br /&gt;
The Color option only works after clicking outside the histogram and then reselecting it.&lt;/p&gt;

&lt;p&gt;&lt;img src="/view.aspx?sf=243581_question/M2026_06.png" /&gt;&lt;/p&gt;
</description>
      <guid>243581</guid>
      <pubDate>Mon, 04 May 2026 04:53:53 Z</pubDate>
      <itunes:author>Geoff</itunes:author>
      <author>Geoff</author>
    </item>
    <item>
      <title>This evalb behavior seems like an error</title>
      <link>http://www.mapleprimes.com/questions/243580-This-Evalb-Behavior-Seems-Like-An-Error?ref=Feed:MaplePrimes:New%20Questions</link>
      <itunes:summary>&lt;p&gt;In my opinion both these expressions should return false.&lt;br&gt;
&lt;br&gt;
&lt;img 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LzeLwwwGDlyJADgq6++ciwVebl85lIXF2eUX43fajuwu0XGP2jL8a8TpuP6+15G9JAzPbUwki/jeH+k4q+oQUObvV4b2hoqYETtS5Rej8YWvx8VDW3QFet07TUzNinwL1z7mDqx87EFqLiuBQdOKcX0GeMx6G8aaqbPQf1mc/BJwXi5vCmNS/pO9LTu7m5omoZrr70WR44cEYvR2tqKqVOnYsCAjIeKFPzwVzSgTVfMYE38EeeR/b21v8eeFDJHzcvlTZdkcDflVwPaDqBFBrTlwITpwH0vAz1waBD6LbJ7uPIDNY4cp7Y2oMKIX6LM8sgAvx9oaDNnyEcWSfNzZPNfe30vlwglKzHfi86dwIIKoOUAUDodGD8I0GqAOfVAgY8MBa97ofz1r+ZN1t3u3Hb0KPD66/nlp+Xa9v1RhqOvPVINCFf6EKiuRnN0HOoaCdTWEP+VE+NyItVC2DnTDsqs15MU3Ch+o40QVoWTAyy34A123ppLvo+5PDmYGD16NADgwIEDCctFfjPSRLsz0gQQTwZPfs/UBuE7P5iHWxoj2PHKLZj4aQOqyi9CVd3j+NPHWSRFFwO7fdzaziN7hvzEhekCGDvwdywpWPt0YldjNSoWN+HjU/yofnodXn55Pf74HxfhtP2v4qbLZuLXf0q/r2TH/UcMkPrHRW+4+eabsWvXLqxZswYPP/ywWJxffpqTvwZ1SY3v3cGD5vBb+3vsSSFz1KzRaQBc2s9KBnfJMUppEPCDeUBjBHjlFuDTBqD8IqDuceBEOzSEVpn/KjeKJd7ZM+Q7JZ1LHOzRkPEF5shbtCPph4Bhjcad4CEgAoDOXUB1BdD0MeCvBta9DKz/I3DRacCrNwEzfw0U8shQyLoXyrp1wB/+AGgacNNNwDffJJZv3mzeMqq8PHF5LtzangnEa6GJss+dScwzU0l1PjHlHFip8ovcJwhNnbeWei6te++9lwBQfX29UCJIVcdUy7N0fP979MI9QfphSQlNXvIben7b3+mYuFLRsfeD3HOMTO4Tr6aeXy05DzJlO6Ra7qqT9CfnUwlAOGUMXbPWiE8k2rWPXr3pYhoCEIZMotvbvkx8ajrpctSSvhuZl/emyy67jEaMGEGHDx+OLTty5AidfvrptGPHjoR1c6Urkut304u77rqLANCDDz4oFvWaVPOopVqerf3vEd0TJCopIVryG6JtfxfXKD52HlneOUZuE6+mmASWHNvcuX6quchSLXfTqRPNLzHXH3MNkeGYYXjfq0QXDzHLJt1OlMWRIW2OGqWpY6rlvSUSMd//N79JXP7rXxPNm5e4LGdubc8SeAzU3E7QOinC7PNE8ZOVrOqkioWpBhGoCsmSy8naOUmmqjhuWyJM6BlbPVVdiTZv3kwAaPHixWJREtfAIc8JO5N0fExtjbfRzyaeR+fP+hU9/KrRY4MN8hMftJH3Z9cVksTtSmkCnBT7S/7t8wVtbbiaygaX0PwndZfJRA/Qpv+aSRW/eo70b8SyNFJ9jhj3Hx6un6eXbd68mXw+H61evTq2rLW1lc4555yE9XJn7kfe2idZdXU1IeNgoJ7nNjlnoe9M0PExUeNtRBPPI5r1K6JXjZ4bbJAPO1hyJvXnSleStyulCXAUt9tWpQjs3NoslS+2El1dRlQyn0hPPjDQgU1EMyuInhMrlEGqzxFTgLr3lMsvJxo2jOhLR2Q6dSrRQw8518pdqrZncRkCtfiv/cT7PiokS7JrQBQ7WYl7HMVPvPFf1TqpskyK7ug5UZXYzhq/ZVFi0Jd0KyNdJ0VOf3uj7u5uGjlypMeZzeMnVJ0cAYPbZ8rX8UP0wcv30/IZpTRy0tW08pkttLcouth0UhX7lk4p2prI3FaSuU5s68T2AcetoHSVZCl1sKda7Re79ZCuJvemxRSifbrp0N/2uQRpuYt9V2S3OlscP2TIsS9nVfUeMnv2bDr77LPp888/JyKiuro6mj9/vrhaBnavtkyKY6ieKktZtk+isWPHUklJibi494n3+ixQb5qb44eIXr6faEYp0aSriZ7ZQkXR+66r8Vs6yel60qzRoM5Azg5qZSUetOiqeT9M103oeA17fdWlN80m3i/TDuhcXzuF7kNE+wp6YIiPinWrs60Qde8JW7cS+XxmLxoR0TffEH3rW0QffCCumV7Wbc9iMgZq9kEWsIbYS9bNssXVbKqc4uRq0u2Tv3Uit05Xjl6b+DPt6SCSeyisA79dJ5gnAXEt0YoVKwgAfeBlD9OtAMR6/YR7F/aITtq7+Vm6c8EiCvf0W6UVnwIDkvm501fHJVDT7R5SZ/ukv38nCfsG7JuyiyvZer190ohNvZH4SN5vTfYN7s1t7NIr3Ue2b99OAwYMoLq6OiLr/riPPPKIuFoG9o8mx3ZICNqyF41GCQDdeuutYlGfcE5HkTB1RE/pJNr8LNGCRWl6ZHpBbBoJO3DKVBmXQE1XHNvO2n7OE7cr+8bvjvdOt82dN/4W7y3Z2+xLlwmPND1rxVR3pyuvJDrzTKIDB4jWryc67zxxjcxyantGREQ+Sjf07ySzb98+jB49GkuWLEEoJMyYyBjD/Pnz0dLSgu3bt+P8889HNBrFmDFjxNV61fLly7FmzRrs2bMHw4YNE4sZYz0sGjUHDtx4IzBgAPDJJ0Bjo7gW6yn9KlADgPr6eqxcuRLt7e0YNWqUWMxYv7Zr1y6MHz8eEydOxP79+/Hhhx+Kq/Sqjz76CBdccAFWrlyJG264QSxmjPWS6mrg+eeBf/oncyTowoXiGqyn9LtArbu7G7NmzUJHRwdeeeWVjPf+ZKy/Wbx4MR577DEsWrQIa9asEYt7TVdXF2bMmIHBgwfjxRdfzGMuN8ZYvnbvBsrKgGPHgL/8xQzYWO/od0e+AQMG4LnnnsPgwYOxYMECsZixfu+2227DoEGDCjN/Wh4WLlyIM844A01NTRykMdbHxowBFi0yJ6rlIK139bseNRsR4fXXX8cll1wiFjHW761duxbTp0/H8OHDxaJes3HjRkyZMiW3G7Izxgru00+BSASoqhJLWE/qt4EaY4wxxlix4+sJjDHGGGNFigM1xhhjjLEixYEaY4wxxliR4kCNMcYYY6xIcaDGGGOMMVakOFBjjDHGGCtSHKgxxhhjjBUpDtQYY4wxxooUB2qMMcYYY0WKAzXGGGOMsSLFgRpjjDHGWJHiQI0xxhhjrEhxoMYYY4wxVqQ4UGOMMcYYK1IcqDHGGGOMFSkO1BhjjDHGilS/DdSICBs3bhQXM8aK3KZNm8RFjDF20uqXgVpHRwcuv/xyPP7442IRY6zI3X///Zg9ezY6OzvFIsYYO+n0u0Ctu7sbc+fORXd3Nx599FGxmLGTixFCwOeDz+dDUBMLs7do0SJcccUV8Fmv2VuP9957L1aHtWvX4uDBg5g3bx6IKKF+jDF2svFRPzvS3X333Vi9ejWi0SjOPfdcsZixk4YW9KEyDMgqoaFCLM1NSUkJVqxYgb1794pFPWrp0qUYMWJE7O/du3ejvLwcd955J2pqahLWZYyxk0m/CtT27t2LMWPGYNmyZbjnnnvEYsZOGmaQJkOlBhQoRsPu3btRVlaGAwcOYMiQIWJxr7vuuuvwxBNPYM+ePRg6dKhYzBhjJ4V+dekzFAqho6MDS5cuFYsYO3loQasnrXBBGgBs2LABkyZNKoogDQCWLVuGw4cP47777hOLGGPspNFvAjUiwtNPP42ysjKMHTtWLGbspKE1hwFJwbjmeI5XIfLTNmzYgEsvvVRc3GfGjx+PkpISPPXUU2IRY4ydNE6MQE0LxhOLnWcc53JfEOnORVu2bMEnn3yCyZMni0WMFS1tSXJivfujHHe0A4CG5jAANAFzCEQEXZEQrsw/WGttbcW0adPExX1qypQp2L17N7Zt2yYWFRcDCAYAnw/wBYCQIa6QTAta6/uQd9sxxk5cJ0agVtEAIh2KBEjj/K7LIc9Je5nnjTfeAACUlZWJRSkYCAUD1kkwgKCXI+tJxYAWDMRGDPp8AQS17LaBoQURCMSDiUBQg7dXMKCFHM8NhFyeV2TtY2gIWXUOZKqLEUIw9tmCnk7a2ZLr2lBjfSH8NXWQAYSbcz/bv//++zh06BAkSRKL3BkaggG7fczPmeXu44n9fba/38XICAG+UgB1ABGgTgBqq+GyTyeqaABIByQAzsMeY6x/OTECNQAwWtAUkVA1UzhiGS1oiggBnIt33nkHAHDeeeeJRS40BH2lqEUddCKQXgfUlib25hVcN77c+RJCsoxHMx3Be5yBUKAUle1VqNOtXhl1AtorSzMHITYtiNLKMCKR+KJIuBKlmbahEULAV4rK2nZMqFKh6wRqq0Fi6/ZF+6ShBRGoXoWm2sTP60oLwldaC9Tp5natA2pLU/d2VTxibv/Mj/dw6wTx2bYKzJHFZdlpbW2FJEk47bTTxCIXGoKllQgnNj4qS9P3eufC/j6//fbbYlFx0IDSWkBSEBt5u7MdkCZA2KfdGS1ARALEwx5jrB+hE4SuSATIpLoul0jRhQLB5MmTCQCtX79eLEqiykh+L1UmACSLFcjbcTq4vZn+u3oSjTx/Jt24po0+PSqu07vy3dZEKsmSTKpjPd3afm6vG6PKJAEESUl4rqgw7dNNXV3d4sL8WHWQUm4glWSAIFTS9fPkQZXF99BJkdLVK7O5c+fSqlWrxMWuVFkiObHxzc+dVft489JLLxEAmjZtmlhUFGQQAZRz2yoSEWRxKWOsPzlBAjXzRCOe4GLLJYUynYJGjRpFAOjNN98UixLpihksJL2XdbLx8F7eHKO/b/0Drfr5hXTe+Ln0n0++QZ91iuv0hTSfM+W28SZtQGK/dqpyW8o6pKm3iy+33EE/mnIjvfa3LrGIiL6kt1b/jORn9tBxsSidDIGaGei6BCsZnpc1axvF3keVM2/XNLq6umjo0KHU1tYmFnmXdSDtzaZNmwgAlZaWikV9TlfMIE1SxBKPdCIJVPBtxhg7sZwglz4NRCOAPEfMQjOXY0JZxssIX3zxBQBg0KBBYlECo6UJEbhdSvVjnAQgEs2YW5LeUex962ncfuWFuHBRM7queBRbtz2PO66+GOekr1rvMHaiXVxm889ElQQg3JzTJSz/OClFLqGBUHUtIpCg6OmnlChM+/wVL6z+LV7bVI9ZFcuhftblKPsKb9f/FD+55VmEl67AiwcdRXkx0NIUASAl5xv5x8Gseuaae+KvQZsqI1xp5YdVIq/51N59910cPXoUkyZNEou884+DBBlJX+E82d/nQ4cOiUV9ytCA6lrz/3W5zsdrABGg4NuMMXZiyTJQc0kwt3OWjHgCeGK+jYZQwFtCeEgzzHXFEZxaM8JuJzitGWEA8hw/jFAwVq9AMPm9Ojo6AACnnnqqUJLIiGZKMgojt5zsI/j09d9jxazv4V+ufwWn/WIttr39DG6/6iIMT1+lk4SG+mgVdLcp8rV61EYAyHWoEdtYUJj2OQfX/H4dVv94GL758wOYPSOI5o+OA/gaf/7dPFTetB4HBl+IG/5XwZxvi8/NlfWjIp0cA2BXFQ2O/LXcgzRY03JccsklGDhwoFjkmVYfRVWGIDwX9vfZ/n574ritVuZHdnl1RsgcpVlaaQZZAFApjtoURoBqBhDwAb6gYx3z8AZILrlsbiNINfeRpFrQem179GhIXIMxVuy8B2paEAFfKVahDo1E5mhLOYJwbT00I4RAaSkqrWTqxNFl1mEm0oQW54HEShpvshPCqRForkZTJHkEpzkvVFVSQq2xs908kjXXw5jZgDbSocpAJFyLarejVkYGdlrdSRPKxMOjH2Upk7XT+QYftYbxy8vKEbg5gmHBF/Dem41YMaccQ08R1y0Cdq9ZpBb12Zyh0jC0IAK+SrTDbcStgdCqMGA2uyNwdxsRWcD2OXMSVjSvh/KT7+LojjWo+vFCrL7tKlT+UsP+0yai5o8voX76d+ATn5erWE/lBCRXvQzZVL23bdiwIfdpOQwNwYAPle1wbf18+Xw5tJC/Bm1JgzFSPbILLv015shOXTH/lhTzb/v3iTgC1DrswTrsJbAOe0mBWqgaCANQdYDagLIWwFeJxP1KMwO0VQAayXwvRQbCtcgq8GSMFQHxWqgrK8k7MYcmOT8sljCelCekkuxcZuXQiDk57jk8GfLTxOR2O4dJqMNZZ51FAGjr1q2OpSL7NcU6mMwcK/eyJN1fkbHufvr3qaNp9NRldO86nb4scO66DVaidi4PV87E/3ijkWq1j/d8p3gSeezhtm9YZZKiOvYlO2dNcmzvAraP7esd9NDckfH6DSqn61/6jNwy1zJKl2uWNgfP3gZuZX3r2LFjNGTIEHrnnXfEoozs9og/vAxEyc5bb71FAGj48OFiUZ9SJDM/zfl57Zw1cRvY6wqHvZT5aTKSBxjIzr9V87libpwiEUEiTzmcjLHi4aFHTUOwMoyIrKItdl3KgBaqRm1EgtIYnzrBXzEHMlzyhIydQNVMaz0rH0lS0Oh6nUu4xGlNv5GUn2ZPy6E0ZrxcBgBnnnkmAKCzs1Ms8ijem+PF1+0v4H9+dy8ei47BPLkaVT/0Y0gOP/77REUDdFWBLIVRWWpelg4EDfjtfh/XPDM3FWggAuk6VNmafysi9HbaPU2SgsaaCse+ZOZZARGEVyVfyk6WXfvEDB6DKT/6PmJ3ijz7XIz9xyFZdDUXQLq8wD62ZcsWDBw4EBMnThSLMqpoMHvedVWG2foR1FZ7aUvv7O+z/f0uFlEzHTF+FcAwc9YkBe7HK+ESp9GSOj9tjgwgnHg5taEh/v9gJRCRgTZHbpwWAmojgNKY3EPHGCtuGc9HRmiVlQdW4chDK0Vl0wSoeptw0LESutGOnY6jsdYC3GitaISqURsB5Dpxbiwr/0i4xGkmj7vkpxlRROA2r1rUzA0RBhiMHDkSAPDVV185loq8XD5zqYuLM8qvxm+1HdjdIuMftOX41wnTcf19LyN6yJm4XhjJl2u8P1LxV9Sgoc1erw1tDRUwovYlSpezRzp+Pyoa2qAr1unaa9J8UuBfuPYxdWLnYwtQcV0LDpxSiukzxmPQ3zTUTJ+D+s3m4JOC8XJ5UxqX9J3oad3d3dA0Dddeey2OHDkiFqO1tRVTp07FgAEZDxUp+OGvaECbrpjBmvgjLk/299n+fnvSgzlqgHnZMQwAjrnSQtblTbeBBdZhL6HtW5qSgzdbRQOgSEC4MjkvzQiZ7y3PMYNDLQQEAkBlk3mp1DVIZIwVtQxHX3ukGhCu9CFQXY3m6DjUNRKorQEVSV96lxOpFsLOmXZQZr2epOBG8VxvhLAqnBxguQVvsPPWXPJ9zOXJwcTo0aMBAAcOHEhYLvKbkSbanZEmgHgyePJ7pjYI3/nBPNzSGMGOV27BxE8bUFV+EarqHsefPs4i+bkY2O3j1nYe2TPkJy5MF8DYgb9jScHapxO7GqtRsbgJH5/iR/XT6/Dyy+vxx/+4CKftfxU3XTYTv/5T+n0lO+4/YoDUPy56w80334xdu3ZhzZo1ePjhh8Xi/PLTnPw1qEtq/PwdPGgOy7W/3570YI4a7EEAzpwzA1bvP5Jeyw6sJggJfG7Bm1NNGyADqC1NzDlraTL/DVcCgWqgOQrUNZq5bMnHa8bYCUG8Fpoo+9yZxDwzlVTnE1POgZUqv8h9gtDUeWup59K69957CQDV19cLJYJUdUy1PEvH979HL9wTpB+WlNDkJb+h57f9nY6JKxUdez/IN8fIfeLV1POrJedBpmyHVMtddZL+5HwqAQinjKFr1hoUm2O4ax+9etPFNAQgDJlEt7d9mfjUdNLlqCV9NzIv702XXXYZjRgxgg4fPhxbduTIETr99NNpx44dCevmSlck1+9mPu666y4CQA8++KBY1GfsSW7t3cDOTXNrX9cJcdXU6yew8ticuWiur8cYO6F5DNTcTtA6KcLs80Txk5Ws6qSKhakGEagKyZLLydo5SaaqkGIXihN6xlZPVVeizZs3EwBavHixWJTENXAo9ISdHR9TW+Nt9LOJ59H5s35FD79q9Nhgg/zEB23k/dl1hSRxu1KaACfF/pJ/+3xBWxuuprLBJTT/SZ2S5xk+QJv+ayZV/Oo50r8Ry9JI9Tli3H94uH6eXrZ582by+Xy0evXq2LLW1lY655xzEtbLnbkfeWsf76qrqwkZBwn1Iit4cibtpxpEoCrWusLAAFWOB1uqEg+6FDl5IIA4sEAMEp0UiZKP14yxopchUIv/2nfe1scMrGTXg0HsZOV2RE4akamTKsuk6I6eE1WJHczjtyxKDPqSbmWk66TI6W9v1N3dTSNHjvQ4g3n8hKqTI2Bw+0z5On6IPnj5flo+o5RGTrqaVj6zhfYWRRebTqpi39IpRVsTmdtKMteJbZ3YPuC4FZSukiylDvZUq/1itx7S1eTetJhCtE83HfrbPpcgLXex74rsVmeL44cMOfblrKreQ2bPnk1nn302ff7550REVFdXR/PnzxdXy8Du1ZZJiTc+qbKUon1c9p8sjB07lkpKSsTFfcat9yzpDgW6OUpTd/SIJQRk9uhMPTGwkq11HV+plO8FR1Cmq0Sy5B68McaKX8ZAzT7IAtYQe0ki2TGNQhJVTnFyNen2yd86kVunK0evTfyZ9nQQyT0U1oHfrhPMk4C4lmjFihUEgD744AOxKJlunUCs10+4d2GP6KS9m5+lOxcsonBPv1Va8SkwIJmfO311XE60ut1D6myf9PfvJGHfADLsZ73ePmnEpt5IfCTvtybdvqcprO3mvlqv2759Ow0YMIDq6uqIrPvjPvLII+JqGdg/mhzbISFoE7nsPx5Fo1ECQLfeeqtY1Gdcp9qwesNg9XbJjoDN7n1zbh63qT1INf/WVSLJKodE8asMzlUd7wXJfL9UW58xVvx8lG7o30lm3759GD16NJYsWYJQiKfoZkw0f/58tLS0YPv27Tj//PMRjUYxZswYcbWisHz5cqxZswZ79uzBsGHDxOLeZwCBUgBK4tQYjDGWj34VqAFAfX09Vq5cifb2dowaNUosZqxf27VrF8aPH4+JEydi//79+PDDD8VVisJHH32ECy64ACtXrsQNN9wgFvcJIwSU1gIqJY/uZIyxXPW7QK27uxuzZs1CR0cHXnnllYz3/mSsv1m8eDEee+wxLFq0CGvWrBGL+1xXVxdmzJiBwYMH48UXX8xjjrf8BH0A1PjtocS/GWOsEPrmCNeHBgwYgOeeew6DBw/GggULxGLG+r3bbrsNgwYNKsz8aT1g4cKFOOOMM9DU1NRnQRoMoB0wJ1e2bpLernCQxhgrvH7Xo2YjIrz++uu45JJLxCLG+r21a9di+vTpGD58uFjU5zZu3IgpU6bkdkP2AgoFgdqweQcBpQ6o4SCNMdYD+m2gxhhjjDFW7ProugFjjDHGGMuEAzXGGGOMsSLFgRpjjDHGWJHiQI0xxhhjrEhxoMYYY4wxVqQ4UGOMMcYYK1IcqDHGGGOMFSkO1BhjjDHGihQHaowxxhhjRYoDNcYYY4yxIsWBGmOMMcZYkeJAjTHGGGOsSLnelH1D6//FwG+dnrDs/3x7BA4e/ByjxozF4b0fYuLEiQnljDHGGGOssFx71E47/XSMLf9BwuPgwc9xx3/+En/58P+hs7NTfApjjDHGGCuw/w/7tfTzY8yjqwAAAABJRU5ErkJggg=="&gt;&lt;/p&gt;
</itunes:summary>
      <description>&lt;p&gt;In my opinion both these expressions should return false.&lt;br /&gt;
&lt;br /&gt;
&lt;img 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" /&gt;&lt;/p&gt;
</description>
      <guid>243580</guid>
      <pubDate>Mon, 04 May 2026 00:27:37 Z</pubDate>
      <itunes:author>Mike Mc Dermott</itunes:author>
      <author>Mike Mc Dermott</author>
    </item>
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