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 <question type="category"><category><text>1MA 01. TRIGONOMETRIA/1MA.01.1 Raons</text></category></question>
 
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    <name>
      <text>1MA.01.1.10DT SEMBLANÇA DE TRIANGLES</text>
    </name>
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      <text><![CDATA[<table style="background-color: #ffffcc; background-image: url('http://www.insmilaifontanals.cat/none'); color: #0000ff; border: 4px solid #003300; float: none; text-align: left; vertical-align: top; width: 423px; height: 458px;" border="4" frame="box" rules="all" align="center">
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<td style="background-color: #003300; background-image: url('https://lcmates.eu/none'); color: #ffcc00; vertical-align: top; border-style: none; border-color: #003300; width: 50%; border-width: 1px;" rowspan="1" colspan="2" valign="top"><span style="font-weight: bold; font-size: large; color: #ffff99;">Triangles semblants</span><br /><br /></td>
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<td valign="top" width="50%"><strong><span style="font-size: small;">Condició 1 (suficient): </span><br /><span style="font-size: small;">Dos triangles són semblants si tenen els 3 angles iguals.</span><br /></strong><img 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" width="215" height="205" /></td>
<td style="background-image: url('https://lcmates.eu/none'); text-align: justify; vertical-align: top; border-style: solid;"><strong><span style="font-size: small;">Condició 2 (suficient): </span><br /><span style="font-size: small;">Dos triangles són semblants si tenen els costats proporcionals:</span><br /></strong><img 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" width="193" height="181" /></td>
</tr>
<tr align="center">
<td style="background-color: #003300; background-image: url('https://lcmates.eu/none'); color: #ffcc00; vertical-align: top; border-style: none; width: 50%;" rowspan="1" colspan="2" valign="top"><span style="font-size: large; color: #ffff99;"><span style="font-weight: bold;">Triangles en posició de Tales</span></span><br /><br /></td>
</tr>
<tr>
<td rowspan="1" colspan="2" valign="top" width="50%">
<div align="justify"><span style="font-size: small;"><strong>Dos triangles estan en posició de Tales si tenen un angle en comú, i els costats oposats a aquest angle paral·lels:</strong></span></div>
<div align="center"><img 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IVVgJPjlnOpAO4igDcLyo0AnBHwBlJgEKwCtN0xu3wmnwrAnHy/FG8WlKsyh8Y+glsD8iEFBsIqwNkxz35uyOE1/8zzLzTjsKBMZMzARsArSIG+dbtqD0e9dTUopizCN28HHI6aXTgjIBsOC3oPKdCHs0UWe+iy+uDn/PpQoHyrVp3DRkAmWpOGMwLeQgrcpttVe3jejrY7Zn8+/RXuFYA5vqssbLYTTw3IUp1LYVEoAt5CCtzCKsDpO39/bM1fuQ//rSKQcm6DsZH/gKkBisDQIAXq6OcKcH3EnPKZW/30aqChsX9QHDbbiTMCsrAXCn1t4f5xUh2kwK0tQEV6QJ8IkEM0NGEjIBMZRLxieGh0nQLuClAUvV0hW4AeReDumHY8NSALe8UwNgJDot8UcG8Bqtbu4z7w/RUB8eUz/AdMDSgzE4cFh0yPKcAqwHcjopVZAdxFAIcF5WJFABuBodJdCrAK4AhZUpPxCfdRH0Cm8QvcGpAJG4Fh0lEKsApwNSim7NF36ncp6EZAb6f/XHjvE//Alw7JgjMCw6aXFDhTZLGHLjs3dtGJ9I+5D/mgDKln8B4BmWjrFmwEhkn7KdDtqi2av/tqUIxl9jaFVwCGHRbERkCWmgM0JZ5aq7l/zFRN4ynwPwfLrBNWnghdeXzjfu7jLdOqlHOZ6af5D5gakDGDMjdz/5ipnWZT4CeX3RyffXlkbNHjWbXvF3KfbZnsHxT/x+M/4IyALOzWAIrAsGkzBb4qMdtDl50IXVkoFnEfbK+IBnwNsVwoAr6itRTo6rCbn955ZWRswWPZKqoA7iKAw4JyoQj4jqZSoKm44tjE5JMTVlZsUsEWsM8igI2ATCgCPqSRFOj60Vb4xM7LI2PzY3aqrgIwdXuL745pxxkBWVAEfEoLKfCV5Uj1Xck1oUmWjQo9DixHuqERRUAmFAHfUncKdDvtpU9kXRoV92n0+yqtACgCXkMR8DUVp0BjaVX1hBePhyaZMviPMYpAwKAI+JwqU6DbVXvs6e3fjpqrxhsBKALDgiLgB+pLgabSz6smrT4VsqRkvern34Ei4CUUAX9QUwr81GE1z8u+GhRTEKXc9wJ4C0XACygC/qGaFLhQbmmYmGgPXlq69gD30fUhFAH5UAT8RAUp0HnDal6w69KoOCW/GmhoUAS8gCLgN0pPgaaSyvrQJbXjEhXyNUG+hSIgH4qA/yg3BbrarQXz91wOitXSFsATioAXUAT8SaEpcMFkcYQttQcnamwL4AlFQD4UAb9SXAq4btiKFn54ZWTsgYhsTVYABkXACygCfqasFDhvPnI87MVTIUuOGlXzaqChQRGQD0XA35SSAp03rOZn3r8WFJMfmaXhCsCgCHgBRcD/FJECzeYKW9jzdeMSTQbFfVOgP6AIyIciEACcU8DVbjct3nNpVNyBiGxbtkZOBA8MRcALKAIBwTMFGgss1ruS7KHLNHwjoDcUAflQBAKDTwp0tVsPLfrom1FxxbPe1vwWwBOKgBdQBAKFQwpcKC//YnyCIzjh2MuK/qZAf0ARkA9FIGACmgJdHfb8uD2XR8YWztRXBWBQBLyAIhBAgUuB5kNlFZNT68YllhgOch9ILlAE5EMRCKRApEC3q7b8tzuvBsUc/s3rp7JU+Y7w4UMR8AKKQGD5PQXOFlhOTH6pJjTp8/W53EeRIxQB+VAEAsyPKfCTy14Sv+v6iOjS8G063AJ4QhHwAopAwPkrBS6WmawTVtpClmvyvQDeQhGQD0Ug8HyfAt1O++G5WdeCYkyRb+q8AjAoAl5AEeDBxynQWFRZMz6pdlyiOV2nW8DeUATko8xMMqRznwq98VkKdHXYzYt2fzciOm/2DlQANxQBL9QcoLAoaqniPhV645sUcBRWnRi/sj74uYp0XTwUKB+KgHyUsZGSUrmPhA4NNwW6OuyWuPcuj4wtiX4XFaAHFAEvVOZQWBT93zHuI6FDw0qBc0eqqiatdtyZULEONwL6kLa2aYOxkf+AqQG9sBYbAV4GSQGn02E2Nzudjh5/8sP3dQcX/fXCqHhsAdys2cU7VtVYs4vZf2z4sOjXc9o/zLB2lOdxnzGl6SjPM71RdevKVOY4x8WY99g8P2kQMIOkgNncLAgkii3s1+N0OkSxRRDovTvf+3tIksWYz332lGPHqhpBoMTYL1kQpCSfe+jh7wSBTG9UcZ86pTG9USUIJC4+w4LA+aIo3n9EEMhsbuY+Ejo0eBdgYy+KLa2tDWmGK4JAL92RfzB6h05eDSSfNbs4MfZLFgTl71iCJv2TfdCdR3K5T53SdJTniYvPsOvz/Wd54i/2s8+Yy3WK+0jo0OB7AXcQTLm3TRBoyS9Nx0RsAQYJgokTOxABMoMgPPQiIoAvWdvB1taG8OntgkDhwuk2IYKEh6A/rUJkuHAa18q7a/Vga1tbPfdh0C0vusD0qTc8dwQwwLWaNq0d10rmtQqf9gOuFV9e7AXa2urd/4xfGK4VrpVmyL1HwP4/m/uXh10urhWulWbIOi/gubbp/SeAa4VrpWqK+G4iAOAIKQCgd0gBAL1DCgDoHVIAQO+QAgB6hxQA0DukAIDeIQUA9A4pAKB3SAEAvUMKAOgdUgBA75ACAHqHFADQO6QAgN4hBQD0DikAoHf/D+CQPj/RT5UBAAAAAElFTkSuQmCC" width="238" height="163" /><br /><span style="font-size: small;"><strong>Si estan en posició de Tales, són semblants.</strong></span></div>
</td>
</tr>
</tbody>
</table>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>0.0000000</defaultgrade>
    <penalty>0.0000000</penalty>
    <hidden>0</hidden>
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 <!-- resourceid-resourcedataid: 20565-16017 -->
 <question type="shortanswerwiris">
    <name>
      <text>1MA.01.1.11Q Semblança triangles</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p> <strong><span style="color: #003300; font-size: small;">Els dos triangles són semblants.</span></strong></p>
<p><strong><span style="color: #003300; font-size: small;">Els costats mesuren: </span></strong><strong><span style="color: #003300; font-size: small;">a=#a, b = #b, </span></strong><strong><span style="color: #003300; font-size: small;">d = #d i f = #f</span></strong></p>
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<td align="center" valign="top" width="50%"><img src="data:image/png;base64,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" /></td>
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<p> </p>
<p><strong><span style="color: #003300; font-size: small;">Calcula: </span></strong></p>
<p><strong><span style="color: #003300; font-size: small;">a) la proporció (raó de semblança) entre el triangle gran i el petit.<br /></span></strong></p>
<p><strong><span style="color: #003300; font-size: small;">b) c</span></strong></p>
<p><strong><span style="color: #003300; font-size: small;">c) e</span></strong></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mn>1</mn><mo>.</mo><mo>&#xA0;</mo><mi>r</mi><mo>&#xA0;</mo><mo>=</mo><mo>#</mo><mi>s</mi><mi>o</mi><mi>l</mi><mspace linebreak="newline"/><mn>2</mn><mo>.</mo><mo>&#xA0;</mo><mi>c</mi><mo>&#xA0;</mo><mo>=</mo><mo>#</mo><mi>c</mi><mspace linebreak="newline"/><mn>3</mn><mo>.</mo><mo>&#xA0;</mo><mi mathvariant="normal">e</mi><mo>&#xA0;</mo><mo>=</mo><mo>#</mo><mi mathvariant="normal">e</mi></math>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;wirisCasSession&gt;&lt;![CDATA[&lt;session lang="ca" version="2.0"&gt;&lt;library closed="false"&gt;&lt;mtext style="color:#ffc800" xml:lang="ca"&gt;variables&lt;/mtext&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;repeat&lt;/csymbol&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;29&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;49&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;11&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;49&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;11&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;49&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;r&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;11&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;19&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;/mfrac&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;d&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;r&lt;/mi&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;e&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;r&lt;/mi&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;r&lt;/mi&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;sol&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;r&lt;/mi&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;i_1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;/&lt;/mo&gt;&lt;mi&gt;r&lt;/mi&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd/&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;mrow&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;&amp;gt;&lt;/mo&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;mo&gt;∧&lt;/mo&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;&amp;gt;&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;mo&gt;∧&lt;/mo&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;&amp;gt;&lt;/mo&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;/apply&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/library&gt;&lt;/session&gt;]]&gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;&lt;![CDATA[&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mo&gt;&amp;#xA0;&lt;/mo&gt;&lt;mi&gt;r&lt;/mi&gt;&lt;mo&gt;&amp;#xA0;&lt;/mo&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;#&lt;/mo&gt;&lt;mi&gt;s&lt;/mi&gt;&lt;mi&gt;o&lt;/mi&gt;&lt;mi&gt;l&lt;/mi&gt;&lt;mspace linebreak="newline"/&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mo&gt;&amp;#xA0;&lt;/mo&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;&amp;#xA0;&lt;/mo&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;#&lt;/mo&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mspace linebreak="newline"/&gt;&lt;mn&gt;3&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mo&gt;&amp;#xA0;&lt;/mo&gt;&lt;mi mathvariant="normal"&gt;e&lt;/mi&gt;&lt;mo&gt;&amp;#xA0;&lt;/mo&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mo&gt;#&lt;/mo&gt;&lt;mi mathvariant="normal"&gt;e&lt;/mi&gt;&lt;/math&gt;]]&gt;&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="tolerance"&gt;10^(-3)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;true&lt;/option&gt;&lt;option name="precision"&gt;4&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;option name="answer_parameter"&gt;true&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputCompound"&gt;true&lt;/data&gt;&lt;data name="inputField"&gt;popupEditor&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><span style="color: #006600;"><strong>Primer calculem la raó d/a = #r_1 que ens dona la proporció entre el triangle gran i el triangle petit (el triangle gran és #r_1 vegades més gran que el petit). <br />Com que són semblants, <br />per calcular c (en el petit), dividim f = #f (del gran)per #r_1;<br />per calcular e (del gran), multipliquem b = #b (del petit) per #r_1</strong></span></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 20566-16018 -->
 <question type="description">
    <name>
      <text>1MA.01.1.15DT SEMBLANÇA TRIANGLES RECTANGLES</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<table style="background-color: #ffffcc; background-image: url('http://www.insmilaifontanals.cat/none'); color: #0000ff; border: 4px solid #003300; float: none; text-align: left; vertical-align: top; width: 399px; height: 349px;" border="4" frame="box" rules="all" align="center">
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<td style="background-color: #003300; background-image: url('https://lcmates.eu/none'); color: #ffcc00; vertical-align: top; border-style: none; border-color: #003300; width: 50%; border-width: 1px;" rowspan="1" colspan="2" valign="top"><span style="font-size: large; color: #ffff99;">Triangles rectangles semblants</span><br /><br /></td>
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<div align="justify"><span style="font-size: small;"><strong>En els triangles rectangles que tenen un angle agut igual, els costats són proporcionals<br /></strong></span></div>
<div align="center"><img 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eAfg9afCTwb+zzotn+1L+0B+0AfD+ofB/wCFvgPXIZ7TVvCWsyrOfG3iDxBYR30Og+HZ9NivX0u6uIv9Jltru+uRaaDo2vappv6W6dPeXOn2FzqFj/Zl/cWdrPfab9pivf7PvJYEkubH7ZAFhu/skzPB9phVYp/L82MBHAr+PL9irw18Q/8Agkn8RLv49/GT4b+Hvib8CvFfiS8/Z8+LnxZ8HaRc6z4w/Z68Z6Lf2Uk9zprtEbuXwJrt3qtpa6hPbW1s/iv+zba3iSw1vTtC0PxT/Ybp2oWmrafYarp8v2iw1OztdQsZ/Lli8+zvYEubabyp0jmj8yGRH8uaOOVN22REcFRyZDmOKzH61Vxj+r4iLor+zOSywlJqfJXVWUefEfWnzv2il7KHs/YqKqU6kpfffS28G+BfBj/UPIvDOguMOD8XT4hxC8c5ZpPFVfEHPo18vWZ8MTyPCYqeV8Ix4Bw8svw8MoxGFWfZi85nxLicZWyfOskw2DuUUUV9EfxoFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH8137ZHxG0j/gm3/wAFTLn9uPxrF4f+KXw+/aC+Elj8P9Z8B6L4q8KR/Gf4a3Wm6R4N0I+J/CvgTXdU0+/1LQ76P4a2cUfiCGa10l28ReLdD1HUdLum0z+1/Af2pv20vhl/wWY8cfs5/slfAnQb74RWtn8W9M+IHiL4rfHjXPh94G8SWNnY6Xqnh648M/DnRdK8YeJrjxRrmr2/iGTULTQNJ1N9Y1jW9F0EHTbbTLLUdZ0/6S/YmvPhrL/wV0/4KJ3X7UNz4Yj+PVj4502z/Zy/4WPc6dHdQ/DdNY8RLaL4Ej8QSCEa1/wr1PhHJpJ0Yf2wvh2fV30/GnT6yW9h/wCC+Tfs+2/7Id3eeLZfClt+0VbeLvAk3wHuLaSwh+JMd/H4r0xvFT2EtqV8Rr4Wi8Er4jlv3ZhoceuJ4deVhrA0avzmvTr1sszrGwxdGjljzDG4jFZTUhF16joYlrEUpY1vnwtXGVKDqU6SoVXB1YRhUSknH/aXhXOOE+HPHf6MfhnmXh7xTxL464Xwj8KuD+B/pB5Pj8bDhLI8PxXwPhqnB3EGD8L6VOWW8d8PeGWU8UUsszniSpxRkOGzGOQ5lmGbZJXrYStTxn7uV/PZ/wAF2YbCx8W/8E6fF3xKs57z9m7w3+0lOvxyhazlvtLl0y71X4b6hFb39rHG4uZLnwNofxQitrYkPcwm+hjRy7bf2x/Z3ufHd5+z/wDAy7+KK3afE26+DvwyufiKuoK6X6+O5/BWiS+LlvVkzIt2PEDagLlXJcTBw3INfJX/AAUc/aA/ZW+Enw88C/Db9sX4ZeLPHnwZ/aF8Wf8ACvr/AFjS9D0bUfB/gnVbaXTLyz1rxlq954t8M+IfDDWcFxeeItG1rwZbax4isoPC+uX2nxQ31jZRXv1edwp4vJMQqlaGEhVhhqqqYlS9lTnGvQrUoYhRu1TnUjClWsnaMpOzSP8APz6L2Y5v4efSe4PqZRw7mniHj8lzfjPIa2UcE18PLPM2y7F8LcT8OZ5mnBtfFSpYevnWW5Ni8w4g4a9pOl9ZzDA4GEalOdSM4/aD/FT4S2Xw5HxNf4g+ALf4UQ6Mupp46HibQE8CJoSW3mJdx+IFvP7D/s8WoBjaO6MJjAVMjC1+GX/BCj4n+HPGXjL/AIKM+Gfhoj2fwS079pC3+JPwj0ZYns7LSfC3xR1j4m2mlW9npciB9NA8LeAfCcL27OSi20MLRo8LNLpf8Ocf+CU3wRtG/aO8e+PPFWt/CPS7ZvFdpY+Pfi94XufhLeWNvG2oWken3nh3w9oXiHxXbziJV0/SP+Eu1ptfYx6e1tqoujbT/Mf7DXw5/aa8bfsPf8FIv2jv2VvBUnhf4u/tjfGcp8DvDen3vhzwY9p4EsviFfR+Kr3wrqmu6x4e8K6BD4d8PfEn4j6N4bv4NQ02TTNZ8JSf2O0t5baRA3i4jGZk81ymricJQg8Jh81xUsJgMRLHYmvRhgZR5lajR9nTrV5YeGHpWqSrVZRvJOmk/wCnOD/DjwSo+AP0g8j4I8R+LcxwXiBxf4A8C4Tj7xb4Sy/wq4H4S4lx/irhMQsFifa8UcR1M3zbhvhTD8X5vxhxD7TKsFw7kNGvy4OpSzatVofWnxv1bVP+CrP7WEn7KHgfUb2H9iD9mDxNp2u/tReN9IuJrez+MfxO0q7lfSPhBoepWzKb3R9KvbOeC/ubWeKFJ4Ne8RI73Wj/AA+vdSy/+Dcb/kyH4p/9nVeN/wD1UfwOr57/AGX9I/4Lh/sh/B3w98Evg9+wF+zHaeFtClvL+71TW/G3g2+8UeK9f1ORZNU8T+LNUsf2udLttU17UPLt4JLiDT7K0tbCzsNL02ysdL0+xs7fhP8Ag348Zftk2WlQ+CvBXwn+H+r/ALFmr/Gr4k6j8Xfi7qOo2MXxD8LfEOL4K+GZNN0LQtMk+Jel39xpVxf6X8MIJpoPhh4jiWLxHrJOswCCabQvPweKk89yjFYrB5nHH4yOYRxTq5fiqUKaqrBU8PQoKpCLeDwMeb21ayUZVJ4iryutZfsniPwDh6H0T/pFcB8C+I3gbjPCXw5x3g5jOBKGQeMXAnEGZZvV4fn4lZrxlxZxdPJczxVKj4l+LONjgp8O8N+2niMfhsoyzg3h+OKpcMRqVP6vaKKK/RT/ABdCiiigAooooAKKKKACiiigAooooAKK5Txr468F/Dfw7feLvH/ivw/4L8Mab5Yvde8TatZaLpcEkzeXbwG8v5oIXurqUrBZ2kbPdXlw6W9rFLPIkbfK+p/H/wCKvxO3WnwG8C/8If4Ym+X/AIXL8cNC1nSYbiBsf6V4E+Cv2jQfHniLcpYRX/xA1D4WabGxg1HTbfxdpzeTLhVxNKi+WTcqjV40aa56sk9E+VfDBtcvtKjhSi9JTifXcPcEcQcSUZ47C4algcko1nQxfEWb1o5bkWGqwjGpVw6x1Zf7dmFOhL6xHJsppZhneJoRnPB5biXHlPqjxr468F/Dfw7feLvH/ivw/wCC/DGm+WL3XvE2rWWi6XBJM3l28BvL+aCF7q6lKwWdpGz3V5cOlvaxSzyJG3yvqfx/+KvxO3WnwG8C/wDCH+GJvl/4XL8cNC1nSYbiBsf6V4E+Cv2jQfHniLcpYRX/AMQNQ+FmmxsYNR0238Xac3ky4vh34J+HrLxFZ+PfHOseIPjB8TrLzHsvH/xKubPVr7w+86hLiPwH4bsLHTPBPw1tZk/czxeA/DWgXOowKn9uXmr3Qe7k9lrklUxFbd/Vqf8AJTalXku06vw07p2lGinOMkpU8SfoWByjgzhm0sPhv9dM5p/8zLOKFTCcMYStH7eW8Pc8cZnPsq1ONbC43iSvQwGMw1WeGzPgpSXMeKaB8DPDVv4ksvH/AI/1bXvjL8T9PZ5NN8f/ABOl07V73w1JMuJ4/AHhvTtO0rwV8N7aUExzDwP4c0S91CERjW9Q1eeMXB9gmsLG4urO+uLK0nvdO+0f2feTW0Mt1Y/a4xDdfY7h0aa2+0xKsVx5Lp50YCSblAFW6KUKcKaahFJN80nvKUtPfnJ3lObsm5ybk2rttm2ZZ5m+b16VfMMfXryw+HeDwlNNUMLgMC1USy/LcFh40sHluXQjVqQpZfgKGHwVKnOVOlQhCTieb/sjadp+reGP2gdP1Wws9TsLj9qL4tefY6hawXtnP5U/h2eLzra5SSGTy5o45o96NsljSRcOikfaFfHf7G3/ACBPj5/2dF8Xv/Q9Ar7ErfL/APdKDtrytX9Jzt91397PkfFuc34g8SU3KTpxxWFnGDk+SM6mVZdGc4xvyqU406anJK8lTgm2oxsUUUV2H5uFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHwb+2B/wTb/ZV/bcm0/WfjJ4P1Oy8c6TYjStN+JPgTVl8M+N4dJVpZItKvLuSz1PRtdsLaaaSewg8R6Jq/8AZkkk/wDZrWkd5epc/P8A+zl/wRN/Yc/Zw8c6R8RtO0Lx58VvFfhy/h1XwxdfGPxJpHiLTfD2rWskctlqtn4e8NeGPB/h++v7CaMXGnza7pmr/YLwR39msN/bWd1b/rlRXm1MnyqriljauX4WeKUlL20qMHNzW05aWlNWVpyTkrKz0R+25N9JPx94e4FqeGmR+L/iBlXAlTC18AuGcFxLmNDL6GX4pTWKy3CclZV8FluJVSrHEZdg61DBV41q8atCar1VP5A/bV/Yq+Fn7d3ws0D4RfF3X/iB4c8N+HPiBpXxHsb74car4d0jXJdc0jw54q8MW1rdXPifwp4vsH0p7DxfqU08EOmQXjXkFjJHfRQxXFvc+w/HT4DfCf8AaT+G2ufCT40+DtP8beBdf8iS60u9a5trmzv7Ri9hrGi6rYTW2qaJrWnyM5s9U0u7tbyJJJ7YyvaXV1BN69RXU8JhpTxE5UKcpYunTpYnnipKvTpKcacKkZXjKMVUqKzVmpO9z4XD+InHOEy/g3LMFxVnWAwfh5nGbcQcDwwGNq4GtwtneeV8qxWa5rk2Lwjo4zBY7GYnJMprzxFOuqkKuAw86Mqcotv8PfC3/Bvt+wJ4d8WQ+JNRk+N3jTTIbwXQ8D+KfiFpEfhN0WTzFs5pfCvg3wv4uls1wIyr+KzNJH8s08hLE/tJ4X8L+HPBHhzQ/CHg/QtK8MeFfDWl2WieH/D2h2Nvpmj6NpGnQJbWOnabYWkcVtaWlrBGkUMMMaoiqMDOTW9RWODyzL8v5/qWDoYZ1P4jpU1GU7apOXxOKd7Rvyq7skfR+Jfjl4weMf8AZi8UfEfi3jmnksZrKcNxBm+JxmDy+dWMYVq+FwPNHB0sXiIQhDE4yND63iIQhGvWqRhFIr5A/Yq/Yq+Fn7CPws1/4RfCLX/iB4j8N+I/iBqvxHvr74j6r4d1fXItc1fw54V8MXNra3Phjwp4QsE0pLDwhps0EE2mT3i3k99JJfSwy29vbfX9FdE6FGdajiJ04yrUI1Y0ajvzU41+RVVHyn7OHN/hR8XgOLeJMr4b4i4Qy/OMZhOGeLMXkOP4jyalKKweb4zhieZTyDEYuLg5yqZVPOMzlhXGcFF4ytzKV1YooorY+dCiiigAooooAKKKKACiuU8beO/Bfw28OX/i/wCIPivw/wCC/C2lqrX+v+JtWstG0q3Mh2wwteX80ELXNy+IrS1jZ7m7nZILaKWZ0RvkbWf2h/jB8UXfTv2efh6nhHwvLhG+OPx40XWtI0+aBm2tdeAPgnHc6D8QfFrGNhJbah471D4U6I2Yr3Tn8UWR8mXnrYqlRajJuVRq8aNOLnVkm7J8q+GF9PaVHCmn8U0fY8N8CcRcUUp47B4ejgMjoVXRxnEmc4iGV5BhKkIwqVaH9oYiyx+YU6E/rEclyinmOe4qjGUsDlmKlHlPrfxv498EfDTw3feMPiH4t8OeCPCumeWL7xD4p1iw0PSLZ53EVtA99qM9vAbq7mZbeztEdrm8uXjt7WKWeRI2+VL39oX4ofFVHtvgF4Gk8I+FpjsHxo+OHh7W9Gtru3dOL34f/BmSfQPHfiZSGBh1Lx7e/C/SOYdQ0uLxdYMYpOa8MfAPw5ZeJrL4ifEXXvEnxt+K1iHax+IPxOuLLU5fDckyoJ0+Hfg/TbLTPAfwytZAvlSf8IP4a0bU7+AKNd1XWbnzLuX3WuSVTE1/if1am/sU5KVeS/v1fhp3TtKFFSlFpOGJ6H6HhMm4I4YUXhaMuOM7p2vmub4epguFMJWjvLK+HZOOPzxUq1ONbC4/iatg8Di8NVnhs04HUlznjfh74KeHrPxHaePvHOr+IPi98TbMyvZePviTc2mrXvh57hdtxH4C8N2Nlpvgr4bWkqfuJ4vAnhvQbnUYFjOu3usXQe7k9kooohThTTUIqN3zSerlOT3lOTvKc3b3pzblLdtk5nnGZ5zWp1syxlXFSoUY4bCUny08LgMJCUpUsDl2Coxp4PLcvoOclh8BgaGHweGi3ChQpw90KKKKs80KKKKAOD/Y2/5Anx8/7Oi+L3/oegV9iV8d/sbf8gT4+f8AZ0Xxe/8AQ9Ar7ErTL/8Ac6H+F/8ApcjxfFv/AJOJxL/2EYP/ANVmBCiiiuw/OQooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK5Txr468F/Dfw7feLvH/AIr8P+C/DGm+WL3XvE2rWWi6XBJM3l28BvL+aCF7q6lKwWdpGz3V5cOlvaxSzyJG3yvqfx/+KvxO3WnwG8C/8If4Ym+X/hcvxw0LWdJhuIGx/pXgT4K/aNB8eeItylhFf/EDUPhZpsbGDUdNt/F2nN5MuFXE0qL5ZNyqNXjRprnqyT0T5V8MG1y+0qOFKL0lOJ9dw9wRxBxJRnjsLhqWBySjWdDF8RZvWjluRYarCMalXDrHVl/t2YU6EvrEcmymlmGd4mhGc8HluJceU+qPGvjrwX8N/Dt94u8f+K/D/gvwxpvli917xNq1loulwSTN5dvAby/mghe6upSsFnaRs91eXDpb2sUs8iRt8r6n8f8A4q/E7dafAbwL/wAIf4Ym+X/hcvxw0LWdJhuIGx/pXgT4K/aNB8eeItylhFf/ABA1D4WabGxg1HTbfxdpzeTLi+Hfgn4esvEVn498c6x4g+MHxOsvMey8f/Eq5s9WvvD7zqEuI/AfhuwsdM8E/DW1mT9zPF4D8NaBc6jAqf25eavdB7uT2WuSVTEVt39Wp/yU2pV5LtOr8NO6dpRopzjJKVPEn6Fgco4M4ZtLD4b/AF0zmn/zMs4oVMJwxhK0ft5bw9zxxmc+yrU41sLjeJK9DAYzDVZ4bM+ClJcx4t4e+B/h218R2Xj7x9rXiP4y/E2weWXT/HnxNurLVrnw5LcLsnXwD4W02w0rwL8N4JI/9HlPgbwxod/qFuFGuajrFz5l1J7TRRShThTTUIqN3zSerlOT3lOTvKc3b3pzblLdtl5pnOaZ1WpVszxlXFPD0Y4XB0WoUsJl+DhKU6eBy3A0I0sFlmX0XOX1fAYChhsHh1JxoUKcdAoooqzzAooooAKKKKACiiigDg/2Nv8AkCfHz/s6L4vf+h6BX2JXx3+xt/yBPj5/2dF8Xv8A0PQK+xK0y/8A3Oh/hf8A6XI8Xxb/AOTicS/9hGD/APVZgQooorsPzkKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAor83f24v+Csv7Dv/BPaaz0P9ob4sCP4ianYR6rpfwj8B6Tc+NviXd6ZMSLfUr3Q9OeKw8L6bebJf7M1Hxnq/hux1c290mk3F9Ja3CRfn/8ABP8A4OfP+CYPxg8aaf4N1zUfjh8CBqt3DYWXi342fD3w7p/gv7Vcv5Vuuoa38OvHvxJfQrR5SiTatr9lpejWCP8AadT1Gys4ri5h/pHg76Hv0pvEHgaXiVwT4AeKvE3A31apjcNxHlPB2b4nBZng6Kk6uLyOEcOsVn+FpuFSM8RkmHx9GM6dWm589OcY+LieI8hweK+pYrN8BQxXMoyo1MTTjKEna0at5ctKTurRquDs07WZ/RFRVHTNT03W9N0/WdG1Cx1fR9XsbTU9K1XTLuC/03U9Nv7eO6sdQ0++tZJbW9sb21liubS7tpZLe5t5Y5oZHjdWN6v5wnCdKc6dSEqdSnKUKlOcXCcJwbjKE4ySlGUZJxlFpNNNNJo9pO6TWqeqa1TT2aYUUUVIBRXKeNvHfgv4beHL/wAX/EHxX4f8F+FtLVWv9f8AE2rWWjaVbmQ7YYWvL+aCFrm5fEVpaxs9zdzskFtFLM6I3yNrP7Q/xg+KLvp37PPw9Twj4XlwjfHH48aLrWkafNAzbWuvAHwTjudB+IPi1jGwkttQ8d6h8KdEbMV7pz+KLI+TLz1sVSotRk3Ko1eNGnFzqyTdk+VfDC+ntKjhTT+KaPseG+BOIuKKU8dg8PRwGR0Kro4ziTOcRDK8gwlSEYVKtD+0MRZY/MKdCf1iOS5RTzHPcVRjKWByzFSjyn1v438e+CPhp4bvvGHxD8W+HPBHhXTPLF94h8U6xYaHpFs87iK2ge+1Ge3gN1dzMtvZ2iO1zeXLx29rFLPIkbfKl7+0L8UPiqj23wC8DSeEfC0x2D40fHDw9rejW13bunF78P8A4MyT6B478TKQwMOpePb34X6RzDqGlxeLrBjFJzXhj4B+HLLxNZfET4i694k+NvxWsQ7WPxB+J1xZanL4bkmVBOnw78H6bZaZ4D+GVrIF8qT/AIQfw1o2p38AUa7qus3PmXcvutckqmJr/E/q1N/YpyUq8l/fq/DTunaUKKlKLScMT0P0PCZNwRwwovC0ZccZ3TtfNc3w9TBcKYStHeWV8OyccfnipVqca2Fx/E1bB4HF4arPDZpwOpLnPG/D3wU8PWfiO08feOdX8QfF74m2Zley8ffEm5tNWvfDz3C7biPwF4bsbLTfBXw2tJU/cTxeBPDeg3OowLGddvdYug93J7JRRRCnCmmoRUbvmk9XKcnvKcneU5u3vTm3KW7bJzPOMzzmtTrZljKuKlQoxw2EpPlp4XAYSEpSpYHLsFRjTweW5fQc5LD4DA0MPg8NFuFChTh7oUUUVZ5oUUUUAFFFFABRRRQAUUUUAFFFFAHB/sbf8gT4+f8AZ0Xxe/8AQ9Ar7Er47/Y2/wCQJ8fP+zovi9/6HoFfYlaZf/udD/C//S5Hi+Lf/JxOJf8AsIwf/qswIUUUV2H5yFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXk/x6+Klh8C/gZ8Z/jbqtqb3S/g78J/iL8VNSsgzobuw+Hvg/WPFt5aho0kkU3FvpEkW6OORxvyiMwCn1ivFv2kfhSfjv+zt8e/geLmKyPxl+C3xS+FP2ycyLDaf8LD8Da74R+1TNEGlWKD+2PNkMYMgRCUBbAr6LhCGRVOLOF6fFEpw4ZnxFksOIp03ONSGRSzLDLN5QlT/eRnHL3iHFw99SScdbGOIdVYeu6CvXVGr7FPb2vJL2d76fHbfQ/nM/4N8/2NvBnx4+F3jD/gqp+1X4f0T44ftP/tS/Fn4ja/4W8Y+PdLtPEdr4D8K+FfFOo+DLyXwdpGrxXljoOtX3i7QfE2nQ6lZxibQvBmjeGfCvho6NpcGrQar+9P7ZH7FnwD/bk+CnjD4LfHLwP4f16z8QaBqWneGfF8+i2F14v+G/iCe1mTR/GPgfWpY11DRta0K/eK+jjtLuCz1WGOfR9ZhvtG1DULG5/Gb/AINp/wBo7w5c/sfav+wh43ubbwX+0l+xv8Tfi34T8XfCjXp7ew8Xjw3r/wAR/EHjC58QW2mSMs2oWuieOPE/irwd4gNmbt9C1HSbD+1DaW+u6C17/Q94+8feCvhZ4K8UfEb4j+KNE8E+BPBWi3/iLxX4s8R38Gl6HoOiaZA1xe6jqN9cukUEEMSnGSZJZCkMKSTSRxt/b303eL/GjIPp2eJeKweb8T5Jn/BXiZUwPgTS4dr43DwyDw5wOOpQ8GqHh3g8vf1fC5Li+Do8OYjKcPkVFYLMamJnVVOvWxVd1Pl+F8PltbhXAxlToVaWJwKnmrrKMvbY2cG8yeMlP3pVY4l1lUdV80ErXSirfG//AATU/ZB+If7Cf7JPgP8AZk+Ifx2f9oK4+H17rK+F/Fr+DrjwYPD/AIS1a4j1Ox8BW1pd+LPGF5qumeFtTuNYh0TVrm/sCuh3Wm6Pb6HpVlo9rAfvavyF/wCCcn/BV/w/+3Z8Ifjx+0J4w+GNj+zj8Bvhd8XdR+G/w++KHjj4i2s2nfFXT4GuL+LVG07VfDXhceFtXstH1Dwja3ui2+q+K47/AMRa1eaXpl+brTZrOvqfU/j/APFX4nbrT4DeBf8AhD/DE3y/8Ll+OGhazpMNxA2P9K8CfBX7RoPjzxFuUsIr/wCIGofCzTY2MGo6bb+LtObyZf5c+kXg/FDIfG3xJwfjnhMHgfGHE8TYzOfEDL8shwpGEOJeIY0s+x054TgZ/wCrGAxNaeZRq5jhMDHDRy3MamJwOZUcHmdDGYal+lcDcGZjxRk2EzDIKMcJwph4rCLiTOq1bLsjw0cNGKlh1mGYL2+Y46lh17ellOWU8xzvGYWDq4DL8XDlv9UeNfHXgv4b+Hb7xd4/8V+H/BfhjTfLF7r3ibVrLRdLgkmby7eA3l/NBC91dSlYLO0jZ7q8uHS3tYpZ5Ejb5X1P4/8AxV+J260+A3gX/hD/AAxN8v8AwuX44aFrOkw3EDY/0rwJ8FftGg+PPEW5Swiv/iBqHws02NjBqOm2/i7Tm8mXF8O/BPw9ZeIrPx7451jxB8YPidZeY9l4/wDiVc2erX3h951CXEfgPw3YWOmeCfhrazJ+5ni8B+GtAudRgVP7cvNXug93J7LX4hKpiK27+rU/5KbUq8l2nV+GndO0o0U5xklKniT9UwOUcGcM2lh8N/rpnNP/AJmWcUKmE4YwlaP28t4e544zOfZVqca2FxvElehgMZhqs8NmfBSkuY8W8PfA/wAO2viOy8fePta8R/GX4m2Dyy6f48+Jt1Zatc+HJbhdk6+AfC2m2GleBfhvBJH/AKPKfA3hjQ7/AFC3CjXNR1i58y6k9poopQpwppqEVG75pPVynJ7ynJ3lObt705tylu2y80znNM6rUq2Z4yrinh6McLg6LUKWEy/BwlKdPA5bgaEaWCyzL6LnL6vgMBQw2Dw6k40KFOOgUUUVZ5gUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAcH+xt/yBPj5/2dF8Xv8A0PQK+xK+O/2Nv+QJ8fP+zovi9/6HoFfYlaZf/udD/C//AEuR4vi3/wAnE4l/7CMH/wCqzAhRXhniP9pX4H+Evjp8PP2adf8AH9hZ/HL4qaNrviHwN8PodN17UdS1TRPDmla1reqalfX+maVeaH4ctRpvhzXp9PfxNqmj/wBtPpN9a6MNQu7d4B7nXTCrTqOoqdSFR0pulVUJRk6dRRjN06ii3yTUJwk4StLlnGVrSTfx2ZZHneTUspr5xk+a5VQz/K4Z5kVbMsvxeBpZ1klXG47LaecZTUxVGlDMsrqZjlmZYCGYYN1sJPG5fjsLGs6+Er06ZRRRVnlBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAyWWOCKSaaRIYYUeWWWV1jiiijUvJJJI5CIiKCzuxCqoJYgAmvnL9mT9rr9nT9snwj4x8e/sz/EzT/it4M8BfEnxD8I/E3iTSNG8UaTpVv4+8L6ZoGs6zpWmXPibQ9EXxJp8WleKNBv7LxR4a/tfwprFtqMUmj63fiO48r8gP+Crf7SHxW/aX+MPhP8A4I4fsU6/Jp/xl+N2kR63+158W9LMtxZfs3/szXKWr+IrbVLizkiFr4o8e6JfRW8ml3F7Y3VxoGs6F4ag2XnxR0PVNL8D/wCDSj/lHH8av+z2fiP/AOqK/Zur+5Y/RCw2SfQz4z+klxpxDjMt47o574UV+CfDbDTwtKvS8N/EfMuMMsy3j3jDDYjA18ZTwvGOL4QztcC4TDYzLa9TLcixPEOKhjsoz3I5y+W/1ilV4lw2S4ajGeFdLMFisbJSaeNwUMNOeEw7UlFyw0cTS+tSlGaU6saMeSpSqo/qLoor42/b0/bX+Fn7AH7NHjr9ov4py/bIdBgTRvAvgu1uo7fXPiX8SNYhuE8JeAtADRzy/atXu4JLnVL6G0vBoHhuw1vxJc2s1no9wh/j3hDhHiXj7inh7gng7JsbxDxVxXnGAyHh/JMupe1xuZ5tmeJp4TBYOhBuMVKrWqxUqlSUKNGHNWrVKdKE5x+jxGIo4ShWxOJqRo4ehTnVrVZu0adOCcpSfXRLZJtvRJtpHbeLf2v/ANnDwN+0p8Kv2P8AxP8AFHS7D9pL42eH/Enir4b/AArg0jxNqur614d8JaJ4h8Ra1rGpano+iX/hzwlZLpHhPxNc6XJ4x1nQP+Ehk0PU7Lw8NUvrWW2HnP7Yv/BRb9jf9gP/AIV1/wANbfGL/hU3/C2P+Eu/4V//AMW++Kfjv+3/APhBP+EY/wCEr/5Jp4I8Zf2V/ZX/AAmXhv8A5DX9m/bv7S/4lv2z7Hf/AGX+Qf8AY8+HH7VPhb/g4b/YC+LP7aOsy3X7Qv7WvwQ+MP7UHizwhLbXNofhJo3jL4MftdeCvA3wnW0uriebTk8IeCPh34fX+w5BFceF2vW8LX32vUdEvNSvv7ZfjF+zT+zj+0R/wjn/AA0B+z/8E/jp/wAIf/a//CJf8Li+FXgT4m/8It/wkH9l/wBvf8I5/wAJroOt/wBif23/AGJov9r/ANmfZf7S/sjS/tvnfYLTyv7Y+kB9HbwI+jD4q/R/4e4y4r438WPD/jXwJwPiJ4m5z4U59wvlmMxvGeO4o8VuD62D8Lc74g4WzTKFwdlee8HZHTp5jnWV53X4hy6hnWaYDF4OlnOU0Mp+YyjOc1zzAZvWw2HwuX4vDZrLB4GlmFKvOMMNGhl+JUsfSo16dT6zOliar5KVSkqM3SpzjJ06jqflz/xEWf8ABG7/AKPD/wDNff2pv/nIV+h/7JP7aP7NP7dPw41r4t/sr/En/haXw98O+NtS+HWseIP+EO8feCPsfjLSNC8N+JtQ0f8Asr4i+FvCOt3H2fRPF3h69/tC102fSpf7Q+zQX0t3aX0Ft+GH/BWX4XfsbfCd/gx+w7+x7+wP+w7d/t1/tr6zJ4Q+Gl6f2VvgRPF8FPhsHng8cfHfXoI/h9dy2sXh7TrXWH8NTz2j28b6H4q8URx6mPAt1oep/t9+xD+xt8I/2C/2b/AX7N/wb05ItC8KWYvPEviWe0gttd+IvjzULa1XxT8QvFMkJcz654hubWELE000GjaNZ6P4a0totF0TTLW35/Hbwz+iVwz4AcFeI/htlP0juFvEDxO4gxVTw/4b8V+OPDLiPA5r4c8PYjFZXxLx7j8u4R8NuGMxy/K8XxJQnwvwhVq5qpZ5mWUcU4mOF+o5HCrj6yrHcQ183xODxtTJa+DwNGKxlbL8LjqM6eNrRjUoYSM8Rja8J1I0X7fEJU/3UKmHXNz1WofWlFFFfwYfVhRRRQAUUUUAFFFFAGfcatpVnf6dpV3qen2up6x9s/sjTri8toL/AFT+z4VuL/8As6zlkW4vvsNuyz3n2aOX7NCyyzbEIajVdW0rQ7CfVdb1PT9H0y18r7TqOq3ltp9hb+fNHbw+feXckNvD51xNFBF5ki+ZNLHEmXdVP4uf8FqP2UPBPxI+EXhX9rzSf2kdO/Y//aa/Y7bWfGfwD+PfiPxk/hrwcl/Pb/2lqvw18T2NxJcWuq23j2PSF060h0vRtZ8QXd0BpP8AYfivQtQ1jwnrH87Hw9/a1/ap/wCDjH4g/D39mT4g+O/hP+zp8Evgr4S8K/ED44/DfRvEHiA6x+0t4w0rUPIu/Etj4UsbzQPEOr+EdO1CCxu5fBFj4o0vTfAw1JNUn8ZX3iO78Jahof8Ac3hD9DjL/Fnwgl4+YXxRhkvhd4cQzd/SVxmL4QzDEcReFtTDYnEVuGocG5Lh8wlQ8UI8dZbPLsFkdTB5lkX9j8TTx+G4yhw5w9h8LxHjfJjj8XPPcDw+sJRoYvO8RGhkOMxuLWGyrFRhGm8fWxuMdGc8HHK1KVfE0aNDG4qvQ9lTy7D43HV6eDl++f8AwUv/AOCM37GH7RPjS6/bC1L4z+Jf2HPjrpT2Uuu/tBfD7xJpXhfSNe1CKFNM0vUvFmlaleaKtx4vFsI9J03W/C3iTwt4k1hXhsNUn8QNFpsNr+Qzf8EQ/wBof9qnVtJ0z4y/8FIP2xf2j/gNpOoWt/Z65+0VpfxH8EaZqJtn82OfwN8MPiL8Z/ij401yxuUItpNV8Q6f8FSttKdQ8M6prkMkUqf0p+Av2b/B3hbUfD/irxhq3iT4x/EPwzp1rpvh/wAcfE69g1qXwlaWtrBZx2nw78LWttZeC/hvarbW8dvJL4O8P6XrOpwIreItZ128aa9m+ha+H4S+nz9LvgbhjJ+C+FfGTM8Fw7wvgXk3CFfNuFeAuJeL+F8lgpUsLl/DXG3EvDWfcXcH4XD4eSo4TAcM8RYWllUI06OW4unRpU0v2b/iHPhPktSpiI5P/rxxBVkqmKzPMHmOUcHU8VGzlVwPC9DE4bE8ROFenGth8y4qeEwePw9Wph824H57zfyT+zn+xR8Cf2aPCHgHwn4L0CbW1+GelHSPA+o+LJYdU/4Q63neSfUG8E6JHBbeGvBV1rF3cXV74h1jw1o+n+I/F2o3V1rHjXXPE2u3d7qtz9bUUV/JuY5hmGcZlmOc5vjsbmucZxj8Xmub5tmeKxGPzPNc0x9eeKx2ZZlmGLqVsXj8wxuJqVMRi8biq1XE4mvUnWrVZ1Jyk/fx+aY/M5Yd43EzrQweGp4LAYaMYUMFluAo831fLsrwGHhSwWV5bhlJxwuXZfh8NgsLB+zw9CnBKIUUUVxnAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAcH+xt/yBPj5/wBnRfF7/wBD0Cun/a//AGqPh9+xx8CfF3xt+IMn2qPSIl0zwl4Wt7hINW8d+OdTjmXw34P0cFJZPtGpXMTz393Fb3X9j6HZ6rrk9vLa6ZOh5j9jb/kCfHz/ALOi+L3/AKHoFfzlftGf8FH/AIHeIP8Agpt4o8QftdeFPir4k+DX7FvjXxh4C+BPwg+HWh+EfEWl6t8WPBvii58Pa/8AFT4gHxV468G200n9saD/AGt4c06yivR5Nl4Xtr37MukaynijyMdm0MrynCfvadGvi5vDYerWv7ChKUpupia2jvChTTn7NXlVnyUkvfco/wBFeFf0fsy8evH3jtf2DnXEvCnh3lWG404v4e4alTXE3FGEw2Ey3DZVwZw8pTh7DMuLM1qUMrqZtUccLkGVyzLO685SwFHC4qP9mbwP+0L4f/4LTfsc/Eb9qTVJLj40ftHfCj4mfH3xF4akgntv+FcaX4n+F37SXhXwl8OltriaWSyXw14U8FaMv9kuI5tAa7bw/d/ab7Srm+u/6/a/jC+Kf/BWT9nTxx/wVP8A2bP24NJ8F/Gq3+E/wc+Cuu/DjxP4e1Hw54Gi+Id9rmqaP8fdPt7rQtJtviPd+G7rSkm+Knh5pp9Q8W6XeLFZ6yyWMj29imo/1+/Cf4j6H8Y/hZ8NPi74YtdVsfDfxU+H/g34j+HrLXYLS11yz0Pxx4c03xNpNrrNtp99qlhb6rb2GqW8OowWOpajZxXiTR219dwqlxJy8JV8FbN8LhcX9acc0q4hTlJzq1qVTDYOH1qcmld1q8Krk9Pf5rJKx97+0T4V8Uo1/o68d8feH74FpYnwG4f4NxOV4LL8NlmQ8NcQ5Pxv4k5nHgXLcHh6s/q1PhzhjMshp4ai3UksvnhJ1sRXxEqs36BRRRX2J/mwFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFfCn/BTH9rjVP2FP2GP2hP2p9B8N23izxH8MfDWgweFdEv5Gj0yXxb4+8ceF/hn4Uv8AWVSSGa50PRPEXjLTNc1ywtri2vNR0jTr2wsru1urmG4i+66K+p4HzjIOHuNeD+IOK+F4cb8LZHxTw/nHEnBdTNK2R0+LsgyzNsJjc44YqZ1h8Ljq+UQz/LqGJyqWaUcFjK2XxxbxdPC4idGNKeGKp1q2GxNHD13ha9WhWp0MSqaqvD1p05Rp11ScoKo6M3Gp7Nyip8vK5JO6/gq/4Jc/8Fx/+CeH7Dvw78eeLvjH4E/bH+MX7Zn7Rni3UPiN+1B8crX4efBe9h8TeJb3UL69sPCvhS+1b4+aLqieCPDX2+7lshc6Po8+q6zqOq6rLpelWMmj6Bofq3/BrR/wUR+Cvw40SD/gnDrnhf4o3Xxw+P37RHxd+Lfg7xVpWieE5/hTpvhzRv2d/B2qXVl4m1y88bWPi6z1uS3+CnipILbS/A2s2DTah4fWTUokutRk0r+3+vxo/wCCHP8AwTv+NX/BM/8AZO+IXwI+O/ij4XeLPF3iz9ojxZ8W9O1H4Sa14s17w5D4c174bfCXwdZ2V7eeMfBPgLU49bj1PwFrE9zbQaPc2CWFzpssWpTXE11a2f8ArFxl9MP6L3i59H76ZuMzDwV4k4N8TPFjP/BjFZVw/mv0gsRxJUzvN8hwfibl3C2e8L4Gh4T8O4DJOEPBCGOyuFTgPB0aWX55kOY5Pw/hMfw9hcrp1qn5/huHM9y/N+GowzOjicFgKOZRqVqeTxoKlTqywE8RRrzeYVpVcTmjhUaxcm50qsKtaUK0qll+y9fwaftZf8Fbv2bvFP8AwWM8Z+KP27vBHxs8Xfs/f8E8/iJ4++GP7NPwG+E/hvwJ4s0bXPjh4A8Z3fhXxR8a/ik3jb4leALOeX+3vDH9t+EtK06DUR9n07wZZ6j9jXQfECeM/wCtf4f/AA//AOCgOnf8FAfjj8Q/iH8cfhdr3/BPHXvhdpOlfAj4EaVpGmw/FbwX8VodN+D8WseJvE2sRfB/RtTutEutT0b4y3EEFx8ZfFkKw+LPD6r4fthbQQeGfvSv5G8AvFjw8+ipxNxDm3FXB+UePeJ8R/BnAZVlWceGvirm/h7nXhWvELLqFfi7KaPEGYeG+e1cv4/w+RV8ZwPxNPKsuf8AY1PHZ1hsg4mxdLGSxc/oc2wGMz6jRp4fE1MpjgsznUqU8bl9PGUsf9Tm1h6jowxtJTwjqqOKoKpP9440pVaEXDlP89341/8ABcb9k74j/wDBaz9kP/go9ofw9/aItfgf8Af2d/Evwk8Y+FdV8J/DaD4ral4j1nQf2n9Ltb3wzodn8Wr7wjeaJHcfGvwq89zqnjnRr9YdP8QNHpsr2unR6r/ed8Efi94Z+PPwS+EXx78JWms6T4N+M/wr8A/F7wzY+KYNPsPEGmeGPiL4S0nxno1r4jttM1PWNKstZstK1i2h1eDT9Y1TT7e9juI7TU762SO6l/Lz41/8E7/jV8R/+C1n7If/AAUf0PxR8LrX4H/AH9nfxL8JPGPhXVda8WQfFbUvEes6D+0/pdre+GdDs/BN94RvNEjuPjX4Vee51Txzo1+sOn+IGj02V7XTo9V/Tf8AaF8I+OvH/wAAvjj4D+F+p6LonxM8bfB/4l+Efh3rPiS71Ow8O6R468SeC9a0bwlqev3+i2OqazZaLYa/e6fdapd6Tpmo6nbWMU81hY3d0kVvJ+lfTL8Ufo5eL+VfRDyDwj4YrcFYnh3wR4S4U4jznMfEzF8b4Tw+yifH/iJWj4dZ7havB/Drxuc8MVM2nxdmHF9OtRlmGWcRYLKVkmG/sxYzFcXDWBznLqnENXMa6xUa2aYivRpwwMcLLGVFg8EvrtKSxNZQpV1T+rQw7TUKlGVT2suflj/PJ/wRjeX9vT9vL/goJ/wVg8Xq+r+HofHU37KX7KT3YaS18N/DHwvb2GpatdaXbS5gsNQ1Hwg3w5urm709QW1Xxh8QlMzf2zfef/T3X5k/8Ehf2HvGX/BPT9hr4d/s3/ErVvBGvfE3SvE/xH8WePdb+HF9rWqeDtS1XxX411e80STSNS8R+GfB+u3ptvBMXhTT9QfU/D9jJDqdneWlq11p9tZ3c/6bV+D/AEy/ELhrxD+kNxzV4Ax1DHeFnAzynwp8I3gpyllcPDPwxyvC8HcK18qUqdJrCZ1hsqqcSVKnsqcsXj86xuOqRVbFVG/W4bwlfB5PhFi4uOPxSqY/MedfvPr2OnLE4iNTf3qUqioJXfLClGCdooKKKK/ls90KKKKACiuA+JvxV+GvwY8Iaj4++LPjvwr8OvBmlbVvfEnjDW7DQtLW4kSR7ewt57+aH7bqt95Ukem6TZC41PU7gC10+0ubl0ib88PFP7anxs+NHmaX+yf8Mf8AhBfBV1mL/hpD9o7w9rei2t5ZS4X+1PhR+z99o0L4g+LfOs7m31LRdd+J+ofCvw+8kRZNJ8T2TeXL6WAynHZi74ejaknaeJqv2WHh096rLRu+nLDnnf7J9TkXB2ecQUZY3DUKeCyajWdHFZ/mtVZfkuHqwjCpVoLGVl/t2Pp0JrErJ8qp4/OsRQjOeDy7EuLR+h/xN+Kvw1+DHhDUfH3xZ8d+Ffh14M0rat74k8Ya3YaFpa3EiSPb2FvPfzQ/bdVvvKkj03SbIXGp6ncAWun2lzcukTfnh4p/bU+Nnxo8zS/2T/hj/wAIL4Kusxf8NIftHeHtb0W1vLKXC/2p8KP2fvtGhfEHxb51nc2+paLrvxP1D4V+H3kiLJpPieyby5fLvDf7PXh2PxfZfFT4r+JPFX7QXxos90ll8T/i9d2et3XheWd4ri4t/hh4MsLLTfh98JNK+1pJLb2nw+8MaHemKZ4tT1TVZC9xJ7/X1+CyDL8Hadf/AIUa61/eRlTwcH/do3VStu1eq4Ruk/ZNH3GEy3hLh20sPh/9bs3hb/hRzahUw3DmFrRt7+XZDzLFZv7KtTjWwuM4irUcDjMNVnhsz4NjJcx+PP7W/wDwSkvv2zfid8FPFPx0/ah+LHxI8H+FNV1fV/jPonjCeA6t8QfMWwutH8O/D9fDi6D4P+DXgpdStrxNV8N+CfCdg11ZX5vZ9SvvEdjpOt6dymmf8ErPAn7QXhjxL8Qf2cfFUX7JP7Tf7Mv7XfxG0b4FfGTwFoqC10DwH4euvDUCfDnxF4bs57CHxB4QtNKudSTRNNnmEdjNe32nXAvPDmv+JdH1X9sa8y/YV/5AP7Sf/Z3/AMbv/Q/Ddf1pwr9Jzxt4D8KJ4XhHjSpkeWeFlbK6PCuRYLJ8ihw5WpcY57mr4up8VcPvLHk/G8eJ8DiXkWff64YLO3mfDmHwWQYp1MpwOFwtL5LiDK8FxNnkMXnlJ4/EZjRlQnUnUqUvqOFy6jB5bgslp0JUqWQ4DLajlWy7AZLDA4PA16lSrhaFKdSTf2vpdvfWmmada6nqH9rajbWNpb6hqv2SKw/tO9ht447vUPsNuzQWf2ydZLn7JAzQ2/meTGxRFNXqKK/z9qTlUqTqSUFKpOU5KnThSppzbk1ClSjClTgm/dp04QpwVowjGKSX1aVkkr2SS1bb07tttvu223u3cKKKKgYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAcH+xt/yBPj5/2dF8Xv8A0PQK+xK+O/2Nv+QJ8fP+zovi9/6HoFfYlaZf/udD/C//AEuR4vi3/wAnE4l/7CMH/wCqzAn5gfFP9ir4p+OP+Cp/7Nn7cOk6/wDD+3+E/wAHPgrrvw48T+HtR1XxHF8Q77XNU0f4+6fb3WhaTbeFLvw3daUk3xU8PNNPqHi3S7tYrPWWSxke3sk1H9P6KKvDYSjhZYqVJSTxeJni63NJyvWnTpUpOP8ALHkowtHo7vqcXGniHxJx7heBcHxDVwlWj4d8DZf4ecNrC4SGFlS4byzOM9z3C0sXKEn9bxax/EeZyni58s50p0aTjakmyiiiuk+GCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKK4D4m/FX4a/BfwdqfxA+LPjrwt8OvBWjqPt/iTxfrNjoelxzOkjW9jBPfTRfbdUvjG0Om6TZLcanqlzttNOtLm6kjhb84PFP7b/xy+NzPpf7IXwrXwV4GumWM/tMftJ6Drmg6be6fKyq+qfCX4BCXRfiF4yM+nXltq/h7xB8R734ZeGZ5reWGTTtctSBJ6OByrHZheWGoSdKMlGeIqfu8PCT2Uq0rRu3pZNvVXVmfWcP8F59xHSnjcNRo4DJqNWVHF8Q5xXjluR4apCMKlWgsbXV8fj6dCaxEcmymlmGeYmjGUsFlmJa5T9IPiZ8Vfhr8GfCOoePfiz488J/DjwZpZVLzxL4y13TvD+kpcSrI1tYw3WozwJd6nemJ49O0qz8/UtSuALawtbi4ZIm/OjxN+258avjbv0z9kf4YDwX4IuSI/8AhpP9pDw7ruh6bfWMwX/iafCb4Bi40H4heMxPZXVvqWi6/wDEfUPhb4ceSJguneJLUtE/kfhj9mnw2PGVj8WvjN4p8VftIfG+yCyWfxN+MFxZasvhSd5La7mg+FfgHT7Sx+Hvwm0pNSgkvbC28E+HdP1S2+0zR3et6i0kk0n0jX1+ByDAYNxqYhLMay15akZ08JB9PcUo1K+js1U5IKUb8tSLsfc4fK+DuHEvqlGXGWcQtfNM1w9TB8MYWtHeWWcPyaxucqlWpxrYXH8R1sLgsXhqs8NmfBUZpTPn/wANfs9eHo/F1j8U/iz4l8U/tB/GqyDSWnxQ+Lt1aazceGJp3iuLmD4X+C7G0sPh/wDCPSftiSTW1l8P/DWi3vlTNFqmravIXuZPoCiivblOU7JtcsVaEIxjCnBaaQpwUYQWi0hFLyMsyzbMc3rU62Y4uriZUKMcNhacuWnhsFhISlKlgsvwlKNPC5fgKDnJYfA4KjQweGi+ShRpw90KKKKg88K8y/YV/wCQD+0n/wBnf/G7/wBD8N16bXmX7Cv/ACAf2k/+zv8A43f+h+G6+iqf8ms8Sv8AsK4H/wDVxjTjn/yM8s/w47/0zA+5aKK5rxf408HfD7QL7xX498WeGvBHhfTFRtS8SeL9d0vw1oGnrIwSNr7WNZurLTrRXchEM9xGGYhVyTiv58wuFxONxNDB4LDV8Xi8VWp4fC4XC0amIxOJr1pKFKhQoUozq1q1Wcowp06cZTnJqMYttI9qc404ynOUYQgnKU5tRjGKV3KUnZJJatt2SOlorxD4YftNfs3fG7ULvSfgv+0H8EPi7qthE1xf6Z8MPiv4D8fahZQIVDzXdl4U1/Vrm2iQugaSaNEUsoLDcM+313Z1kWecOY+plXEOTZrkOZ0oU6lXLs6y7GZXj6dOrHmpTqYPHUaGIhCpH3qcpU0px1i2iKOIoYmmquHrUsRSbaVSjUhVptrdKdNyi2utnoFFFFeUahRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHB/sbf8gT4+f9nRfF7/AND0CvsSvjv9jb/kCfHz/s6L4vf+h6BX2JWmX/7nQ/wv/wBLkeL4t/8AJxOJf+wjB/8AqswIUUUV2H5yFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRXAfE34q/DX4MeENR8ffFnx34V+HXgzStq3viTxhrdhoWlrcSJI9vYW89/ND9t1W+8qSPTdJshcanqdwBa6faXNy6RN+eHin9tT42fGjzNL/ZP+GP/AAgvgq6zF/w0h+0d4e1vRbW8spcL/anwo/Z++0aF8QfFvnWdzb6louu/E/UPhX4feSIsmk+J7JvLl9LAZTjsxd8PRtSTtPE1X7LDw6e9Vlo3fTlhzzv9k+pyLg7POIKMsbhqFPBZNRrOjis/zWqsvyXD1YRhUq0FjKy/27H06E1iVk+VU8fnWIoRnPB5diXFo/Q/4m/FX4a/BjwhqPj74s+O/Cvw68GaVtW98SeMNbsNC0tbiRJHt7C3nv5oftuq33lSR6bpNkLjU9TuALXT7S5uXSJvzw8U/tqfGz40eZpf7J/wx/4QXwVdZi/4aQ/aO8Pa3otreWUuF/tT4Ufs/faNC+IPi3zrO5t9S0XXfifqHwr8PvJEWTSfE9k3ly+XeG/2evDsfi+y+KnxX8SeKv2gvjRZ7pLL4n/F67s9buvC8s7xXFxb/DDwZYWWm/D74SaV9rSSW3tPh94Y0O9MUzxanqmqyF7iT3+vr8FkGX4O06//AAo11r+8jKng4P8Au0bqpW3avVcI3Sfsmj7jCZbwlw7aWHw/+t2bwt/wo5tQqYbhzC1o29/Lsh5lis39lWpxrYXGcRVqOBxmGqzw2Z8GxkuY8A8P/s9eHj4tsfij8W/Evir9oX4yWJaWx+JXxfurHWpfC00zW89xF8MfBGnWOmfDv4Tad9rgM0EHgHwtouoMkjJqmratKZLmT3+iivYbdox0UYq0YRSjCCslaMIpRirJfClew8zzfMs4rU62ZYuriXQpLDYWk+WnhcDhISlOngsuwVGNPCZdgKMpz+r4DA0MPg8PGTjQoU46BRRRSPNCiiigAooooAK8y/YV/wCQD+0n/wBnf/G7/wBD8N16bXmX7Cv/ACAf2k/+zv8A43f+h+G6+iqf8ms8Sv8AsK4H/wDVxjTjn/yM8s/w47/0zA+5a/DD9sT/AIJUfE7/AIKC/tz6H44/am+Jmk3H7Anwv8B21t8Mfgb4A8ceMdJ8ea78R5rbS313WfHGmP4NsvDeh2er39/4itbvxF4a8a6l4pl8O+G/B2kWY0karrEuk/ufXC/Ev4nfD34NeBfEnxN+KvjLw98P/AHhDTpNU8SeLfFOp22k6LpVmjLGrT3dy6K9xdXEkNnYWMAlvtSv7i20/T7e5vbmC3k+Y8DfFvxN8G+M6/EHg/N4TxC4gyDNOBsgzfA5R/avFOS1uK5YXAVsdwJUhCpjMo4yxFBVMoyvOMrpyzXD0Mzx1DAOFfFRqQvPcoyvOcFHD5yufLsPiKWPxFGpW9lhK6wnNUjDHptQrYKMrVqtGq1SlKlCVS8YtP8AlS/4K6f8El/2Vf2Fv2Y5v23/ANiT/hMP2ZPjJ+zz40+HGraO2gfEzx94kh8Uv4m8d6F4NU6fP498TeJtc0nxPos/iG31+3uNG1e30y40PSNd0/VNDvkvVvLH+nj9mb4geJviz+zd+z78VPGmnJpHjH4l/BD4UfEDxZpMcLW8el+JfGXgPQPEeu6dHbsqNAllqmpXVssLIrRLEEKqVwPwx/4Rj4kf8F0vi14N8YeLfDfiP4X/APBJ74K+NIvFfgrQ/Elle6D43/bd8d6G9zZWniO60u4WG80H4O6eHvrKCaQRXd3YX2o2NpJJ4p1S/m+F39HFvBBaQQ2trBFbW1tFHb29vbxpDBbwQoscMMMMarHFFFGqpHHGqoiKqqoUAV/V30v/ABI4wxfg54I+DPjpxrmPip9JTgTibj/irjfiXiHOavFXFXhjwjxdguFqHDfghxNxji6+NzDPuJsrzLKM84u4kyvGZjjpcC4vPsJwlVrUc3wedZVlPyfB2W4OGc55nWQ4GnlXDOPwuX4TA4XD0FhMJmmMwc8VLE57hcFCMKeHw1WlWoYPDVYUqax8MPPGKMqM6FatLRRRX+dx+ihRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAHB/sbf8gT4+f8AZ0Xxe/8AQ9Ar7Er47/Y2/wCQJ8fP+zovi9/6HoFfYlaZf/udD/C//S5Hi+Lf/JxOJf8AsIwf/qswIUUUV2H5yFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUVwHxN+Kvw1+C/g7U/iB8WfHXhb4deCtHUfb/Eni/WbHQ9LjmdJGt7GCe+mi+26pfGNodN0myW41PVLnbaadaXN1JHC35weKf23/AI5fG5n0v9kL4Vr4K8DXTLGf2mP2k9B1zQdNvdPlZVfVPhL8AhLovxC8ZGfTry21fw94g+I978MvDM81vLDJp2uWpAk9HA5VjswvLDUJOlGSjPEVP3eHhJ7KVaVo3b0sm3qrqzPrOH+C8+4jpTxuGo0cBk1GrKji+Ic4rxy3I8NUhGFSrQWNrq+Px9OhNYiOTZTSzDPMTRjKWCyzEtcp+kHxM+Kvw1+DPhHUPHvxZ8eeE/hx4M0sql54l8Za7p3h/SUuJVka2sYbrUZ4Eu9TvTE8enaVZ+fqWpXAFtYWtxcMkTfnR4m/bc+NXxt36Z+yP8MB4L8EXJEf/DSf7SHh3XdD02+sZgv/ABNPhN8AxcaD8QvGYnsrq31LRdf+I+ofC3w48kTBdO8SWpaJ/I/DH7NPhseMrH4tfGbxT4q/aQ+N9kFks/ib8YLiy1ZfCk7yW13NB8K/AOn2lj8PfhNpSalBJe2Ft4J8O6fqlt9pmju9b1FpJJpPpGvr8DkGAwbjUxCWY1lry1Izp4SD6e4pRqV9HZqpyQUo35akXY+5w+V8HcOJfVKMuMs4ha+aZrh6mD4YwtaO8ss4fk1jc5VKtTjWwuP4jrYXBYvDVZ4bM+CozSmfP/hr9nrw9H4usfin8WfEvin9oP41WQaS0+KHxdurTWbjwxNO8VxcwfC/wXY2lh8P/hHpP2xJJray+H/hrRb3ypmi1TVtXkL3Mn0BRRXtynKdk2uWKtCEYxhTgtNIU4KMILRaQil5GWZZtmOb1qdbMcXVxMqFGOGwtOXLTw2CwkJSlSwWX4SlGnhcvwFBzksPgcFRoYPDRfJQo04e6FFFFQeeFFFFABRRRQAUUUUAFFFFABXmX7Cv/IB/aT/7O/8Ajd/6H4br02vMv2Ff+QD+0n/2d/8AG7/0Pw3X0VT/AJNZ4lf9hXA//q4xpxz/AORnln+HHf8ApmB9y1/Lb/wV8/Z3/wCCrP7UH7X3gN/g9+yZ4M+P37HvwD/4RvxB4K+HXxJ+Knwz0f4UfGD4i3ugx6j4g8W/EnwNJ8dvhd451xPDWqam/hHSNG1ubTdJNt4d1JorLUfD3jDX4/EH9SVFcX0bvpCZ99GXxHfifwvwT4e8b8QU+HM84dy3D+I2X8S4/L8ifEFKjg8bn+RT4T4r4OzjLOJqWWLHZVgM2oZvzYLBZvmU6FGONlhMZhM+JeHqHE+W/wBl4rHZjgcO8TQxNSWW1MNTqV/q8nOnh66xeExlGrhXV5KtSjKjapOjTUm6fPCf8zlh+0d/wc06VY2WmaZ/wTd/Ys03TdNtLew07TrDxf4Ms7GwsbOFLe0srK0t/wBuiO3tbS1t444Le3gjSGCFEiiRUVVH9DHwX1T4n638HfhPrXxt8OaN4P8AjPq/w08Cap8XfCXhyeK68PeFviff+FtKu/H3hzQrm313xTBcaNoniuXVtM0ueDxN4jhlsbWCSPXdXRl1C49LorXxm8eMr8X8vyjBYH6P/gD4O18rzDE5hiM28HuHeOcmzXPPrND2Lwed1+LfEPjWhicHRnfE0Y4XDYOusS3OpiKkH7MWS5BVyepWqVOIeIc5jVpxpxo5zicDXpUOWV+ehHCZdgpRm17rc5Tjy7RT1Ciiiv59PoQooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDg/wBjb/kCfHz/ALOi+L3/AKHoFfYlfHf7G3/IE+Pn/Z0Xxe/9D0CvsStMv/3Oh/hf/pcjxfFv/k4nEv8A2EYP/wBVmBCiiiuw/OQooooAKKKKACiiigAooooAKKKKACiiigAorgPib8Vfhr8GPCGo+Pviz478K/DrwZpW1b3xJ4w1uw0LS1uJEke3sLee/mh+26rfeVJHpuk2QuNT1O4AtdPtLm5dIm/PDxT+2p8bPjR5ml/sn/DH/hBfBV1mL/hpD9o7w9rei2t5ZS4X+1PhR+z99o0L4g+LfOs7m31LRdd+J+ofCvw+8kRZNJ8T2TeXL6WAynHZi74ejaknaeJqv2WHh096rLRu+nLDnnf7J9TkXB2ecQUZY3DUKeCyajWdHFZ/mtVZfkuHqwjCpVoLGVl/t2Pp0JrErJ8qp4/OsRQjOeDy7EuLR+h/xN+Kvw1+DHhDUfH3xZ8d+Ffh14M0rat74k8Ya3YaFpa3EiSPb2FvPfzQ/bdVvvKkj03SbIXGp6ncAWun2lzcukTfnh4p/bU+Nnxo8zS/2T/hj/wgvgq6zF/w0h+0d4e1vRbW8spcL/anwo/Z++0aF8QfFvnWdzb6louu/E/UPhX4feSIsmk+J7JvLl+OPjXcfA39lPwze/tZftY+OvGXxy+Inh6aGz0X4g/E2TT/ABP4oTxJqxN1a+E/gb8PLWHRPh38MpL+5tL27tLDwHoPhlrXTYtQvvEmv3NjZX+pp8VeHP8Agsx4nvobbx54p/YN/aF8Ofs9TulxL8cNOj1rxDo9nokjoBrc8D/DzRfCr2kUTNPcC18f3AWJCLaS6kZUPtey4byOtTpZlio4zGuCq+zlRxEsLRhe3tKlKjCc/ZXvH2uLlRpXjfkaTHm/Gvg74ZZjh8rzbNKfEXFE8PHF+2zLLM0q5BltHndNY+OQ5dhsVXq4OniaPtcLm/GWIwGUYzCzrUMz4Ri6cpr9S/D/AOz14ePi2x+KPxb8S+Kv2hfjJYlpbH4lfF+6sdal8LTTNbz3EXwx8EadY6Z8O/hNp32uAzQQeAfC2i6gySMmqatq0pkuZPf6/Ov9mT/goX4T/aq/aV+MHwU+Gvg+1v8A4d/DDwlYeJ9K+NFt4wlvIfGz38/hq1js7XwXJ4RsH0e2Nxq2sot7ceKLy5K6HEZdKgl1KaHS/wBFK+jwmOw2Po+1wdWNbD06lWhF04OFFToy9lUVKPLCDgpQsp006c0lKEpKzPdwfHWH8QMOs5wWdf23gcJXxmT4WtSp1KGXYRZZi62Hr4DJ8N7DDYPDZVhcSqsMJSymhTynk97Ac1CUZMooorpOkKKKKACiiigAooooAKKKKACiiigAooooAK8y/YV/5AP7Sf8A2d/8bv8A0Pw3XpteZfsK/wDIB/aT/wCzv/jd/wCh+G6+iqf8ms8Sv+wrgf8A9XGNOOf/ACM8s/w47/0zA+5aKKK/nU9wKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDg/wBjb/kCfHz/ALOi+L3/AKHoFfgN8Gfgz+2H+3d+2F/wUb8MeGP+Cjf7Sv7PXhv9nr9pXxboXh7w9oXiz4oeKtDl0PxV8UfjNp+k6No2k6f8Zvh/YeFNK8KWHw/t7HTtOsre9tGs72G2todNh01Euf35/Y2/5Anx8/7Oi+L3/oegV/ON+zV8PP8AgoZ48/be/wCCp/8AwwZ8dvhV8FP7K/aq8V/8LV/4Wbo+mar/AMJN9u+Lnx8/4Qb+xP7R+Dfxb8j+xvsfjD+0vJ/4R/zf7VsPM/tXy0/s35jNeWUOHqdShjMVRqV8aquFwNSdLEV1HCV5wUZQxGGdqc1GrL99D3IS+L4Zf3X9H367hcx+mNnWScVeG/AHE2TcHeFlXIePvFTJctzzhDharjfEDhHL8xq47DZnwjxzRhUzjKsTjMhwc48NZhL6/mWDd8JyrH4X3/8AaU+Bf/BSf/gmZ8Nbj9q7wp/wUR8eftM+D/h/r3hRPiD4B+Mtn4pudOudE8SeI9N8K2ixaV4w+I/xNi1G1vNa1vStM1E6NqXhfX7C2v31XS9RjnsPNi+nv2z/AI3/ABo8e/Fj/gil8QvhD4t+JHw28DftAfEzwt4n+JXgrw1438Q+HNP8ReGvFk/7P/j+Pwr4+0vRr/TbDxdY6b4RHjiynstbs7uz+z3GsWotki1W6il+EP21PgP/AMFbPCvgPSPid+2x45+Hv7ZP7NHwt8QaR44+KXwd+FXiQfDvT9W0DRrrfJd+Lrfwr8IvhLq2paRp0kqXdxfWtt4nbQo1/tm4sYrCwu7u1/o7+A3i/wCCH7UnwX+Avx58I+CvDd/4ZfRLLxb8LY9c8M6Hc6r8MdWisLzwrqen6A7WtzH4Z13w4Y9Y8G3114cngTyba9srW6l06YeZngaDxWIzHLqDzHK6MqeW4ijgcxq16uIXsMbGricTQnOtiFGhVjCGGlGGJqXqNupGEXGL9fxT4vpcC8JeDPjPxbhvBfx94jwmd+NvBfEXil4N5FwrkfBdSPFnhdXyHgvgTizLMu4b4RrYzizh7HZlmXHGBzDNeCckjSyaGHw+SYnM8TTx+KofSlFFFfdn+ToUUUUAFFFfIX7dH7Xfhr9h79m3xp+0H4j0EeMJvD13oGi+GvA666vhq58Z+JvEesWum2ei2utvpOurp5gsX1LXr25Gkag8Ok6LqEsdrNIio22Hw9bF16OFw9N1a+Iqwo0aaaTnUqSUIRvJqMbyavKTUYrWTSTZMpRhGU5O0Yptvslq/wClr2Pr2ivzz/4Jy/t/aN/wUB+F3jjxp/wrm5+Dvjf4b/EG98B+NPhjqPih/FuqaKyafZ3+k6vPqUvhfwdcRwas0mq6cLO60K1uLPVPD2sWjmUQLK/2h8Tvid4E+DXgTxF8Tfib4itfCXgTwlawX3iTxJfQX1zZaPZXN9a6dHd3cenWt7drard3tutxcLbvFaRO91dPDawzTR64nA4vCYueAr0JxxlOpGlKhHlqzdSfLyRg6TnGo580eR03JT5lyt3Qo1ITgqkZJwavzO6Vlu3e1rdb2t1O8or5o+Ln7ZP7LHwHbwwvxd+O/wAOPAp8aeFNY8ceE21fX4Hj8Q+E9EsE1G41zSpbEXcV3Z38MsNv4b8tzL4v1WaDRPCkes6zNFYP+eXjf/gop8dPjv5mj/sWfCYeCPAN4XhP7Uv7Seh6no+n6hps2+H+2fgz8Bo59P8AGni/7XpepaT4q8G+LPiPd+C/Ct3LZahouteGrrIJ0w2WY7FOPs6E4wkuZVaq9lS5eeVPm9pU5Ytc8JQvHm9+Ljunb6vIuD86z/DVMyoU6GX5Fhq7w2M4jzevHLsiwuIhThXqYVY2qm8fmUMNNYqOSZTSzDPcTh1KpgssxNrH6ufFf4w/Cv4F+DNQ+Ifxj+IPhL4aeCtMJjufEXjHW7HRLCS7+zXN3DpWnteTRy6trl9DZ3P9l6DpUV5rOrSwtbaZYXdyViP5KfEb/gqD8SPiN4h8FeEv2W/hFqXgn4d/EjxfF4C0n9rL9ojw5qWleGhqWo6PresaPqngH4DDUfD3xC8U6R4qsbCxg8D+LvHepfD7Q7nxRqmmaJqGgX6XBDeG+Hv2cNCuPGlr8Xvjf4u8W/tK/HKDE1v8TvjFd2+sp4Wnku7fV5rP4VeAraC38CfCfQLbX47rVtB0rwfodre6Eb+5tINZuIHO7U/afsLy7+APxR1HSo/N8QeDvDFx8S/CgBKOvjL4WT2/xG8HukihmiZfEvhfS/3qAsgyQD0P0VPKsJl9KeIqRhmNelB1fZ1IVI4S9P33BQUoVa3PFOneooRjK0lTmtH6OZYjhfhHL8ZjMnwz4xzrL6E8ZHMM4ws8Nw3Gpg4/WKtDLeHm/rma+0nh3HCZlxBXoYSvhsVOlmPBSq04t+4+Gv2evD0fi6x+KfxZ8S+Kf2g/jVZBpLT4ofF26tNZuPDE07xXFzB8L/BdjaWHw/8AhHpP2xJJray+H/hrRb3ypmi1TVtXkL3Mn0BWfpGqWmt6Vpms2DmSx1fT7LU7KQjBktL+2jurZyATgtDKjEZOM9TWhX1LqSqKOq5EvcjFRjTjFpaU4QUYQi0lpCKR9Nj84x+dTo4nHYypi1ToQoYOPuwwuDwUXKdHB5dhKMaeEy/L6PtJfVsDgqNDB4eEuShRpwtE/Cn/AILHW+naz8WP+CcfhPxuyf8ACn/Ef7Q11b/EuO9cJpD6cfEnwl01m1IuGjCL4X1jxou+RHCW0l7xtLBv3L+wWP2H+zPsVp/Zv2T7B/Z/2aH7D9h8n7P9j+ybPs/2T7P+4+z+X5Pk/utmz5a+Wf2zP2RvAf7Z/wAGb/4T+NL260C9t9Rt/Efgrxlp9tFeah4R8V2NtdWlrqS2UstvHqmm3NpfXmnazo0lzarqGn3Un2e70/UoNP1Oy/NLTP2HP+CsV/okXwb8Vft9eE7P4H/ZU0K41rQrDUdR+K03htUS0e2Oq3PgDQvFDTy2HmQPHP8AFydWGIZrqeJnNfLT+u5bm2Z4mnlmIzGlmkcHKjUws8OpUquGw/1d4fE+3rUnTotr2saseeMfa1Lxbul+B4mXEnBnHnGmcYXgrN+L8BxtR4erZdi8jr5RGpgMbk+VLKamU5us0x+BeDy+c6ax9LH0vrFGm8ZiVKlKoppcR/wRs0P4f6N+1L/wUfsfActqvhnQfiPpmh/DuCwaN7CT4fxfET4xQ6fLZskYV7WHT9O8NJbNGUjMM6ny2BTZ/QrX5I/sKf8ABOzxh+xR+0j8cvFOg+JvC+r/ALP3j/whpejeCtOk1vXbv4l2ep6Vf6Pf2r+KtOm8J2Ph0wR/aPFcIv8ATPE1zIwfTXGlRLe3EWlfrdXRwzhsRg8pp4bFYdYatSxOO5qcdYWqYyvVhKm1pKm4TiqcrK8UtEz1/BbJs24e4CweTZ5lMcmzLBZzxP7bB0mpYfkxXEWZ47D1cJUXu1cHLD4qlHC1FGHPQhBuEXdBRRRXvn6sFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFeZfsK/8gH9pP/s7/wCN3/ofhuvjj9un9unXf2G9d+Cvi3xb8FfEHiz9mfxZ4gvfDnxq+NXhy9a/vPg3eX7Wlp4RurrwjaWk97qGmahezzyX9/JPbRNFbf2VpX2zxHeaVpWpfMWmf8FU/An7PvhjxL8Pv2cfCsX7W37Tf7TX7XfxG1n4FfBvwFrSG11/wH4huvDU6fEbxF4ks4L+Hw/4Qu9KttSfRNSnhMd9NZX2o3Bs/DmgeJdY0r+m+E/oy+NnH3hRVxPCPBdXO8t8Ua+WVOGM8wmbZG+H8NDg3Pc1XF8uLM+nmUcp4F/1XwOG/t3Plxli8jllnDeJwPEGKUMpx2ExdX5TH8UZHgM1UMZjo0KuVKosVQnSr/WJPG0KLwf1TDqm62P+tVJ/V8P9ShX9riY1MNC9anOC/pJoqjpdxfXemaddanp/9k6jc2NpcahpX2qK/wD7MvZreOS70/7dbqsF59jnaS2+1wKsNx5fnRqEdRV6v8/6kJUqk6cnBypzlCTp1IVabcG4twq0pTpVYNr3alOc6c1aUJSi0390ndJq9mk9U09e6aTT7ppNbNXCiiioGFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFfC/7Yn7Ymsfsf6x8JvE3ib4Ta34l/Z/8S63d6F8WfizoV015dfCq5vTbW3hi5ufDFtbTXd9p19dzTPe3rzQRGOD+ztO+1a7dabpt/hicTRwlGVevJwowceefLKSgpTjDnlyqTjCLknObXLTgnObUYtr6rgvgviPxC4jwPCXCWBp5nxDmdPGyyzLJY3A4GtmVbA4HE5hLAYCWYYnC0sXmmLpYWdDK8roTnj81x88Pl+X4fEYzEUaM/qz9jb/kCfHz/s6L4vf+h6BX8437NX/BR34If8E/f23v+Cp//C5fC3xV8S/8Lb/aq8V/8I5/wrLQ/COs/Yv+ED+Lnx8/tj+2/wDhKvHPgz7N9p/4TPS/7N+wf2l53kX/ANq+x+Vb/av0K07/AIKQ+Dfgh4d1/wAD/Abw3H+01+0L+0H+0/481X4OfCrwXqyG21rwZrlz4flXx3ruv2kV5Fonhe506DUG0i/miKXktpeX05tdB0XX9U03959OnvLnT7C51Cx/sy/uLO1nvtN+0xXv9n3ksCSXNj9sgCw3f2SZng+0wqsU/l+bGAjgV5UKSzRYF5fmMMPi8olOrOf1R4yinjKNaiqTftaFL2nsZObgqkpwU6cpRipxb/fcZn1TwEl4p0vGTwazXi/w++kbluT5FgMpj4hUPDfiSph/DbiPhjiOed4fD/6u8T57DKJ8RZfh8soZhicnwGXZjicuzjBYLHYqtgMdSofzTftEf8FltD/bJ+CnxH/Zs/Yw/Zl/aM8e/Ez41+E9c+F11ceJfCHhqHTPDnh7xzp9x4e1/UxB4K8XePJbm5fQrzVbeC41aXw5pOjSONcv9Va102e1m/aj9gj9nrV/2Vf2QPgX8BvEN1Bd+JfA/hW7m8UvaTC5s4PFXi/xFrXjjxPp9jdL8t5Y6Xr3iXUdMsrxQi3draQ3IjjEoRfr2ivUwWW4iji54/HY769inh/qlJww0MJRo4d1FVnGNKNSq5TqVIwlOc6jdoKMUlofg/id438I8R+HeW+EvhV4VR8KuAaPGX/EQc8w2Y8bZj4hcScScW0MlxHDuWYzHZ/jco4fw+Ey7J8nx2ZYbA5Xl+TYen7TMcTisTWr1584UUUV7B/OAUUUUAFfz3f8FGCP2zv+CkP7FP8AwT+sf+Jr8PPhpfP+01+0TZJm401rDTIbi40Tw/rsYBNrNP4a0680OKTaQyfGDSm3puLJ+/ev69o/hbQta8T+IdQttI0Dw5pOpa9rmq3j+XaaZo+kWc2oanqF1Jg7Laysree5nfB2xRM2Div5Gf2S/wBir9pb/gpd46/aH/4KK+Df2xfib+xtdfF34veNPCXhB/Aeg+KLnxP4k+GOhvoCaTpl14j8L/Fr4aXK+GvD0OmeH/CMWmu2qW95q/gie6mEElhaFvq+F6VGlPH5risVDA0sFhZ4fDYupSrVo08xx8KlDDSVOhCpVnKlSWIrLki+ScKcpcq95cmKcmqdKMHUc5qUoJxi3TpuMpayaSu+WO6um0fc/h/P7DX/AAXC8R6C/wDxKfgv/wAFIvAg1/Tm/wCPfR7b436HJeXcySykD7TrV94ps/EQSFUYC5+M+lqX+9s/cD44XPju2+Efj8/DL4eeHPiv47ufDl5pvhv4eeMNXsdD8JeJ73VtmlyWXinUdRimtB4chtLy4vtbsmjaXVdMtbrSrXbdXsLD+Wf9u3/glZ+158Afg237Xerf8FC/i/8AtWeLP2WNa0H4meEPDHxH8PeNLi78LR23inw1PrnivwvrPin43/EZNIm0L+zdK8S63b2ukWy6lpfhxmuLwSafaRt/UL+zn8afD/7RfwI+Evxz8LmJdH+KHgTw94uS0il8/wDsnUNSsIm1vQJ5Rw174d1tNR0K/AyFvdOuEBYLk6Z/Tw0qGT5rhMVRzONOnDLMdWjSxVCnUxOXxpyw/tYVo4fEJ18DKlTlKLjzfV6jhUUk2lh3LmrUZwlSbbqwi3GTUKmknFxco+7U5nbpzRTR/Pf4Z/4IFXth8evht4g+I3xW+IninwXd+CJbnVPGfwc8b6N8LNY/Z8+JugXEmuaVofw70HxZ4a8c3Wp/CKe5um0fwBZ6DcaH4i8Ez2v23UA1nMAPvn/hzj8Of+j1f+CjP/iSul//ADtq/X+iuSpxbn9TltjnSsveVKjRhGc29as4+zcfaOCp03KEYKUKVNyTmpTl9vguOOLMvy/AZVhs7xSy7K6NTD5bhatPDYingcPVxFbF1KGGeIoVZ0qM8XiMRiXTUuX21arPeTPyA/4c4/Dn/o9X/goz/wCJK6X/APO2qpf/APBGP4W6pY3umaj+2X/wUTvdP1G0uLG/srn9pLSZbe7s7uF7e6tbiJ/hqVkhuIJHiljYFXjdlIIJr9iqKy/1oz96PMqrW1vZ0P8A5UbPj/i6ScZZu5RknGUXgstaaas008HZprRp6NH5X6b/AMEofh9o+nafpOm/tb/t62enaXZWunWFpb/tDWcNva2VlBHbWttBDF4DSKKGCCKOKKKJEjjRVVFVQALv/DrLwX/0d/8At9/+JF2//wAw1fqHRWi4t4iSSWaV0lokoUEklskvZHVHxN45jGMY5/WjGKUYxWDy1KMYpJJJYOySSSSWyS7H5ef8OsvBf/R3/wC33/4kXb//ADDUf8OsvBf/AEd/+33/AOJF2/8A8w1fqHRR/rdxH/0Na/8A4BQ/+VFf8RO46/6KCv8A+EmXf/MfkvuPy8/4dZeC/wDo7/8Ab7/8SLt//mGo/wCHWXgv/o7/APb7/wDEi7f/AOYav1Doo/1u4j/6Gtf/AMAof/Kg/wCIncdf9FBX/wDCTLv/AJj8l9x+Xn/DrLwX/wBHf/t9/wDiRdv/APMNR/w6y8F/9Hf/ALff/iRdv/8AMNX6h0Uf63cR/wDQ1r/+AUP/AJUH/ETuOv8AooK//hJl3/zH5L7j8vP+HWXgv/o7/wDb7/8AEi7f/wCYaj/h1l4L/wCjv/2+/wDxIu3/APmGr5B/4Lyf8Fdbj/gnZ8GtO+GPwL1rT/8Ahr74vWH2/wAITSabpPiKD4Q/D6DURYap8VNf0LWLTU9Iu7vUNQjl8M+AdK1/TrnSNW1satqt7b6jY+FrzRtV/V79h34jeMvjB+xV+yB8W/iLrH/CRfEH4pfsufs//EXx34g/s/StI/t3xl43+E/hLxN4n1j+ytCsdM0TTP7T1vU769/s/R9N0/SrLz/s2n2NpaRwwR/uvEvhF438H+BHAP0iOJKtLKeAfE/i3PeEuCaOLnUp8QZ0+HsFTxWN4io5e8s+qQ4Zq13icswOOnmKxeLx2AxkqWX/AFBYfHYjyaHjPxbiM2xeTUeI8TUxeBw9LEYlxweWOjS9tLlhRc/qvM66XLOUVDljCUbz57xXy/8A8OsvBf8A0d/+33/4kXb/APzDUf8ADrLwX/0d/wDt9/8AiRdv/wDMNX6h0V+Ff63cR/8AQ1r/APgFD/5Uet/xE7jr/ooK/wD4SZd/8x+S+4/Lz/h1l4L/AOjv/wBvv/xIu3/+Yaj/AIdZeC/+jv8A9vv/AMSLt/8A5hq/UOij/W7iP/oa1/8AwCh/8qD/AIidx1/0UFf/AMJMu/8AmPyX3H5ef8OsvBf/AEd/+33/AOJF2/8A8w1H/DrLwX/0d/8At9/+JF2//wAw1fqHRR/rdxH/ANDWv/4BQ/8AlQf8RO46/wCigr/+EmXf/MfkvuPy8/4dZeC/+jv/ANvv/wASLt//AJhqP+HWXgv/AKO//b7/APEi7f8A+Yav1Doo/wBbuI/+hrX/APAKH/yoP+Incdf9FBX/APCTLv8A5j8l9x+Xn/DrLwX/ANHf/t9/+JF2/wD8w1H/AA6y8F/9Hf8A7ff/AIkXb/8AzDV+odFH+t3E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 <!-- resourceid-resourcedataid: 20567-16019 -->
 <question type="shortanswerwiris">
    <name>
      <text>1MA.01.1.16Q TRectanglesSemblants</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="color: #003300;"><strong>Si l'altura d'una piràmide és de D =139 m, </strong></span><br /><span style="color: #003300;"><strong>i, a la mateixa hora, un pal de #A cm projecta una ombra de #B cm, quina és l'ombra de la piràmide en metres?</strong></span></p>
<p><img 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    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text>#sol</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;wirisCasSession&gt;&lt;![CDATA[&lt;session lang="ca" version="2.0"&gt;&lt;library closed="false"&gt;&lt;mtext style="color:#ffc800" xml:lang="ca"&gt;variables&lt;/mtext&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;repeat&lt;/csymbol&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;A&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;50&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;150&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;r&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;11&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;19&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;mn&gt;10&lt;/mn&gt;&lt;/mfrac&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;B&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;A&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;r&lt;/mi&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;D&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;139&lt;/mn&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;C&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;D&lt;/mi&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;r&lt;/mi&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;r_1&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;A&lt;/mi&gt;&lt;mi&gt;D&lt;/mi&gt;&lt;/mfrac&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;r_2&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;B&lt;/mi&gt;&lt;mi&gt;C&lt;/mi&gt;&lt;/mfrac&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd/&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;mrow&gt;&lt;mi&gt;C&lt;/mi&gt;&lt;mo&gt;⩾&lt;/mo&gt;&lt;mn&gt;105&lt;/mn&gt;&lt;/mrow&gt;&lt;/apply&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;sol&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mi&gt;arrodoneix&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;100&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;C&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mrow&gt;&lt;mn&gt;100&lt;/mn&gt;&lt;/mfrac&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mn&gt;1&lt;/mn&gt;&lt;mo&gt;.&lt;/mo&gt;&lt;mn&gt;0&lt;/mn&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/library&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;A&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;B&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;116&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;208.8&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;sol&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;250.2&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;/group&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"/&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/session&gt;]]&gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer&gt;#sol&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="tolerance"&gt;10^(-1)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;true&lt;/option&gt;&lt;option name="precision"&gt;8&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputField"&gt;inlineEditor&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><span style="color: #000080;"><strong>Primer calculem la raó #B/#A = #r que ens dona la proporció entre l'ombra d'un objecte qualsevol i l'objecte</strong></span><br /><span style="color: #006600;"><strong><span style="color: #000080;">Com que els triangles són semblants, la proporció entre l'ombra de la piràmide i la piràmide és la mateixa: C/#D = #r i permet calcular C.</span> </strong></span></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 20568-16020 -->
 <question type="description">
    <name>
      <text>1MA.01.1.20DT TEOREMA DE PITÀGORES</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<table style="border: 4px solid #006600; width: 400px; margin-left: auto; margin-right: auto; height: 104px; background-color: #ffffcc;" border="4">
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<td style="background-color: #003300;" colspan="2" align="center" valign="middle"> 
<p><span style="font-size: large; color: #ffff99;" data-mce-mark="1">Teorema de Pitàgores</span></p>
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<p><span style="font-size: large; color: #003300;" data-mce-mark="1"><strong><img alt="" 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<td align="center" valign="middle">
<p><span style="font-size: large; color: #003300;" data-mce-mark="1"><strong>«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»a«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«msqrt mathcolor=¨#003300¨»«msup»«mi mathvariant=¨bold¨»b«/mi»«mn mathvariant=¨bold¨»2«/mn»«/msup»«mo mathvariant=¨bold¨»+«/mo»«msup»«mi mathvariant=¨bold¨»c«/mi»«mn mathvariant=¨bold¨»2«/mn»«/msup»«/msqrt»«/math»<br /></strong></span></p>
<p><span style="font-size: large; color: #003300;" data-mce-mark="1"><strong>«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»b«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«msqrt mathcolor=¨#003300¨»«msup»«mi mathvariant=¨bold¨»a«/mi»«mn mathvariant=¨bold¨»2«/mn»«/msup»«mo mathvariant=¨bold¨»-«/mo»«msup»«mi mathvariant=¨bold¨»c«/mi»«mn mathvariant=¨bold¨»2«/mn»«/msup»«/msqrt»«/math»</strong></span></p>
<p><span style="font-size: large; color: #003300;"><strong>«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»c«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»=«/mo»«msqrt mathcolor=¨#003300¨»«msup»«mi mathvariant=¨bold¨»a«/mi»«mn mathvariant=¨bold¨»2«/mn»«/msup»«mo mathvariant=¨bold¨»-«/mo»«msup»«mi mathvariant=¨bold¨»b«/mi»«mn mathvariant=¨bold¨»2«/mn»«/msup»«/msqrt»«/math»</strong></span></p>
</td>
</tr>
</tbody>
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 <!-- resourceid-resourcedataid: 20569-16021 -->
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      <text>1MA.01.1.21Q Pitàgores: calcular a</text>
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      <text><![CDATA[<p><span style="font-weight: bold; color: #003300;">En un triangle rectangle, els dos catets b i c mesuren respectivament «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨14px¨»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»b«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»i«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»c«/mi»«/mstyle»«/math».</span><br style="font-weight: bold; color: #006600;" /><span style="font-weight: bold; color: #003300;">Quant mesura la hipotenusa a?</span><br /><br /><span style="font-weight: bold; color: #ff6600;">Format de la resposta:</span> arrel simplificada</p>]]></text>
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      <text>#sol</text>
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    </answer>
    <wirisquestion>
&lt;question&gt;&lt;wirisCasSession&gt;&lt;![CDATA[&lt;session lang="ca" version="2.0"&gt;&lt;library closed="false"&gt;&lt;mtext style="color:#ffc800" xml:lang="es"&gt;variables&lt;/mtext&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;repeat&lt;/csymbol&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;6&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;11&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mn&gt;8&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;11&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;sol&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;msqrt&gt;&lt;mrow&gt;&lt;msup&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;msup&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;/mrow&gt;&lt;/msqrt&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd/&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;mrow&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mi&gt;sol&lt;/mi&gt;&lt;mo&gt;∉&lt;/mo&gt;&lt;rationals/&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;mo&gt;∧&lt;/mo&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mi&gt;sol&lt;/mi&gt;&lt;mo&gt;&amp;lt;&lt;/mo&gt;&lt;mn&gt;100&lt;/mn&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/mrow&gt;&lt;/apply&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/library&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;36&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;80&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;sol&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;msqrt&gt;&lt;mn&gt;481&lt;/mn&gt;&lt;/msqrt&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;/group&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"/&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/session&gt;]]&gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer&gt;#sol&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="check_simplified"/&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;option name="precision"&gt;4&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputField"&gt;popupEditor&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><span style="color: #0000ff;"><strong>Cal aplicar el teorema de Pitàgores:</strong></span></p>
<p>«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mrow»«mi mathvariant=¨bold¨ mathcolor=¨#007F00¨»a«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#007F00¨»=«/mo»«msqrt mathcolor=¨#007F00¨»«msup»«mfenced»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b«/mi»«/mrow»«/mfenced»«mn mathvariant=¨bold¨»2«/mn»«/msup»«mo mathvariant=¨bold¨»+«/mo»«msup»«mfenced»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»c«/mi»«/mrow»«/mfenced»«mn mathvariant=¨bold¨»2«/mn»«/msup»«/msqrt»«/mrow»«/mstyle»«/math»</p>
<p><span style="color: #0000ff;"><strong>Recorda de posar TOT el radicand entre parèntesis a la calculadora... I SIMPLIFICA</strong></span></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 20570-16022 -->
 <question type="shortanswerwiris">
    <name>
      <text>1MA.01.1.22Q Pitàgores: calcular b</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #003300;">En un triangle rectangle, la hipotenusa a i el catet c mesuren respectivament «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold-italic¨ mathcolor=¨#003300¨»a«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»i«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»c«/mi»«/mstyle»«/math».</span><br style="font-weight: bold; color: #006600;" /><span style="font-weight: bold; color: #003300;">Quant mesura el catet b?</span><br /><br /><span style="font-weight: bold; color: #ff6600;">Format de la resposta:</span> arrel simplificada</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text>#sol</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;wirisCasSession&gt;&lt;![CDATA[&lt;session lang="ca" version="2.0"&gt;&lt;library closed="false"&gt;&lt;mtext style="color:#ffc800" xml:lang="es"&gt;variables&lt;/mtext&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;repeat&lt;/csymbol&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;29&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;29&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;msqrt&gt;&lt;mrow&gt;&lt;msup&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;msup&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;/mrow&gt;&lt;/msqrt&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;mrow&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;∉&lt;/mo&gt;&lt;rationals/&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;mo&gt;∧&lt;/mo&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;≠&lt;/mo&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/mrow&gt;&lt;/apply&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;sol&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/library&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;11&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;26&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;msqrt&gt;&lt;mn&gt;797&lt;/mn&gt;&lt;/msqrt&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;sol&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;11&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;/group&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"/&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/session&gt;]]&gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer&gt;#sol&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="check_simplified"/&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;option name="precision"&gt;4&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputField"&gt;inlineEditor&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #000080;">Apliquem el teorema de Pitàgores:</span></p>
<p><span style="font-weight: bold; color: #000080;">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mi mathvariant=¨bold¨ mathcolor=¨#000066¨»b«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»=«/mo»«msqrt mathcolor=¨#000066¨»«msup»«mfenced»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a«/mi»«/mrow»«/mfenced»«mn mathvariant=¨bold¨»2«/mn»«/msup»«mo mathvariant=¨bold¨»-«/mo»«msup»«mfenced»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»c«/mi»«/mrow»«/mfenced»«mn mathvariant=¨bold¨»2«/mn»«/msup»«/msqrt»«/mstyle»«/math»</span></p>
<p><span style="font-weight: bold; color: #000080;"> i simplifiquem el resultat.</span></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 20571-16023 -->
 <question type="shortanswerwiris">
    <name>
      <text>1MA.01.1.23Q Pitàgores: calcular c</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #003300;">En un triangle rectangle, la hipotenusa a i el catet b mesuren respectivament «math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold-italic¨ mathcolor=¨#003300¨»a«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»i«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#003300¨»#«/mo»«mi mathvariant=¨bold¨ mathcolor=¨#003300¨»b«/mi»«/mstyle»«/math».</span><br style="font-weight: bold; color: #006600;" /><span style="font-weight: bold; color: #003300;">Quant mesura el catet c?</span><br /><br /><span style="font-weight: bold; color: #ff6600;">Format de la resposta:</span> arrel simplificada</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text>#sol</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;wirisCasSession&gt;&lt;![CDATA[&lt;session lang="ca" version="2.0"&gt;&lt;library closed="false"&gt;&lt;mtext style="color:#ffc800" xml:lang="es"&gt;variables&lt;/mtext&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;repeat&lt;/csymbol&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;29&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;9&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;29&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;msqrt&gt;&lt;mrow&gt;&lt;msup&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;msup&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;/mrow&gt;&lt;/msqrt&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;mrow&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;∉&lt;/mo&gt;&lt;rationals/&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;mo&gt;∧&lt;/mo&gt;&lt;mfenced&gt;&lt;mrow&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;≠&lt;/mo&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;/mrow&gt;&lt;/mfenced&gt;&lt;/mrow&gt;&lt;/apply&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;sol&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/library&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;11&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;26&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;msqrt&gt;&lt;mn&gt;797&lt;/mn&gt;&lt;/msqrt&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;sol&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;11&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;/group&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"/&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/session&gt;]]&gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer&gt;#sol&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="tolerance"&gt;10^(-4)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;false&lt;/option&gt;&lt;option name="precision"&gt;4&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputField"&gt;popupEditor&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
    <hint format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #000080;">Apliquem el teorema de Pitàgores:</span></p>
<p><span style="font-weight: bold; color: #000080;">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mstyle mathsize=¨12px¨»«mi mathvariant=¨bold¨ mathcolor=¨#000066¨»c«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#000066¨»=«/mo»«msqrt mathcolor=¨#000066¨»«msup»«mfenced»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»a«/mi»«/mrow»«/mfenced»«mn mathvariant=¨bold¨»2«/mn»«/msup»«mo mathvariant=¨bold¨»-«/mo»«msup»«mfenced»«mrow»«mo mathvariant=¨bold¨»#«/mo»«mi mathvariant=¨bold¨»b«/mi»«/mrow»«/mfenced»«mn mathvariant=¨bold¨»2«/mn»«/msup»«/msqrt»«/mstyle»«/math»</span></p>
<p><span style="font-weight: bold; color: #000080;"> i simplifiquem el resultat.</span></p>]]></text>
    </hint>
  </question>
 
 <!-- resourceid-resourcedataid: 20572-16024 -->
 <question type="description">
    <name>
      <text>1MA.01.1.50 TEORIA: DEFINICIÓ RAONS</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<div>
<table style="border: 4px solid #006600; width: 400px; margin-left: auto; margin-right: auto; height: 104px; background-color: #ffffcc; border-color: #003300; border-width: 4px;" border="4">
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<td style="background-color: #003300;" colspan="2" align="center" valign="middle"> 
<p><span style="font-size: large; color: #ffff99;">Raons trigonomètriques</span></p>
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<p><span style="font-size: large; color: #003300;"><strong><img alt="" 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/></strong></span></p>
</td>
<td align="center" valign="middle">
<p><span style="font-size: large; color: #003300;"><strong>sin B = b/a (oposat/hipotenusa)</strong></span></p>
<p><span style="font-size: large; color: #003300;"><strong>cos B = c/a (adjacent/hipotenusa)</strong></span></p>
<p><span style="font-size: large; color: #003300;"><strong>tg B = b/c (oposat/adjacent)</strong></span></p>
</td>
</tr>
</tbody>
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 <!-- resourceid-resourcedataid: 20573-16025 -->
 <question type="shortanswerwiris">
    <name>
      <text>1MA.01.1.51Q sinus respecte a costats</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #003300;">En un triangle rectangle, els costats són a = #a, b = #b i c = #c.</span><br style="font-weight: bold; color: #006600;" /><span style="font-weight: bold; color: #003300;">Calcula el sinus de l'angle B.</span><br /><br /><span style="font-weight: bold; color: #ff6600;">Format de la resposta:</span> fracció simplificada</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p><span style="font-weight: bold;">sin B = b/a</span></p>]]></text>
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      <text><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mo>#</mo><mi>s</mi><mo>_</mo><mn>51</mn></math>]]></text>
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 <!-- resourceid-resourcedataid: 20574-16026 -->
 <question type="shortanswerwiris">
    <name>
      <text>1MA.01.1.52Q Sinus respecte a costats_2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #003300;">En un triangle rectangle, els costats són a = #a, b = #b i c = #c.</span><br style="font-weight: bold; color: #006600;" /><span style="font-weight: bold; color: #003300;">Calcula el sinus de l'angle B.</span><br /><br /><span style="font-weight: bold; color: #ff6600;">Format de la resposta:</span> fracció simplificada</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p><span style="font-weight: bold;">sin B = b/a</span></p>]]></text>
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    <answer fraction="100" format="moodle_auto_format">
      <text>#s_51</text>
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        <text></text>
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    </answer>
    <wirisquestion>
&lt;question&gt;&lt;wirisCasSession&gt;&amp;lt;session lang=&amp;quot;ca&amp;quot; version=&amp;quot;2.0&amp;quot;&amp;gt;&amp;lt;library closed=&amp;quot;false&amp;quot;&amp;gt;&amp;lt;mtext style=&amp;quot;color:#ffc800&amp;quot; xml:lang=&amp;quot;es&amp;quot;&amp;gt;variables&amp;lt;/mtext&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;apply&amp;gt;&amp;lt;csymbol definitionURL=&amp;quot;http://www.wiris.com/XML/csymbol&amp;quot;&amp;gt;repeat&amp;lt;/csymbol&amp;gt;&amp;lt;mtable&amp;gt;&amp;lt;mtr&amp;gt;&amp;lt;mtd&amp;gt;&amp;lt;mi&amp;gt;b&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;11&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;99&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/mtd&amp;gt;&amp;lt;/mtr&amp;gt;&amp;lt;mtr&amp;gt;&amp;lt;mtd&amp;gt;&amp;lt;mi&amp;gt;c&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;11&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;99&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/mtd&amp;gt;&amp;lt;/mtr&amp;gt;&amp;lt;mtr&amp;gt;&amp;lt;mtd&amp;gt;&amp;lt;mi&amp;gt;a&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;msqrt&amp;gt;&amp;lt;mrow&amp;gt;&amp;lt;msup&amp;gt;&amp;lt;mi&amp;gt;b&amp;lt;/mi&amp;gt;&amp;lt;mn&amp;gt;2&amp;lt;/mn&amp;gt;&amp;lt;/msup&amp;gt;&amp;lt;mo&amp;gt;+&amp;lt;/mo&amp;gt;&amp;lt;msup&amp;gt;&amp;lt;mi&amp;gt;c&amp;lt;/mi&amp;gt;&amp;lt;mn&amp;gt;2&amp;lt;/mn&amp;gt;&amp;lt;/msup&amp;gt;&amp;lt;/mrow&amp;gt;&amp;lt;/msqrt&amp;gt;&amp;lt;/mtd&amp;gt;&amp;lt;/mtr&amp;gt;&amp;lt;/mtable&amp;gt;&amp;lt;mrow&amp;gt;&amp;lt;mi&amp;gt;a&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;∈&amp;lt;/mo&amp;gt;&amp;lt;naturalnumbers/&amp;gt;&amp;lt;/mrow&amp;gt;&amp;lt;/apply&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;s_51&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mfrac&amp;gt;&amp;lt;mi&amp;gt;b&amp;lt;/mi&amp;gt;&amp;lt;mi&amp;gt;a&amp;lt;/mi&amp;gt;&amp;lt;/mfrac&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;/library&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;a&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;b&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;c&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mn&amp;gt;101&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;99&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;20&amp;lt;/mn&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;s_51&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mfrac&amp;gt;&amp;lt;mn&amp;gt;99&amp;lt;/mn&amp;gt;&amp;lt;mn&amp;gt;101&amp;lt;/mn&amp;gt;&amp;lt;/mfrac&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;/&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;/session&amp;gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;
#s_51
      &lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;localData&gt;&lt;data name="cas"&gt;false&lt;/data&gt;&lt;data name="inputField"&gt;textField&lt;/data&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 20575-16027 -->
 <question type="shortanswerwiris">
    <name>
      <text>1MA.01.1.53Q Cosinus respecte a costats</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #003300;">En un triangle rectangle, els costats són a = #a, b = #b i c = #c.</span><br style="font-weight: bold; color: #006600;" /><span style="font-weight: bold; color: #003300;">Calcula el cosinus de l'angle B.</span><br /><br /><span style="font-weight: bold; color: #ff6600;">Format de la resposta:</span> fracció simplificada</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p><span style="font-weight: bold;">cos B = c/a</span></p>]]></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
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    <answer fraction="100" format="moodle_auto_format">
      <text><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mo>#</mo><mi>s</mi><mo>_</mo><mn>51</mn></math>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;wirisCasSession&gt;&lt;![CDATA[&lt;session lang="ca" version="2.0"&gt;&lt;library closed="false"&gt;&lt;mtext style="color:#ffc800" xml:lang="es"&gt;variables&lt;/mtext&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;repeat&lt;/csymbol&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;11&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;99&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;11&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;99&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;msqrt&gt;&lt;mrow&gt;&lt;msup&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;msup&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;/mrow&gt;&lt;/msqrt&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;mrow&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;∈&lt;/mo&gt;&lt;naturalnumbers/&gt;&lt;/mrow&gt;&lt;/apply&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;s_51&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;/mfrac&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/library&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;58&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;40&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;42&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;s_51&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfrac&gt;&lt;mn&gt;21&lt;/mn&gt;&lt;mn&gt;29&lt;/mn&gt;&lt;/mfrac&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;/group&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"/&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/session&gt;]]&gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;&lt;![CDATA[&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mo&gt;#&lt;/mo&gt;&lt;mi&gt;s&lt;/mi&gt;&lt;mo&gt;_&lt;/mo&gt;&lt;mn&gt;51&lt;/mn&gt;&lt;/math&gt;]]&gt;&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="check_simplified"/&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="tolerance"&gt;10^(-3)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;true&lt;/option&gt;&lt;option name="precision"&gt;4&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputField"&gt;textField&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 20576-16028 -->
 <question type="shortanswerwiris">
    <name>
      <text>1MA.01.1.54Q Cosinus respecte a costats_2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #003300;">En un triangle rectangle, els costats són a = #a, b = #b i c = #c.</span><br style="font-weight: bold; color: #006600;" /><span style="font-weight: bold; color: #003300;">Calcula el cosinus de l'angle B.</span><br /><br /><span style="font-weight: bold; color: #ff6600;">Format de la resposta:</span> fracció simplificada</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p><span style="font-weight: bold;">cos B = c/a</span></p>]]></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
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    <answer fraction="100" format="moodle_auto_format">
      <text>#s_51</text>
      <feedback format="html">
        <text></text>
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    </answer>
    <wirisquestion>
&lt;question&gt;&lt;wirisCasSession&gt;&amp;lt;session lang=&amp;quot;ca&amp;quot; version=&amp;quot;2.0&amp;quot;&amp;gt;&amp;lt;library closed=&amp;quot;false&amp;quot;&amp;gt;&amp;lt;mtext style=&amp;quot;color:#ffc800&amp;quot; xml:lang=&amp;quot;es&amp;quot;&amp;gt;variables&amp;lt;/mtext&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;apply&amp;gt;&amp;lt;csymbol definitionURL=&amp;quot;http://www.wiris.com/XML/csymbol&amp;quot;&amp;gt;repeat&amp;lt;/csymbol&amp;gt;&amp;lt;mtable&amp;gt;&amp;lt;mtr&amp;gt;&amp;lt;mtd&amp;gt;&amp;lt;mi&amp;gt;b&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;11&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;99&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/mtd&amp;gt;&amp;lt;/mtr&amp;gt;&amp;lt;mtr&amp;gt;&amp;lt;mtd&amp;gt;&amp;lt;mi&amp;gt;c&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;11&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;99&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/mtd&amp;gt;&amp;lt;/mtr&amp;gt;&amp;lt;mtr&amp;gt;&amp;lt;mtd&amp;gt;&amp;lt;mi&amp;gt;a&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;msqrt&amp;gt;&amp;lt;mrow&amp;gt;&amp;lt;msup&amp;gt;&amp;lt;mi&amp;gt;b&amp;lt;/mi&amp;gt;&amp;lt;mn&amp;gt;2&amp;lt;/mn&amp;gt;&amp;lt;/msup&amp;gt;&amp;lt;mo&amp;gt;+&amp;lt;/mo&amp;gt;&amp;lt;msup&amp;gt;&amp;lt;mi&amp;gt;c&amp;lt;/mi&amp;gt;&amp;lt;mn&amp;gt;2&amp;lt;/mn&amp;gt;&amp;lt;/msup&amp;gt;&amp;lt;/mrow&amp;gt;&amp;lt;/msqrt&amp;gt;&amp;lt;/mtd&amp;gt;&amp;lt;/mtr&amp;gt;&amp;lt;/mtable&amp;gt;&amp;lt;mrow&amp;gt;&amp;lt;mi&amp;gt;a&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;∈&amp;lt;/mo&amp;gt;&amp;lt;naturalnumbers/&amp;gt;&amp;lt;/mrow&amp;gt;&amp;lt;/apply&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;s_51&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mfrac&amp;gt;&amp;lt;mi&amp;gt;c&amp;lt;/mi&amp;gt;&amp;lt;mi&amp;gt;a&amp;lt;/mi&amp;gt;&amp;lt;/mfrac&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;/library&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;a&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;b&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;c&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mn&amp;gt;58&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;40&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;42&amp;lt;/mn&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;s_51&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mfrac&amp;gt;&amp;lt;mn&amp;gt;21&amp;lt;/mn&amp;gt;&amp;lt;mn&amp;gt;29&amp;lt;/mn&amp;gt;&amp;lt;/mfrac&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;/&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;/session&amp;gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;
#s_51
      &lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;localData&gt;&lt;data name="cas"&gt;false&lt;/data&gt;&lt;data name="inputField"&gt;textField&lt;/data&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 20577-16029 -->
 <question type="shortanswerwiris">
    <name>
      <text>1MA.01.1.55Q Tangent respecte a costats</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #003300;">En un triangle rectangle, els costats són a = #a, b = #b i c = #c.</span><br style="font-weight: bold; color: #006600;" /><span style="font-weight: bold; color: #003300;">Calcula la tangent de l'angle B.</span><br /><br /><span style="font-weight: bold; color: #ff6600;">Format de la resposta:</span> fracció simplificada</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p><span style="font-weight: bold;">tg B = b/c</span></p>]]></text>
    </generalfeedback>
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      <text><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mo>#</mo><mi>s</mi><mo>_</mo><mn>51</mn></math>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;wirisCasSession&gt;&lt;![CDATA[&lt;session lang="ca" version="2.0"&gt;&lt;library closed="false"&gt;&lt;mtext style="color:#ffc800" xml:lang="es"&gt;variables&lt;/mtext&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;apply&gt;&lt;csymbol definitionURL="http://www.wiris.com/XML/csymbol"&gt;repeat&lt;/csymbol&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;11&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;99&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;11&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;99&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;msqrt&gt;&lt;mrow&gt;&lt;msup&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;msup&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;/mrow&gt;&lt;/msqrt&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;mrow&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;∈&lt;/mo&gt;&lt;naturalnumbers/&gt;&lt;/mrow&gt;&lt;/apply&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;s_51&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;/mfrac&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/library&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;73&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;48&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;55&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;s_51&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfrac&gt;&lt;mn&gt;48&lt;/mn&gt;&lt;mn&gt;55&lt;/mn&gt;&lt;/mfrac&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;/group&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"/&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/session&gt;]]&gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;&lt;![CDATA[&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mo&gt;#&lt;/mo&gt;&lt;mi&gt;s&lt;/mi&gt;&lt;mo&gt;_&lt;/mo&gt;&lt;mn&gt;51&lt;/mn&gt;&lt;/math&gt;]]&gt;&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="check_simplified"/&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="tolerance"&gt;10^(-3)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;true&lt;/option&gt;&lt;option name="precision"&gt;4&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputField"&gt;textField&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 20578-16030 -->
 <question type="shortanswerwiris">
    <name>
      <text>1MA.01.1.56Q Tangent respecte a costats_2</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #003300;">En un triangle rectangle, els costats són a = #a, b = #b i c = #c.</span><br style="font-weight: bold; color: #006600;" /><span style="font-weight: bold; color: #003300;">Calcula la tangent de l'angle B.</span><br /><br /><span style="font-weight: bold; color: #ff6600;">Format de la resposta:</span> fracció simplificada</p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p><span style="font-weight: bold;">tg B = b/c</span></p>]]></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text>#s_51</text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;wirisCasSession&gt;&amp;lt;session lang=&amp;quot;ca&amp;quot; version=&amp;quot;2.0&amp;quot;&amp;gt;&amp;lt;library closed=&amp;quot;false&amp;quot;&amp;gt;&amp;lt;mtext style=&amp;quot;color:#ffc800&amp;quot; xml:lang=&amp;quot;es&amp;quot;&amp;gt;variables&amp;lt;/mtext&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;apply&amp;gt;&amp;lt;csymbol definitionURL=&amp;quot;http://www.wiris.com/XML/csymbol&amp;quot;&amp;gt;repeat&amp;lt;/csymbol&amp;gt;&amp;lt;mtable&amp;gt;&amp;lt;mtr&amp;gt;&amp;lt;mtd&amp;gt;&amp;lt;mi&amp;gt;b&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;11&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;99&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/mtd&amp;gt;&amp;lt;/mtr&amp;gt;&amp;lt;mtr&amp;gt;&amp;lt;mtd&amp;gt;&amp;lt;mi&amp;gt;c&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;aleatori&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;11&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;99&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/mtd&amp;gt;&amp;lt;/mtr&amp;gt;&amp;lt;mtr&amp;gt;&amp;lt;mtd&amp;gt;&amp;lt;mi&amp;gt;a&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;msqrt&amp;gt;&amp;lt;mrow&amp;gt;&amp;lt;msup&amp;gt;&amp;lt;mi&amp;gt;b&amp;lt;/mi&amp;gt;&amp;lt;mn&amp;gt;2&amp;lt;/mn&amp;gt;&amp;lt;/msup&amp;gt;&amp;lt;mo&amp;gt;+&amp;lt;/mo&amp;gt;&amp;lt;msup&amp;gt;&amp;lt;mi&amp;gt;c&amp;lt;/mi&amp;gt;&amp;lt;mn&amp;gt;2&amp;lt;/mn&amp;gt;&amp;lt;/msup&amp;gt;&amp;lt;/mrow&amp;gt;&amp;lt;/msqrt&amp;gt;&amp;lt;/mtd&amp;gt;&amp;lt;/mtr&amp;gt;&amp;lt;/mtable&amp;gt;&amp;lt;mrow&amp;gt;&amp;lt;mi&amp;gt;a&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;∈&amp;lt;/mo&amp;gt;&amp;lt;naturalnumbers/&amp;gt;&amp;lt;/mrow&amp;gt;&amp;lt;/apply&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;s_51&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;=&amp;lt;/mo&amp;gt;&amp;lt;mfrac&amp;gt;&amp;lt;mi&amp;gt;b&amp;lt;/mi&amp;gt;&amp;lt;mi&amp;gt;c&amp;lt;/mi&amp;gt;&amp;lt;/mfrac&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;/library&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mo&amp;gt;(&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;a&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;b&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mi&amp;gt;c&amp;lt;/mi&amp;gt;&amp;lt;mo&amp;gt;)&amp;lt;/mo&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mn&amp;gt;73&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;48&amp;lt;/mn&amp;gt;&amp;lt;mo&amp;gt;,&amp;lt;/mo&amp;gt;&amp;lt;mn&amp;gt;55&amp;lt;/mn&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mi&amp;gt;s_51&amp;lt;/mi&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;output&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;&amp;gt;&amp;lt;mfrac&amp;gt;&amp;lt;mn&amp;gt;48&amp;lt;/mn&amp;gt;&amp;lt;mn&amp;gt;55&amp;lt;/mn&amp;gt;&amp;lt;/mfrac&amp;gt;&amp;lt;/math&amp;gt;&amp;lt;/output&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;group&amp;gt;&amp;lt;command&amp;gt;&amp;lt;input&amp;gt;&amp;lt;math xmlns=&amp;quot;http://www.w3.org/1998/Math/MathML&amp;quot;/&amp;gt;&amp;lt;/input&amp;gt;&amp;lt;/command&amp;gt;&amp;lt;/group&amp;gt;&amp;lt;/session&amp;gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;
#s_51
      &lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;localData&gt;&lt;data name="cas"&gt;false&lt;/data&gt;&lt;data name="inputField"&gt;textField&lt;/data&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 20579-16031 -->
 <question type="shortanswerwiris">
    <name>
      <text>1MA.01.1.61Q Sinus amb b i c i Pitàgores</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #003300;">En un triangle rectangle, els catets b = #b i c = #c.</span><br style="font-weight: bold; color: #006600;" /><span style="font-weight: bold; color: #003300;">Calcula el sinus de l'angle B.</span><span style="font-weight: bold; color: #ff6600;"> (cal emprar el teorema de Pitàgores)</span><br /><span style="font-weight: bold; color: #ff6600;">Format de la resposta:</span> fracció simplificada i racionalitzada.<br /><br /></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p><span style="font-weight: bold;">sin B = b/a i a es calcula amb el teorema de Pitàgores</span></p>]]></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mo>#</mo><mi>s</mi><mo>_</mo><mn>51</mn></math>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;wirisCasSession&gt;&lt;![CDATA[&lt;session lang="ca" version="2.0"&gt;&lt;library closed="false"&gt;&lt;mtext style="color:#ffc800" xml:lang="es"&gt;variables&lt;/mtext&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;11&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;99&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;11&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;99&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;msqrt&gt;&lt;mrow&gt;&lt;msup&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;msup&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;/mrow&gt;&lt;/msqrt&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;s_51&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;/mfrac&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/library&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;msqrt&gt;&lt;mn&gt;445&lt;/mn&gt;&lt;/msqrt&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;11&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;18&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;s_51&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mn&gt;11&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;msqrt&gt;&lt;mn&gt;445&lt;/mn&gt;&lt;/msqrt&gt;&lt;/mrow&gt;&lt;mn&gt;445&lt;/mn&gt;&lt;/mfrac&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;/group&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"/&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/session&gt;]]&gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;&lt;![CDATA[&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mo&gt;#&lt;/mo&gt;&lt;mi&gt;s&lt;/mi&gt;&lt;mo&gt;_&lt;/mo&gt;&lt;mn&gt;51&lt;/mn&gt;&lt;/math&gt;]]&gt;&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="check_simplified"/&gt;&lt;assertion name="check_rationalized"/&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="tolerance"&gt;10^(-3)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;true&lt;/option&gt;&lt;option name="precision"&gt;4&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputField"&gt;inlineEditor&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
  </question>
 
 <!-- resourceid-resourcedataid: 20580-16032 -->
 <question type="shortanswerwiris">
    <name>
      <text>1MA.01.1.62Q cosinus amb b i c i pitàgores</text>
    </name>
    <questiontext format="html">
      <text><![CDATA[<p><span style="font-weight: bold; color: #003300;">En un triangle rectangle, els catets b = #b i c = #c.</span><br style="font-weight: bold; color: #006600;" /><span style="font-weight: bold; color: #003300;">Calcula el cosinus de l'angle B.</span><br />(cal emprar el teorema de Pitàgores)<br /><span style="font-weight: bold; color: #ff6600;">Format de la resposta:</span> fracció simplificada i racionalitzada.<br /><br /></p>]]></text>
    </questiontext>
    <generalfeedback format="html">
      <text><![CDATA[<p><span style="font-weight: bold;">a = <span class="nolink">«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«msqrt»«mrow»«msup»«mi»b«/mi»«mn»2«/mn»«/msup»«mo»+«/mo»«msup»«mi»c«/mi»«mn»2«/mn»«/msup»«/mrow»«/msqrt»«/math»</span> i cosB = c/a <br /></span></p>]]></text>
    </generalfeedback>
    <defaultgrade>1.0000000</defaultgrade>
    <penalty>0.5000000</penalty>
    <hidden>0</hidden>
    <usecase>0</usecase>
    <answer fraction="100" format="moodle_auto_format">
      <text><![CDATA[<math xmlns="http://www.w3.org/1998/Math/MathML"><mo>#</mo><mi>s</mi><mo>_</mo><mn>51</mn></math>]]></text>
      <feedback format="html">
        <text></text>
      </feedback>
    </answer>
    <wirisquestion>
&lt;question&gt;&lt;wirisCasSession&gt;&lt;![CDATA[&lt;session lang="ca" version="2.0"&gt;&lt;library closed="false"&gt;&lt;mtext style="color:#ffc800" xml:lang="es"&gt;variables&lt;/mtext&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mtable&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;11&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;29&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mi&gt;aleatori&lt;/mi&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mn&gt;11&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;29&lt;/mn&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;mtr&gt;&lt;mtd&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;msqrt&gt;&lt;mrow&gt;&lt;msup&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;mo&gt;+&lt;/mo&gt;&lt;msup&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/msup&gt;&lt;/mrow&gt;&lt;/msqrt&gt;&lt;/mtd&gt;&lt;/mtr&gt;&lt;/mtable&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;s_51&lt;/mi&gt;&lt;mo&gt;=&lt;/mo&gt;&lt;mfrac&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;/mfrac&gt;&lt;/math&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/library&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mo&gt;(&lt;/mo&gt;&lt;mi&gt;a&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;b&lt;/mi&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mo&gt;)&lt;/mo&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mn&gt;4&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;msqrt&gt;&lt;mn&gt;74&lt;/mn&gt;&lt;/msqrt&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;28&lt;/mn&gt;&lt;mo&gt;,&lt;/mo&gt;&lt;mn&gt;20&lt;/mn&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mi&gt;s_51&lt;/mi&gt;&lt;/math&gt;&lt;/input&gt;&lt;output&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mfrac&gt;&lt;mrow&gt;&lt;mn&gt;5&lt;/mn&gt;&lt;mo&gt;*&lt;/mo&gt;&lt;msqrt&gt;&lt;mn&gt;74&lt;/mn&gt;&lt;/msqrt&gt;&lt;/mrow&gt;&lt;mn&gt;74&lt;/mn&gt;&lt;/mfrac&gt;&lt;/math&gt;&lt;/output&gt;&lt;/command&gt;&lt;/group&gt;&lt;group&gt;&lt;command&gt;&lt;input&gt;&lt;math xmlns="http://www.w3.org/1998/Math/MathML"/&gt;&lt;/input&gt;&lt;/command&gt;&lt;/group&gt;&lt;/session&gt;]]&gt;&lt;/wirisCasSession&gt;&lt;correctAnswers&gt;&lt;correctAnswer type="mathml"&gt;&lt;![CDATA[&lt;math xmlns="http://www.w3.org/1998/Math/MathML"&gt;&lt;mo&gt;#&lt;/mo&gt;&lt;mi&gt;s&lt;/mi&gt;&lt;mo&gt;_&lt;/mo&gt;&lt;mn&gt;51&lt;/mn&gt;&lt;/math&gt;]]&gt;&lt;/correctAnswer&gt;&lt;/correctAnswers&gt;&lt;assertions&gt;&lt;assertion name="check_simplified"/&gt;&lt;assertion name="check_rationalized"/&gt;&lt;assertion name="syntax_expression"/&gt;&lt;assertion name="equivalent_symbolic"/&gt;&lt;/assertions&gt;&lt;options&gt;&lt;option name="tolerance"&gt;10^(-3)&lt;/option&gt;&lt;option name="relative_tolerance"&gt;true&lt;/option&gt;&lt;option name="precision"&gt;4&lt;/option&gt;&lt;option name="times_operator"&gt;·&lt;/option&gt;&lt;option name="implicit_times_operator"&gt;false&lt;/option&gt;&lt;option name="imaginary_unit"&gt;i&lt;/option&gt;&lt;/options&gt;&lt;localData&gt;&lt;data name="inputField"&gt;inlineEditor&lt;/data&gt;&lt;data name="gradeCompound"&gt;and&lt;/data&gt;&lt;data name="gradeCompoundDistribution"&gt;&lt;/data&gt;&lt;data name="casSession"/&gt;&lt;/localData&gt;&lt;/question&gt;    </wirisquestion>
  </question>
 </quiz>
