animations.xml

<?xml version="1.0" encoding="utf-8"?>
<animations xmlns="http://esheep.petrucci.ch/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://esheep.petrucci.ch/ https://raw.githubusercontent.com/Adrianotiger/desktopPet/master/Resources/animations.xsd">
  <header>
    <author>Adriano</author>
    <title>sheep</title>
    <version>1.0</version>
    <info>Some info texts</info>
    <application>1</application>
    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    <tilesy>11</tilesy>
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]]></png>
    <transparency>Magenta</transparency>
  </image>
  <spawn probability="20" id="1">
    <x>screenW+10</x>
    <y>areaH-imageH</y>
    <next probability="100">1</next>
  </spawn>
  <spawn probability="80" id="2">
    <x>random*(screenW-imageW-50)/100+25</x>
    <y>-imageH-20</y>
    <next probability="100">1</next>
  </spawn>
  <animation id="1">
    <name>walk</name>
    <start>
      <x>-4</x>
      <y>0</y>
      <interval>150</interval>
    </start>
    <end>
      <x>-4</x>
      <y>0</y>
      <interval>150</interval>
    </end>
    <sequence repeat="20" repeatfrom="0">
      <frame>2</frame>
      <frame>3</frame>
      <next probability="2" only="window">11</next>
      <next probability="10" only="taskbar">7</next>
      <next probability="90">1</next>
      <next probability="10">15</next>
      <next probability="5">17</next>
      <next probability="10">19</next>
    </sequence>
    <border>
      <next probability="100">2</next>
    </border>
    <gravity>
      <next probability="100">5</next>
    </gravity>
  </animation>
  <animation id="2">
    <name>rotate1a</name>
    <start>
      <x>0</x>
      <y>0</y>
      <interval>200</interval>
    </start>
    <end>
      <x>0</x>
      <y>0</y>
      <interval>200</interval>
    </end>
    <sequence repeat="0" repeatfrom="0">
      <frame>3</frame>
      <frame>9</frame>
      <frame>10</frame>
      <next probability="100">3</next>
      <action>flip</action>
    </sequence>
  </animation>
  <animation id="3">
    <name>rotate1b</name>
    <start>
      <x>0</x>
      <y>0</y>
      <interval>200</interval>
    </start>
    <end>
      <x>0</x>
      <y>0</y>
      <interval>200</interval>
    </end>
    <sequence repeat="0" repeatfrom="0">
      <frame>10</frame>
      <frame>9</frame>
      <frame>3</frame>
      <next probability="100">1</next>
    </sequence>
  </animation>
  <animation id="4">
    <name>drag</name>
    <start>
      <x>0</x>
      <y>0</y>
      <interval>100</interval>
    </start>
    <end>
      <x>0</x>
      <y>0</y>
      <interval>100</interval>
    </end>
    <sequence repeat="0" repeatfrom="0">
      <frame>42</frame>
      <frame>43</frame>
      <frame>43</frame>
      <frame>42</frame>
      <frame>44</frame>
      <frame>44</frame>
      <next probability="100">1</next>
    </sequence>
  </animation>
  <animation id="5">
    <name>fall</name>
    <start>
      <x>0</x>
      <y>1</y>
      <interval>100</interval>
    </start>
    <end>
      <x>0</x>
      <y>20</y>
      <interval>100</interval>
    </end>
    <sequence repeat="20" repeatfrom="0">
      <frame>46</frame>
      <next probability="100">6</next>
    </sequence>
    <border>
      <next probability="100">9</next>
    </border>
  </animation>
  <animation id="6">
    <name>fall fast</name>
    <start>
      <x>0</x>
      <y>20</y>
      <interval>100</interval>
    </start>
    <end>
      <x>0</x>
      <y>30</y>
      <interval>100</interval>
    </end>
    <sequence repeat="10" repeatfrom="0">
      <frame>46</frame>
      <next probability="100">6</next>
    </sequence>
    <border>
      <next probability="100">10</next>
    </border>
  </animation>
  <animation id="7">
    <name>run</name>
    <start>
      <x>-10</x>
      <y>0</y>
      <interval>100</interval>
    </start>
    <end>
      <x>-10</x>
      <y>0</y>
      <interval>100</interval>
    </end>
    <sequence repeat="5" repeatfrom="0">
      <frame>5</frame>
      <frame>4</frame>
      <frame>4</frame>
      <next probability="20">7</next>
      <next probability="80">1</next>
    </sequence>
    <border>
      <next probability="100">8</next>
    </border>
    <gravity>
      <next probability="100">5</next>
    </gravity>
  </animation>
  <animation id="8">
    <name>boing</name>
    <start>
      <x>1</x>
      <y>0</y>
      <interval>100</interval>
    </start>
    <end>
      <x>10</x>
      <y>0</y>
      <interval>100</interval>
    </end>
    <sequence repeat="0" repeatfrom="0">
      <frame>62</frame>
      <frame>62</frame>
      <frame>63</frame>
      <frame>64</frame>
      <frame>65</frame>
      <frame>66</frame>
      <frame>67</frame>
      <frame>68</frame>
      <frame>69</frame>
      <frame>70</frame>
      <frame>6</frame>
      <next probability="20">2</next>
      <next probability="5">7</next>
      <next probability="80">1</next>
    </sequence>
  </animation>
  <animation id="9">
    <name>fall soft</name>
    <start>
      <x>0</x>
      <y>2</y>
      <interval>200</interval>
    </start>
    <end>
      <x>0</x>
      <y>-2</y>
      <interval>1000</interval>
    </end>
    <sequence repeat="0" repeatfrom="0">
      <frame>46</frame>
      <frame>47</frame>
      <frame>47</frame>
      <next probability="100">1</next>
    </sequence>
  </animation>
  <animation id="10">
    <name>fall hard</name>
    <start>
      <x>0</x>
      <y>2</y>
      <interval>200</interval>
    </start>
    <end>
      <x>0</x>
      <y>-2</y>
      <interval>500</interval>
    </end>
    <sequence repeat="0" repeatfrom="0">
      <frame>48</frame>
      <frame>48</frame>
      <frame>48</frame>
      <frame>48</frame>
      <frame>47</frame>
      <next probability="100">1</next>
    </sequence>
  </animation>
  <animation id="11">
    <name>pissa</name>
    <start>
      <x>0</x>
      <y>0</y>
      <interval>200</interval>
    </start>
    <end>
      <x>0</x>
      <y>0</y>
      <interval>200</interval>
    </end>
    <sequence repeat="5+random/10" repeatfrom="5">
      <frame>3</frame>
      <frame>12</frame>
      <frame>13</frame>
      <frame>103</frame>
      <frame>104</frame>
      <frame>105</frame>
      <frame>106</frame>
      <next probability="100">12</next>
    </sequence>
  </animation>
  <animation id="12">
    <name>pissb</name>
    <start>
      <x>0</x>
      <y>0</y>
      <interval>200</interval>
    </start>
    <end>
      <x>0</x>
      <y>0</y>
      <interval>200</interval>
    </end>
    <sequence repeat="0" repeatfrom="0">
      <frame>104</frame>
      <frame>105</frame>
      <frame>104</frame>
      <frame>104</frame>
      <frame>103</frame>
      <frame>13</frame>
      <frame>12</frame>
      <next probability="100">1</next>
    </sequence>
  </animation>
  <animation id="13">
    <name>kill</name>
    <start>
      <x>0</x>
      <y>0</y>
      <interval>200</interval>
    </start>
    <end>
      <x>0</x>
      <y>0</y>
      <interval>200</interval>
    </end>
    <sequence repeat="20" repeatfrom="1">
      <frame>3</frame>
      <frame>96</frame>
      <frame>96</frame>
      <next probability="100">1</next>
    </sequence>
  </animation>
  <animation id="14">
    <name>sync</name>
    <start>
      <x>0</x>
      <y>0</y>
      <interval>30</interval>
    </start>
    <end>
      <x>0</x>
      <y>0</y>
      <interval>100</interval>
    </end>
    <sequence repeat="12" repeatfrom="0">
      <frame>50</frame>
      <frame>51</frame>
      <next probability="100">1</next>
    </sequence>
  </animation>
  <animation id="15">
    <name>sleep1a</name>
    <start>
      <x>0</x>
      <y>0</y>
      <interval>1000</interval>
    </start>
    <end>
      <x>0</x>
      <y>0</y>
      <interval>200</interval>
    </end>
    <sequence repeat="random/5+10" repeatfrom="8">
      <frame>3</frame>
      <frame>107</frame>
      <frame>108</frame>
      <frame>107</frame>
      <frame>108</frame>
      <frame>31</frame>
      <frame>32</frame>
      <frame>33</frame>
      <frame>0</frame>
      <frame>1</frame>
      <next probability="100">16</next>
    </sequence>
  </animation>
  <animation id="16">
    <name>sleep1b</name>
    <start>
      <x>0</x>
      <y>0</y>
      <interval>200</interval>
    </start>
    <end>
      <x>0</x>
      <y>0</y>
      <interval>200</interval>
    </end>
    <sequence repeat="0" repeatfrom="0">
      <frame>0</frame>
      <frame>80</frame>
      <frame>79</frame>
      <frame>78</frame>
      <frame>77</frame>
      <frame>37</frame>
      <frame>38</frame>
      <frame>39</frame>
      <frame>38</frame>
      <frame>37</frame>
      <frame>6</frame>
      <next probability="100">1</next>
    </sequence>
  </animation>
  <animation id="17">
    <name>sleep2a</name>
    <start>
      <x>0</x>
      <y>0</y>
      <interval>200</interval>
    </start>
    <end>
      <x>0</x>
      <y>0</y>
      <interval>200</interval>
    </end>
    <sequence repeat="random/10+5" repeatfrom="6">
      <frame>3</frame>
      <frame>6</frame>
      <frame>7</frame>
      <frame>8</frame>
      <frame>8</frame>
      <frame>7</frame>
      <frame>8</frame>
      <frame>8</frame>
      <next probability="100">18</next>
    </sequence>
  </animation>
  <animation id="18">
    <name>sleep2b</name>
    <start>
      <x>0</x>
      <y>0</y>
      <interval>200</interval>
    </start>
    <end>
      <x>0</x>
      <y>0</y>
      <interval>200</interval>
    </end>
    <sequence repeat="0" repeatfrom="0">
      <frame>8</frame>
      <frame>7</frame>
      <frame>6</frame>
      <next probability="100">7</next>
    </sequence>
  </animation>
  <animation id="19">
    <name>sleep3a</name>
    <start>
      <x>0</x>
      <y>0</y>
      <interval>200</interval>
    </start>
    <end>
      <x>0</x>
      <y>0</y>
      <interval>200</interval>
    </end>
    <sequence repeat="random/10+20" repeatfrom="7">
      <frame>3</frame>
      <frame>9</frame>
      <frame>10</frame>
      <frame>34</frame>
      <frame>35</frame>
      <frame>34</frame>
      <frame>35</frame>
      <frame>36</frame>
      <frame>36</frame>
      <next probability="100">20</next>
    </sequence>
  </animation>
  <animation id="20">
    <name>sleep3b</name>
    <start>
      <x>0</x>
      <y>0</y>
      <interval>200</interval>
    </start>
    <end>
      <x>0</x>
      <y>0</y>
      <interval>200</interval>
    </end>
    <sequence repeat="0" repeatfrom="0">
      <frame>35</frame>
      <frame>36</frame>
      <frame>36</frame>
      <frame>35</frame>
      <frame>34</frame>
      <frame>34</frame>
      <frame>34</frame>
      <frame>10</frame>
      <frame>9</frame>
      <next probability="100">1</next>
    </sequence>
  </animation>
</animations>