Newer
Older
osmCoverage / src / ksj_police.class.violet.html
@hayashi hayashi on 18 Feb 2018 38 KB DbPolice() passed
<HTML>
<HEAD>
<META name="description"
	content="Violet UML Editor cross format document" />
<META name="keywords" content="Violet, UML" />
<META charset="UTF-8" />
<SCRIPT type="text/javascript">
	function switchVisibility() {
		var obj = document.getElementById("content");
		obj.style.display = (obj.style.display == "block") ? "none" : "block";
	}
</SCRIPT>
</HEAD>
<BODY>
	This file was generated with Violet UML Editor 2.1.0.
	&nbsp;&nbsp;(&nbsp;<A href=# onclick="switchVisibility()">View Source</A>&nbsp;/&nbsp;<A href="http://sourceforge.net/projects/violet/files/violetumleditor/" target="_blank">Download Violet</A>&nbsp;)
	<BR />
	<BR />
	<SCRIPT id="content" type="text/xml"><![CDATA[<ClassDiagramGraph id="1">
  <nodes id="2">
    <NoteNode id="3">
      <children id="4"/>
      <location class="Point2D.Double" id="5" x="820.0" y="500.0"/>
      <id id="6" value="280b3144-f56a-4cc8-a856-ba56886de211"/>
      <revision>1</revision>
      <backgroundColor id="7">
        <red>255</red>
        <green>255</green>
        <blue>255</blue>
        <alpha>255</alpha>
      </backgroundColor>
      <borderColor id="8">
        <red>0</red>
        <green>0</green>
        <blue>0</blue>
        <alpha>255</alpha>
      </borderColor>
      <textColor reference="8"/>
      <text id="9" justification="0" size="4" underlined="false">
        <text>up: INT はPostGISテーブルに対するUPDATEステータス
 0: 更新なし
 1: 更新あり
 2: 新規追加</text>
      </text>
      <color id="10">
        <red>255</red>
        <green>228</green>
        <blue>181</blue>
        <alpha>255</alpha>
      </color>
    </NoteNode>
    <ClassNode id="11">
      <children id="12"/>
      <location class="Point2D.Double" id="13" x="30.0" y="160.0"/>
      <id id="14" value="44ef541c-de8b-42c6-9483-46a125c647fe"/>
      <revision>1</revision>
      <backgroundColor id="15">
        <red>255</red>
        <green>255</green>
        <blue>255</blue>
        <alpha>255</alpha>
      </backgroundColor>
      <borderColor id="16">
        <red>0</red>
        <green>0</green>
        <blue>0</blue>
        <alpha>255</alpha>
      </borderColor>
      <textColor reference="16"/>
      <name id="17" justification="1" size="3" underlined="false">
        <text>&lt;&lt; root &gt;&gt;
ksj:Dataset</text>
      </name>
      <attributes id="18" justification="0" size="4" underlined="false">
        <text></text>
      </attributes>
      <methods id="19" justification="0" size="4" underlined="false">
        <text></text>
      </methods>
    </ClassNode>
    <ClassNode id="20">
      <children id="21"/>
      <location class="Point2D.Double" id="22" x="300.0" y="20.0"/>
      <id id="23" value="1f9943a6-68e0-414b-bf95-ed982e1f87ac"/>
      <revision>1</revision>
      <backgroundColor reference="15"/>
      <borderColor reference="16"/>
      <textColor reference="16"/>
      <name id="24" justification="1" size="3" underlined="false">
        <text>gml:Point</text>
      </name>
      <attributes id="25" justification="0" size="4" underlined="false">
        <text>gml:id=&quot;pt_psn298&quot;</text>
      </attributes>
      <methods id="26" justification="0" size="4" underlined="false">
        <text></text>
      </methods>
    </ClassNode>
    <ClassNode id="27">
      <children id="28"/>
      <location class="Point2D.Double" id="29" x="450.0" y="20.0"/>
      <id id="30" value="c3090606-98ba-459f-91ec-80894863b760"/>
      <revision>1</revision>
      <backgroundColor reference="15"/>
      <borderColor reference="16"/>
      <textColor reference="16"/>
      <name id="31" justification="1" size="3" underlined="false">
        <text>gml:pos</text>
      </name>
      <attributes id="32" justification="0" size="4" underlined="false">
        <text></text>
      </attributes>
      <methods id="33" justification="0" size="4" underlined="false">
        <text>&quot;41.796013 140.751973&quot;</text>
      </methods>
    </ClassNode>
    <ClassNode id="34">
      <children id="35"/>
      <location class="Point2D.Double" id="36" x="290.0" y="260.0"/>
      <id id="37" value="48cf3737-df2e-4925-a21b-89ed9453e78f"/>
      <revision>1</revision>
      <backgroundColor reference="15"/>
      <borderColor reference="16"/>
      <textColor reference="16"/>
      <name id="38" justification="1" size="3" underlined="false">
        <text>ksj:PoliceStation</text>
      </name>
      <attributes id="39" justification="0" size="4" underlined="false">
        <text>gml:id=&quot;ps_298&quot;</text>
      </attributes>
      <methods id="40" justification="0" size="4" underlined="false">
        <text>&lt;ksj:psn&gt;美唄警察署駅前交番&lt;/ksj:psn&gt;
&lt;ksj:pos xlink:href=&quot;#pt_psn298&quot;/&gt;
&lt;ksj:aac codeSpace=&quot;AdministrativeAreaCode.xml&quot;&gt;01215&lt;/ksj:aac&gt;
&lt;ksj:ccd&gt;4&lt;/ksj:ccd&gt;
&lt;ksj:adr&gt;美唄市東1条南2丁目3-2&lt;/ksj:adr&gt;</text>
      </methods>
    </ClassNode>
  </nodes>
  <edges id="41">
    <AggregationEdge id="42">
      <start class="ClassNode" reference="20"/>
      <end class="ClassNode" reference="11"/>
      <startLocation class="Point2D.Double" id="43" x="60.0" y="60.0"/>
      <endLocation class="Point2D.Double" id="44" x="50.0" y="30.0"/>
      <transitionPoints id="45"/>
      <id id="46" value="8243e9bf-f7be-4c3a-adeb-47c1a65fd43b"/>
      <revision>1</revision>
      <bentStyle name="AUTO"/>
      <startLabel>*</startLabel>
      <middleLabel></middleLabel>
      <endLabel>1</endLabel>
    </AggregationEdge>
    <CompositionEdge id="47">
      <start class="ClassNode" reference="27"/>
      <end class="ClassNode" reference="20"/>
      <startLocation class="Point2D.Double" id="48" x="90.0" y="30.0"/>
      <endLocation class="Point2D.Double" id="49" x="50.0" y="70.0"/>
      <transitionPoints id="50"/>
      <id id="51" value="fea83c38-e572-45be-9b5f-8f6111242786"/>
      <revision>1</revision>
      <bentStyle name="AUTO"/>
      <startLabel>1</startLabel>
      <middleLabel></middleLabel>
      <endLabel>1</endLabel>
    </CompositionEdge>
    <CompositionEdge id="52">
      <start class="ClassNode" reference="34"/>
      <end class="ClassNode" reference="11"/>
      <startLocation class="Point2D.Double" id="53" x="70.0" y="80.0"/>
      <endLocation class="Point2D.Double" id="54" x="60.0" y="30.0"/>
      <transitionPoints id="55"/>
      <id id="56" value="dac9ce86-c673-4ef9-87a3-1fba216fdebf"/>
      <revision>1</revision>
      <bentStyle name="AUTO"/>
      <startLabel>*</startLabel>
      <middleLabel></middleLabel>
      <endLabel>1</endLabel>
    </CompositionEdge>
    <DependencyEdge id="57">
      <start class="ClassNode" reference="34"/>
      <end class="ClassNode" reference="20"/>
      <startLocation class="Point2D.Double" id="58" x="110.0" y="80.0"/>
      <endLocation class="Point2D.Double" id="59" x="80.0" y="60.0"/>
      <transitionPoints id="60"/>
      <id id="61" value="d5e4b967-0280-4bce-b590-183253c0fe6e"/>
      <revision>1</revision>
      <bentStyle name="AUTO"/>
      <startLabel>ksj:pos href</startLabel>
      <middleLabel></middleLabel>
      <endLabel>gml:id</endLabel>
    </DependencyEdge>
  </edges>
</ClassDiagramGraph>]]></SCRIPT>
	<BR />
	<BR />
	<IMG alt="embedded diagram image" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABEcAAAI1CAIAAAC7fgMpAABb6klEQVR42uzdDWxVaZof+JqmHLeX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" />
</BODY>
</HTML>