<reports>
  <report active="T" code="UFZ014" report_type="S001004" private="F">
    <shortcut code="sk-SK">VYNDVP_DPČ</shortcut>
    <name code="sk-SK">Tlačivo na uplatnenie výnimky na platenie DP u DoVP a DoPČ poberateľa dôchodku</name>
    <note>
    </note>
    <module groupNumber="2" moduleNumber="1" />
    <group keyCode="SB001" valueCode="002" />
    <syscateg>systémová definícia</syscateg>
    <parameters>
      <report>
  <general>
    <fileformat>docx</fileformat>
    <root>S003751</root>
    <templatedocx><![CDATA[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]]></templatedocx>
    <templatepdf />
    <selecthistorydates>no</selecthistorydates>
    <selectperioddates>no</selectperioddates>
  </general>
  <dataparams>
    <param itemid="S003751[0103]" datatype="data" name="priezvisko" visible="T" decplaces="0" roundcode="000" />
    <param itemid="S003751[0101]" datatype="data" name="meno" visible="T" decplaces="0" roundcode="000" />
    <param itemid="S003751[0115]" datatype="data" name="tit" visible="T" decplaces="0" roundcode="000" />
    <param itemid="S003751[0106]" datatype="data" name="RC" visible="T" decplaces="0" roundcode="000" />
    <param itemid="S003751[0120] -&gt; S001802[0001]" datatype="data" name="ul" visible="T" decplaces="0" roundcode="000" />
    <param itemid="S003751[0120] -&gt; S001802[0002]" datatype="data" name="cs" visible="T" decplaces="0" roundcode="000" />
    <param itemid="S003751[0120] -&gt; S001802[0004]" datatype="data" name="PSC" visible="T" decplaces="0" roundcode="000" />
    <param itemid="S003751[0120] -&gt; S001802[0003]" datatype="data" name="ob" visible="T" decplaces="0" roundcode="000" />
    <param itemid="S003751[0301] -&gt; S003771[0004] -&gt; S001803[0005]" datatype="data" name="organizacia" visible="T" decplaces="0" roundcode="000" />
    <param itemid="S003751[0301] -&gt; S003771[0004] -&gt; S001803[0125] -&gt; S001806[003] -&gt; S001802[0020]" datatype="data" name="trvaly_pobyt" visible="T" decplaces="0" roundcode="000" />
    <param itemid="S003751[0301] -&gt; S003771[0004] -&gt; S001803[0125] -&gt; S001806[001] -&gt; S001802[0020]" datatype="data" name="sidlo" visible="T" decplaces="0" roundcode="000" />
  </dataparams>
  <sort>
    <sortstd itemid="S003751[0100]" copyfrom="0" copylength="0" sortdescending="False" dosum="False" newpage="False">
      <name code="sk-SK">Priezv. a meno</name>
    </sortstd>
    <usesortusr>F</usesortusr>
  </sort>
  <conditions>
    <condition itemid="S003751[0151] -&gt; S003756[120] -&gt; S003757[0002] -&gt; S001801[002]" groupbegin="" groupend="" opcompare="2" opjoin="0" comparetype="1" value="120" />
    <condition itemid="S003751[0151] -&gt; S003756[130] -&gt; S003757[0002] -&gt; S001801[002]" groupbegin="" groupend="" opcompare="2" opjoin="1" comparetype="1" value="130" />
    <condition itemid="S003751[0151] -&gt; S003756[140] -&gt; S003757[0002] -&gt; S001801[002]" groupbegin="" groupend="" opcompare="2" opjoin="1" comparetype="1" value="140" />
    <condition itemid="S003751[0151] -&gt; S003756[210] -&gt; S003757[0002] -&gt; S001801[002]" groupbegin="" groupend="" opcompare="2" opjoin="1" comparetype="1" value="210" />
    <condition itemid="S003751[0151] -&gt; S003756[820] -&gt; S003757[0002] -&gt; S001801[002]" groupbegin="" groupend="" opcompare="2" opjoin="1" comparetype="1" value="820" />
    <condition itemid="S003751[0151] -&gt; S003756[830] -&gt; S003757[0002] -&gt; S001801[002]" groupbegin="" groupend="" opcompare="2" opjoin="1" comparetype="1" value="830" />
  </conditions>
  <filter>
    <usereportconditions>T</usereportconditions>
  </filter>
  <datatableparams />
</report>
    </parameters>
    <models />
    <templates />
  </report>
</reports>