diff qiime2__sample_classifier__split_table.xml @ 1:b3fdc6dd0eab draft

planemo upload for repository https://github.com/qiime2/galaxy-tools/tree/main/tools/suite_qiime2__sample_classifier commit 69da7976573cc07a363ac66bdacc9269d7cd3732
author q2d2
date Fri, 13 Jan 2023 23:00:23 +0000
parents de07769fd83f
children a80604576ca2
line wrap: on
line diff
--- a/qiime2__sample_classifier__split_table.xml	Mon Aug 29 20:25:11 2022 +0000
+++ b/qiime2__sample_classifier__split_table.xml	Fri Jan 13 23:00:23 2023 +0000
@@ -1,34 +1,34 @@
 <?xml version='1.0' encoding='utf-8'?>
 <!--
-Copyright (c) 2022, QIIME 2 development team.
+Copyright (c) 2023, QIIME 2 development team.
 
 Distributed under the terms of the Modified BSD License. (SPDX: BSD-3-Clause)
 -->
 <!--
 This tool was automatically generated by:
-    q2galaxy (version: 2022.8.1)
+    q2galaxy (version: 2022.11.1)
 for:
-    qiime2 (version: 2022.8.1)
+    qiime2 (version: 2022.11.1)
 -->
-<tool name="qiime2 sample-classifier split-table" id="qiime2__sample_classifier__split_table" version="2022.8.0+q2galaxy.2022.8.1.2" profile="22.05" license="BSD-3-Clause">
+<tool name="qiime2 sample-classifier split-table" id="qiime2__sample_classifier__split_table" version="2022.11.1+q2galaxy.2022.11.1.2" profile="22.05" license="BSD-3-Clause">
     <description>Split a feature table into training and testing sets.</description>
     <requirements>
-        <container type="docker">quay.io/qiime2/core:2022.8</container>
+        <container type="docker">quay.io/qiime2/core:2022.11</container>
     </requirements>
     <version_command>q2galaxy version sample_classifier</version_command>
-    <command detect_errors="aggressive">q2galaxy run sample_classifier split_table '$inputs'</command>
+    <command detect_errors="exit_code">q2galaxy run sample_classifier split_table '$inputs'</command>
     <configfiles>
         <inputs name="inputs" data_style="paths"/>
     </configfiles>
     <inputs>
         <param name="table" type="data" format="qza" label="table: FeatureTable[Frequency¹ | RelativeFrequency² | PresenceAbsence³ | Balance⁴ | PercentileNormalized⁵ | Design⁶]" help="[required]  Feature table containing all features that should be used for target prediction.">
             <options options_filter_attribute="metadata.semantic_type">
-                <filter type="add_value" value="FeatureTable[PercentileNormalized]"/>
+                <filter type="add_value" value="FeatureTable[Design]"/>
                 <filter type="add_value" value="FeatureTable[RelativeFrequency]"/>
                 <filter type="add_value" value="FeatureTable[PresenceAbsence]"/>
+                <filter type="add_value" value="FeatureTable[PercentileNormalized]"/>
+                <filter type="add_value" value="FeatureTable[Frequency]"/>
                 <filter type="add_value" value="FeatureTable[Balance]"/>
-                <filter type="add_value" value="FeatureTable[Design]"/>
-                <filter type="add_value" value="FeatureTable[Frequency]"/>
             </options>
             <validator type="expression" message="Incompatible type">hasattr(value.metadata, "semantic_type") and value.metadata.semantic_type in ['FeatureTable[Balance]', 'FeatureTable[Design]', 'FeatureTable[Frequency]', 'FeatureTable[PercentileNormalized]', 'FeatureTable[PresenceAbsence]', 'FeatureTable[RelativeFrequency]']</validator>
         </param>