Mercurial > repos > q2d2 > qiime2__sample_classifier__split_table

changeset 3:decd505fbc3d draft

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planemo upload for repository https://github.com/qiime2/galaxy-tools/tree/main/tools/suite_qiime2__sample_classifier commit 389df0134cd0763dcf02aac6e623fc15f8861c1e
author q2d2
date Thu, 25 Apr 2024 21:26:46 +0000
parents a80604576ca2
children d325f1c254c5
files qiime2__sample_classifier__split_table.xml
diffstat 1 files changed, 12 insertions(+), 11 deletions(-) [+]
line wrap: on
line diff
--- a/qiime2__sample_classifier__split_table.xml	Thu Jun 08 19:51:51 2023 +0000
+++ b/qiime2__sample_classifier__split_table.xml	Thu Apr 25 21:26:46 2024 +0000
@@ -1,36 +1,37 @@
 <?xml version='1.0' encoding='utf-8'?>
 <!--
-Copyright (c) 2023, QIIME 2 development team.
+Copyright (c) 2024, 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: 2023.5.0)
+    q2galaxy (version: 2024.2.1)
 for:
-    qiime2 (version: 2023.5.1)
+    qiime2 (version: 2024.2.0)
 -->
-<tool name="qiime2 sample-classifier split-table" id="qiime2__sample_classifier__split_table" version="2023.5.0+q2galaxy.2023.5.0.2" profile="22.05" license="BSD-3-Clause">
+<tool name="qiime2 sample-classifier split-table" id="qiime2__sample_classifier__split_table" version="2024.2.0+q2galaxy.2024.2.1" 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:2023.5</container>
+        <container type="docker">quay.io/qiime2/amplicon:2024.2</container>
     </requirements>
     <version_command>q2galaxy version sample_classifier</version_command>
     <command detect_errors="exit_code">q2galaxy run sample_classifier split_table '$inputs'</command>
     <configfiles>
-        <inputs name="inputs" data_style="paths"/>
+        <inputs name="inputs" data_style="staging_path_and_source_path"/>
     </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.">
+        <param name="table" type="data" format="qza" label="table: FeatureTable[Frequency¹ | RelativeFrequency² | PresenceAbsence³ | Balance⁴ | PercentileNormalized⁵ | Design⁶ | Composition⁷]" 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[Frequency]"/>
+                <filter type="add_value" value="FeatureTable[RelativeFrequency]"/>
                 <filter type="add_value" value="FeatureTable[Balance]"/>
-                <filter type="add_value" value="FeatureTable[PercentileNormalized]"/>
+                <filter type="add_value" value="FeatureTable[Composition]"/>
                 <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[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>
+            <validator type="expression" message="Incompatible type">hasattr(value.metadata, "semantic_type") and value.metadata.semantic_type in ['FeatureTable[Balance]', 'FeatureTable[Composition]', 'FeatureTable[Design]', 'FeatureTable[Frequency]', 'FeatureTable[PercentileNormalized]', 'FeatureTable[PresenceAbsence]', 'FeatureTable[RelativeFrequency]']</validator>
         </param>
         <conditional name="metadata">
             <param name="type" type="select" label="metadata: MetadataColumn[Numeric | Categorical]" help="[required]  Numeric metadata column to use as prediction target.">