# HG changeset patch
# User q2d2
# Date 1746471822 0
# Node ID 96543d2f2217f3de9ee3992486cad4c98b62e7a8
# Parent  e56a7f3e8b052d5b2b0c71a585b7eca59a20543e
planemo upload for repository https://github.com/qiime2/galaxy-tools/tree/main/tools/suite_qiime2__sample_classifier commit b1fccfb38b4873cd4699743033449014a2978e7d

diff -r e56a7f3e8b05 -r 96543d2f2217 qiime2__sample_classifier__summarize.xml
--- a/qiime2__sample_classifier__summarize.xml	Wed Oct 30 19:56:16 2024 +0000
+++ b/qiime2__sample_classifier__summarize.xml	Mon May 05 19:03:42 2025 +0000
@@ -1,22 +1,22 @@
 <?xml version='1.0' encoding='utf-8'?>
 <!--
-Copyright (c) 2024, QIIME 2 development team.
+Copyright (c) 2025, 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: 2024.10.0)
+    q2galaxy (version: 2025.4.0)
 for:
-    qiime2 (version: 2024.10.1)
+    qiime2 (version: 2025.4.0)
 -->
-<tool name="qiime2 sample-classifier summarize" id="qiime2__sample_classifier__summarize" version="2024.10.0+q2galaxy.2024.10.0" profile="22.05" license="BSD-3-Clause">
+<tool name="qiime2 sample-classifier summarize" id="qiime2__sample_classifier__summarize" version="2025.4.0+q2galaxy.2025.4.0" profile="22.05" license="BSD-3-Clause">
     <description>Summarize parameter and feature extraction information for a trained estimator.</description>
     <xrefs>
         <xref type="bio.tools">qiime2</xref>
     </xrefs>
     <requirements>
-        <container type="docker">quay.io/qiime2/amplicon:2024.10</container>
+        <container type="docker">quay.io/qiime2/amplicon:2025.4</container>
     </requirements>
     <version_command>q2galaxy version sample_classifier</version_command>
     <command detect_errors="exit_code">q2galaxy run sample_classifier summarize '$inputs'</command>
@@ -26,8 +26,8 @@
     <inputs>
         <param name="sample_estimator" type="data" format="qza" label="sample_estimator: SampleEstimator[Classifier | Regressor]" help="[required]  Sample estimator trained with fit_classifier or fit_regressor.">
             <options options_filter_attribute="metadata.semantic_type">
+                <filter type="add_value" value="SampleEstimator[Regressor]"/>
                 <filter type="add_value" value="SampleEstimator[Classifier]"/>
-                <filter type="add_value" value="SampleEstimator[Regressor]"/>
             </options>
             <validator type="expression" message="Incompatible type">hasattr(value.metadata, "semantic_type") and value.metadata.semantic_type in ['SampleEstimator[Classifier]', 'SampleEstimator[Regressor]']</validator>
         </param>