diff qiime2__sample_classifier__scatterplot.xml @ 3:25135b363e40 draft

planemo upload for repository https://github.com/qiime2/galaxy-tools/tree/main/tools/suite_qiime2__sample_classifier commit 389df0134cd0763dcf02aac6e623fc15f8861c1e

--- a/qiime2__sample_classifier__scatterplot.xml	Thu Jun 08 19:52:11 2023 +0000
+++ b/qiime2__sample_classifier__scatterplot.xml	Thu Apr 25 21:27:00 2024 +0000
@@ -1,24 +1,24 @@
 <?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 scatterplot" id="qiime2__sample_classifier__scatterplot" version="2023.5.0+q2galaxy.2023.5.0.2" profile="22.05" license="BSD-3-Clause">
+<tool name="qiime2 sample-classifier scatterplot" id="qiime2__sample_classifier__scatterplot" version="2024.2.0+q2galaxy.2024.2.1" profile="22.05" license="BSD-3-Clause">
     <description>Make 2D scatterplot and linear regression of regressor predictions.</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 scatterplot '$inputs'</command>
     <configfiles>
-        <inputs name="inputs" data_style="paths"/>
+        <inputs name="inputs" data_style="staging_path_and_source_path"/>
     </configfiles>
     <inputs>
         <param name="predictions" type="data" format="qza" label="predictions: SampleData[RegressorPredictions]" help="[required]  Predicted values to plot on y axis. Must be predictions of numeric data produced by a sample regressor.">