--- a/scanpy-run-pca.xml	Fri Jun 05 09:09:03 2020 -0400
+++ b/scanpy-run-pca.xml	Mon Sep 07 13:14:04 2020 +0000
@@ -1,5 +1,5 @@
 <?xml version="1.0" encoding="utf-8"?>
-<tool id="scanpy_run_pca" name="Scanpy RunPCA" version="@TOOL_VERSION@+galaxy10" profile="@PROFILE@">
+<tool id="scanpy_run_pca" name="Scanpy RunPCA" version="@TOOL_VERSION@+galaxy0" profile="@PROFILE@">
   <description>for dimensionality reduction</description>
   <macros>
     <import>scanpy_macros2.xml</import>
@@ -56,7 +56,7 @@
 
   <outputs>
     <expand macro="output_data_obj" description="PCA object"/>
-    <data name="output_embed" format="tsv" from_work_dir="embeddings.tsv" label="${tool.name} on ${on_string}: PCA embeddings">
+    <data name="output_embed" format="tabular" from_work_dir="embeddings.tsv" label="${tool.name} on ${on_string}: PCA embeddings">
       <filter>extra_outputs and 'embeddings' in extra_outputs.split(',')</filter>
     </data>
   </outputs>
@@ -70,12 +70,12 @@
       <param name="n_pcs" value="50"/>
       <param name="zero_center" value="true"/>
       <param name="svd_solver" value="arpack"/>
-      <param name="random_seed" value="0"/>
+      <param name="random_seed" value="1"/>
       <param name="chunked" value="false"/>
       <output name="output_h5" file="run_pca.h5" ftype="h5" compare="sim_size"/>
-      <output name="output_embed" file="run_pca.embeddings.csv" ftype="csv" compare="sim_size">
+      <output name="output_embed" file="run_pca.embeddings.tsv" ftype="tabular" compare="sim_size" >
         <assert_contents>
-          <has_n_columns n="50" sep=","/>
+          <has_n_columns n="51"/>
         </assert_contents>
       </output>
     </test>