<?xml version="1.0" ?>
<tool id="qiime_diversity_bioenv" name="qiime diversity bioenv" version="2018.4">
	<description> - bioenv</description>
	<requirements>
		<requirement type="package" version="2018.4">qiime2</requirement>
	</requirements>
	<command><![CDATA[
  qiime diversity bioenv --i-distance-matrix=$idistancematrix
  
  #def list_dict_to_string(list_dict):
  	#set $file_list = list_dict[0]['additional_input'].__getattr__('file_name')
  	#for d in list_dict[1:]:
  		#set $file_list = $file_list + ',' + d['additional_input'].__getattr__('file_name')
  	#end for
  	#return $file_list
  #end def
  
   --m-metadata-file=$list_dict_to_string($input_files_mmetadatafile)
   
  #if str($cmdconfig) != 'None':
   --cmd-config=$cmdconfig
  #end if
  
   --o-visualization=ovisualization;
  qiime tools export ovisualization.qzv --output-dir out   && mkdir -p '$ovisualization.files_path'
  && cp -r out/* '$ovisualization.files_path'
  && mv '$ovisualization.files_path/index.html' '$ovisualization';
  ]]></command>
	<inputs>
		<param format="qza,no_unzip.zip" label="--i-distance-matrix: DistanceMatrix Matrix of distances between pairs of samples.  [required]" name="idistancematrix" optional="False" type="data"/>
		<repeat name="input_files_mmetadatafile" optional="False" title="--m-metadata-file">
			<param label="--m-metadata-file: Metadata file or artifact viewable as metadata. This option may be supplied multiple times to merge metadata. The sample metadata.  [required]" name="additional_input" type="data" format="tabular,qza,no_unzip.zip" />
		</repeat>
		<param label="--cmd-config: Use config file for command options" name="cmdconfig" optional="True" type="data"/>
	</inputs>
	<outputs>
		<data format="html" label="${tool.name} on ${on_string}: visualization.qzv" name="ovisualization"/>
	</outputs>
	<help>
 <![CDATA[
bioenv
------

Find the subsets of variables in metadata whose Euclidean distances are
maximally rank-correlated with distance matrix. All numeric variables in
metadata will be considered, and samples which are missing data will be
dropped. The output visualization will indicate how many samples were
dropped due to missing data, if any were dropped.

Parameters
----------
distance_matrix : DistanceMatrix
    Matrix of distances between pairs of samples.
metadata : Metadata
    The sample metadata.

Returns
-------
visualization : Visualization
		\
   ]]>
	</help>
</tool>