--- a/qiime2/qiime_sample-classifier_metatable.xml	Thu Sep 03 09:46:00 2020 +0000
+++ b/qiime2/qiime_sample-classifier_metatable.xml	Thu Sep 03 09:51:29 2020 +0000
@@ -1,68 +1,79 @@
 <?xml version="1.0" ?>
-<tool id="qiime_sample-classifier_metatable" name="qiime sample-classifier metatable" version="2019.7">
-	<description> - Convert (and merge) positive numeric metadata (in)to feature table.</description>
-	<requirements>
-		<requirement type="package" version="2019.7">qiime2</requirement>
-	</requirements>
-	<command><![CDATA[
+<tool id="qiime_sample-classifier_metatable" name="qiime sample-classifier metatable"
+      version="2020.8">
+  <description>Convert (and merge) positive numeric metadata (in)to feature table.</description>
+  <requirements>
+    <requirement type="package" version="2020.8">qiime2</requirement>
+  </requirements>
+  <command><![CDATA[
 qiime sample-classifier metatable
 
-
 #if str($itable) != 'None':
- --i-table=$itable
+--i-table=$itable
 #end if
+# if $input_files_mmetadatafile:
+  # 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 + ' --m-metadata-file=' + d['additional_input'].__getattr__('file_name')
+    # end for
+    # return $file_list
+  # end def
+--m-metadata-file=$list_dict_to_string($input_files_mmetadatafile)
+# end if
 
 #if str($pmissingsamples) != 'None':
- --p-missing-samples=$pmissingsamples
+--p-missing-samples=$pmissingsamples
 #end if
 
 #if str($pmissingvalues) != 'None':
- --p-missing-values=$pmissingvalues
+--p-missing-values=$pmissingvalues
+#end if
+
+#if $pdropallunique:
+ --p-drop-all-unique
 #end if
 
+--o-converted-table=oconvertedtable
 
-#if $input_files_mmetadatafile:
-#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 + ' --m-metadata-file=' + d['additional_input'].__getattr__('file_name')
-	#end for
-	#return $file_list
-#end def
- --m-metadata-file=$list_dict_to_string($input_files_mmetadatafile)
+#if str($examples) != 'None':
+--examples=$examples
 #end if
 
-
---o-converted-table=oconvertedtable
 ;
 cp oconvertedtable.qza $oconvertedtable
-	]]></command>
-	<inputs>
-		<param format="qza,no_unzip.zip" label="--i-table: ARTIFACT FeatureTable[Frequency] Feature table containing all features that should be used for target prediction.                  [optional]" name="itable" optional="True" type="data"/>
-		<param label="--p-missing-samples: " name="pmissingsamples" optional="True" type="select">
-			<option selected="True" value="None">Selection is Optional</option>
-			<option value="error">error</option>
-			<option value="ignore">ignore</option>
-		</param>
-		<param label="--p-missing-values: " name="pmissingvalues" optional="True" type="select">
-			<option selected="True" value="None">Selection is Optional</option>
-			<option value="drop_samples">drop_samples</option>
-			<option value="drop_features">drop_features</option>
-			<option value="error">error</option>
-			<option value="fill">fill</option>
-		</param>
 
-		<repeat name="input_files_mmetadatafile" optional="True" 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. [optional]" name="additional_input" type="data" format="tabular,qza,no_unzip.zip" />
-		</repeat>
+  ]]></command>
+  <inputs>
+    <param format="qza,no_unzip.zip" label="--i-table: ARTIFACT FeatureTable[Frequency] Feature table containing all features that should be used for target prediction.                  [optional]" name="itable" optional="False" type="data" />
+    <repeat name="input_files_mmetadatafile" optional="False" title="--m-metadata-file">
+      <param format="tabular,qza,no_unzip.zip" label="--m-metadata-file: METADATA... (multiple          Metadata file to convert to feature table. arguments will be merged)                                                     [required]" name="additional_input" optional="False" type="data" />
+    </repeat>
+    <param label="--p-missing-samples: " name="pmissingsamples" optional="True" type="select">
+      <option selected="True" value="None">Selection is Optional</option>
+      <option value="error">error</option>
+      <option value="ignore">ignore</option>
+    </param>
+    <param label="--p-missing-values: " name="pmissingvalues" optional="True" type="select">
+      <option selected="True" value="None">Selection is Optional</option>
+      <option value="drop_samples">drop_samples</option>
+      <option value="drop_features">drop_features</option>
+      <option value="error">error</option>
+      <option value="fill">fill</option>
+    </param>
+    <param label="--p-drop-all-unique: --p-drop-all-unique: / --p-no-drop-all-unique If True, columns that contain a unique value for every ID will be dropped.                    [default: False]" name="pdropallunique" selected="False" type="boolean" />
+    <param label="--examples: Show usage examples and exit." name="examples" optional="False" type="data" />
+    
+  </inputs>
 
-	</inputs>
-	<outputs>
-		<data format="qza" label="${tool.name} on ${on_string}: convertedtable.qza" name="oconvertedtable"/>
-	</outputs>
-	<help><![CDATA[
+  <outputs>
+    <data format="qza" label="${tool.name} on ${on_string}: convertedtable.qza" name="oconvertedtable" />
+    
+  </outputs>
+
+  <help><![CDATA[
 Convert (and merge) positive numeric metadata (in)to feature table.
-###################################################################
+###############################################################
 
 Convert numeric sample metadata from TSV file into a feature table.
 Optionally merge with an existing feature table. Only numeric metadata will
@@ -72,11 +83,10 @@
 missing_samples="error" to raise an error if samples found in the table are
 missing from the metadata file. The metadata file can always contain a
 superset of samples. Note that columns will be dropped if they are non-
-numeric, contain only unique values, contain no unique values (zero
-variance), contain only empty cells, or contain negative values. This
-method currently only converts postive numeric metadata into feature data.
-Tip: convert categorical columns to dummy variables to include them in the
-output feature table.
+numeric, contain no unique values (zero variance), contain only empty
+cells, or contain negative values. This method currently only converts
+postive numeric metadata into feature data. Tip: convert categorical
+columns to dummy variables to include them in the output feature table.
 
 Parameters
 ----------
@@ -94,14 +104,17 @@
     How to handle missing values (nans) in metadata. Either "drop_samples"
     with missing values, "drop_features" with missing values, "fill"
     missing values with zeros, or "error" if any missing values are found.
+drop_all_unique : Bool, optional
+    If True, columns that contain a unique value for every ID will be
+    dropped.
 
 Returns
 -------
 converted_table : FeatureTable[Frequency]
     Converted feature table
-	]]></help>
-<macros>
+  ]]></help>
+  <macros>
     <import>qiime_citation.xml</import>
-</macros>
-<expand macro="qiime_citation"/>
-</tool>
+  </macros>
+  <expand macro="qiime_citation"/>
+</tool>
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