py3: modernize -j20 --write -f dict_six **py ( manually adjusted )

adjusted to use ensure_list to not allocate a new list on py2

bt5/erp5_wendelin_data_lake_ingestion/SkinTemplateItem/portal_skins/erp5_wendelin_data_lake/ERP5Site_getDataStreamList.py

 """
 This script is called from ebulk client to get list of Data Streams for a Data set.
 """
+from Products.ERP5Type.Utils import ensure_list
 import json
 from erp5.component.module.Log import log
 
@@ -40,5 +41,5 @@ for stream_brain in data_stream_list:
                                     'large-hash': version,
                                     'full-size': size}
 
-result_dict = { 'status_code': 0, 'result': data_stream_dict.values()}
+result_dict = { 'status_code': 0, 'result': ensure_list(data_stream_dict.values())}
 return json.dumps(result_dict)

bt5/erp5_wendelin_inventory/ExtensionTemplateItem/portal_components/extension.erp5.PandasInventory.py

@@ -5,6 +5,7 @@ from six.moves import range
 import transaction
 from DateTime import DateTime
 from wendelin.bigarray.array_zodb import ZBigArray
+import six
 
 
 class ZBigArrayConverter(object):
@@ -420,7 +421,7 @@ class InventoryDataFrameQuery(object):
   def _filterCategoryParameters(self, **kw):
     category_kw = {}
     keys_to_delete = []
-    for key, value in kw.iteritems():
+    for key, value in six.iteritems(kw):
       for field in self.FIELDS_WITH_CATEGORY:
         regex = re.compile(r'%s_.*_uid$' % field)
         if regex.match(key):
@@ -547,7 +548,7 @@ class InventoryDataFrameQuery(object):
   
   def _filterCategories(self):
     partial_filter = self._true_array()
-    for field, value in self.category_kw.iteritems():
+    for field, value in six.iteritems(self.category_kw):
       if self.duplicated_categories:
         partial_filter = (partial_filter) & (self.df[field] == value)
       else: