Restricted: Allow newer pandas versions

There are newer pandas versions which still support python2. The latest
one which still supports py2 (0.24.x) has initially been released in 2019
and should therefore be quite stable and better supported. We should
therefore prepare ERP5 so that it support those newer versions.

product/ERP5Type/patches/Restricted.py

@@ -489,8 +489,14 @@ else:
   allow_type(pd.DatetimeIndex)
   allow_type(pd.MultiIndex)
   allow_type(pd.Index)
-  allow_type(pd.indexes.range.RangeIndex)
-  allow_type(pd.indexes.numeric.Int64Index)
+  try:                    # for pandas < 0.20.x
+    allow_type(pd.indexes.range.RangeIndex)
+  except AttributeError:  # for pandas >= 0.20.x
+    allow_type(pd.RangeIndex)
+  try:                    # for pandas < 0.20.x
+    allow_type(pd.indexes.numeric.Int64Index)
+  except AttributeError:  # for pandas >= 0.20.x
+    allow_type(pd.Int64Index)
   allow_type(pd.core.groupby.DataFrameGroupBy)
   allow_type(pd.core.groupby.SeriesGroupBy)
 
@@ -513,10 +519,15 @@ else:
   ContainerAssertions[pd.DataFrame] = _check_access_wrapper(
     pd.DataFrame, dict.fromkeys(dataframe_black_list, restrictedMethod))
 
+  try:                    # for pandas < 0.20.x
+    pd_DatetimeIndex = pd.tseries.index.DatetimeIndex
+  except AttributeError:  # for pandas >= 0.20.x
+    pd_DatetimeIndex = pd.DatetimeIndex
+
   safetype.update(dict.fromkeys((
     pd.DataFrame,
     pd.Series,
-    pd.tseries.index.DatetimeIndex,
+    pd_DatetimeIndex,
     pd.core.indexing._iLocIndexer,
     pd.core.indexing._LocIndexer,
     pd.MultiIndex,

[Kazuhiko Shiozaki]

@levin.zimmermann I prefer 'try newer first' order like

  try:                    # for pandas >= 0.20.x
    allow_type(pd.RangeIndex)
  except AttributeError:  # BBB for pandas < 0.20.x
    allow_type(pd.indexes.range.RangeIndex)

and put 'BBB' marker, that means 'backward compatibility'.

[Levin Zimmermann]

Thanks Kazuhiko! I'll amend it.

[Levin Zimmermann]

done with 8080fb43