From 77e6baf2b569ee0d1599c797c26f5dbed6342279 Mon Sep 17 00:00:00 2001
From: Paul Romano <paul.k.romano@gmail.com>
Date: Thu, 4 Jun 2015 11:43:21 +0700
Subject: [PATCH] Fix Python 3 error in openmc.tallies module (due to map() not
 returning list in Python 3).

---
 openmc/tallies.py | 24 ++++++++++++------------
 1 file changed, 12 insertions(+), 12 deletions(-)

diff --git a/openmc/tallies.py b/openmc/tallies.py
index 59dd03dde4..512e93c9a7 100644
--- a/openmc/tallies.py
+++ b/openmc/tallies.py
@@ -651,7 +651,7 @@ class Tally(object):
 
         Raises
         ------
-             KeyError : An error when the argument passed to the 'nuclide' 
+             KeyError : An error when the argument passed to the 'nuclide'
              parameter cannot be found in the Tally.
         """
 
@@ -694,7 +694,7 @@ class Tally(object):
 
         Raises
         ------
-             ValueError: An error when the argument passed to the 'score' 
+             ValueError: An error when the argument passed to the 'score'
              parameter cannot be found in the Tally.
         """
 
@@ -816,7 +816,7 @@ class Tally(object):
                         self.get_filter_index(filter.type, bin))
 
             # Apply cross-product sum between all filter bin indices
-            filter_indices = map(sum, itertools.product(*filter_indices))
+            filter_indices = list(map(sum, itertools.product(*filter_indices)))
 
         # If user did not specify any specific Filters, use them all
         else:
@@ -874,7 +874,7 @@ class Tally(object):
         This routine constructs a Pandas DataFrame object for the Tally data
         with columns annotated by filter, nuclide and score bin information.
         This capability has been tested for Pandas >=v0.13.1. However, if p
-        possible, it is recommended to use the v0.16 or newer versions of 
+        possible, it is recommended to use the v0.16 or newer versions of
         Pandas since this this routine uses the Multi-index Pandas feature.
 
         Parameters
@@ -951,7 +951,7 @@ class Tally(object):
 
                     # Append Mesh ID as outermost index of mult-index
                     mesh_id = filter.mesh.id
-                    mesh_key = 'mesh {0}'.format(mesh_id) 
+                    mesh_key = 'mesh {0}'.format(mesh_id)
 
                     # Find mesh dimensions - use 3D indices for simplicity
                     if (len(filter.mesh.dimension) == 3):
@@ -1013,8 +1013,8 @@ class Tally(object):
                         # offsets to OpenCG LocalCoords linked lists
                         offsets_to_coords = {}
 
-                        # Use OpenCG to compute LocalCoords linked list for 
-                        # each region and store in dictionary 
+                        # Use OpenCG to compute LocalCoords linked list for
+                        # each region and store in dictionary
                         for region in range(num_regions):
                             coords = opencg_geometry.findRegion(region)
                             path = opencg.get_path(coords)
@@ -1023,7 +1023,7 @@ class Tally(object):
                             # If this region is in Cell corresponding to the
                             # distribcell filter bin, store it in dictionary
                             if cell_id == filter.bins[0]:
-                                offset = openmc_geometry.get_offset(path, 
+                                offset = openmc_geometry.get_offset(path,
                                      filter.offset)
                                 offsets_to_coords[offset] = coords
 
@@ -1053,7 +1053,7 @@ class Tally(object):
                             lat_y_key = (level_key, 'lat', 'y')
                             lat_z_key = (level_key, 'lat', 'z')
 
-                            # Allocate NumPy arrays for each CSG level and 
+                            # Allocate NumPy arrays for each CSG level and
                             # each Multi-index column in the DataFrame
                             level_dict[univ_key] = np.empty(num_offsets)
                             level_dict[cell_key] = np.empty(num_offsets)
@@ -1113,9 +1113,9 @@ class Tally(object):
                                 tile_factor = data_size / len(level_bins)
                                 level_bins = np.tile(level_bins, tile_factor)
                                 level_dict[level_key] = level_bins
-           
+
                             # Append the multi-index column to the DataFrame
-                            df = pd.concat([df, pd.DataFrame(level_dict)], 
+                            df = pd.concat([df, pd.DataFrame(level_dict)],
                                            axis=1)
 
                     # Create DataFrame column for distribcell instances IDs
@@ -1132,7 +1132,7 @@ class Tally(object):
                     bins = filter.bins
                     num_bins = filter.num_bins
 
-                    # Create strings for 
+                    # Create strings for
                     template = '{0:.1e} - {1:.1e}'
                     filter_bins = []
                     for i in range(num_bins):