Added *.swp to gitignore

Author: davidecaroselli

.gitignore

@@ -8,6 +8,9 @@ javah/
 
 build/
 
+# Bash vim
+*.swp
+
 # CMake
 cmake-build-*
 

src/decoder-opennmt/src/python/nmt_decoder.py

@@ -6,7 +6,7 @@
 from onmt.opennmt import OpenNMTDecoder
 
 import logging
-logging.basicConfig(level=logging.INFO)
+
 
 class TranslationRequest:
     def __init__(self, source, suggestions=None):
@@ -102,37 +102,37 @@ def run_main():
     parser.add_argument('-g', '-gpu', dest='gpu', metavar='GPU', help='the index of the GPU to use',
                         default=-1)
 
-    parser.add_argument('-beam_size',  type=int, default=5,
-                    help='Beam size')
+    parser.add_argument('-beam_size', type=int, default=5,
+                        help='Beam size')
     parser.add_argument('-batch_size', type=int, default=30,
-                    help='Batch size')
+                        help='Batch size')
     parser.add_argument('-max_sent_length', type=int, default=100,
-                    help='Maximum sentence length.')
+                        help='Maximum sentence length.')
     parser.add_argument('-replace_unk', action="store_true",
-                    help="""Replace the generated UNK tokens with the source
+                        help="""Replace the generated UNK tokens with the source
                     token that had the highest attention weight. If phrase_table
                     is provided, it will lookup the identified source token and
                     give the corresponding target token. If it is not provided
                     (or the identified source token does not exist in the
                     table) then it will copy the source token""")
     parser.add_argument('-verbose', action="store_true",
-                    help='Print scores and predictions for each sentence')
+                        help='Print scores and predictions for each sentence')
     parser.add_argument('-dump_beam', type=str, default="",
-                    help='File to dump beam information to.')
+                        help='File to dump beam information to.')
     parser.add_argument('-n_best', type=int, default=1,
-                    help="""If verbose is set, will output the n_best
+                        help="""If verbose is set, will output the n_best
                     decoded sentences""")
     parser.add_argument('-tuning_epochs', type=int, default=5,
-                    help='Number of tuning epochs')
+                        help='Number of tuning epochs')
 
-#seed for generating random numbers
-    parser.add_argument('-seed',       type=int, default=3435,
-                    help="Random seed for generating random numbers (-1 for un-defined the seed; default is 3435); ")
+    # seed for generating random numbers
+    parser.add_argument('-seed', type=int, default=3435,
+                        help="Random seed for generating random numbers (-1 for un-defined the seed; default is 3435); ")
 
     parser.add_argument('-tunable', action="store_true",
-                    help='Enable fine tuning')
+                        help='Enable fine tuning')
     parser.add_argument('-reset', action="store_true",
-                    help='Reset model to the original model after each translation')
+                        help='Reset model to the original model after each translation')
 
     args = parser.parse_args()