python 3 update with contrib error corrected

NSpM-project/ask.sh

@@ -2,7 +2,7 @@
 
 cd nmt
 echo "$2" > to_ask.txt
-python -m nmt.nmt  --vocab_prefix=../$1/vocab --model_dir=../$1_model  --inference_input_file=./to_ask.txt  --inference_output_file=./output.txt --out_dir=../$1_model --src=en --tgt=sparql | tail -n4
+python -m nmt.nmt  --vocab_prefix=../$1_model/vocab --model_dir=../$1_model  --inference_input_file=./to_ask.txt  --inference_output_file=./output.txt --out_dir=../$1_model --src=en --tgt=sparql | tail -n4
 
 if [ $? -eq 0 ]
 then

NSpM-project/generator_utils.py

@@ -1,11 +1,11 @@
 import collections
-import httplib
+import http.client
 import json
 import logging
 import re
 import sys
 import urllib
-import urllib2
+from urllib.request import urlopen
 
 ENDPOINT = "http://dbpedia.org/sparql"
 GRAPH = "http://dbpedia.org"
@@ -44,10 +44,10 @@ def query_dbpedia( query ):
     param["timeout"] = "600" # ten minutes - works with Virtuoso endpoints
     param["debug"] = "on"
     try:
-        resp = urllib2.urlopen(ENDPOINT + "?" + urllib.urlencode(param))
+        resp = urllib.request.urlopen(ENDPOINT + "?" + urllib.parse.urlencode(param))
         j = resp.read()
         resp.close()
-    except (urllib2.HTTPError, httplib.BadStatusLine):
+    except (urllib.error.HTTPError, http.client.BadStatusLine):
         logging.debug("*** Query error. Empty result set. ***")
         j = '{ "results": { "bindings": [] } }'
     sys.stdout.flush()

NSpM-project/interpreter.py

@@ -11,13 +11,13 @@
 
 """
 import sys
-
+from importlib import reload
 from generator_utils import decode
 
 if __name__ == '__main__':
     reload(sys)
-    sys.setdefaultencoding("utf-8")
+    #sys.setdefaultencoding("utf-8")
 
     encoded_sparql = sys.argv[1]
     decoded_sparql = decode(encoded_sparql)
-    print decoded_sparql
+    print(decoded_sparql)

NSpM-project/nmt/nmt/model_helper.py

@@ -175,7 +175,7 @@ def create_infer_model(model_creator, hparams, scope=None, single_cell_fn=None):
     src_placeholder = tf.placeholder(shape=[None], dtype=tf.string)
     batch_size_placeholder = tf.placeholder(shape=[], dtype=tf.int64)
 
-    src_dataset = tf.contrib.data.Dataset.from_tensor_slices(
+    src_dataset = tf.data.Dataset.from_tensor_slices(
         src_placeholder)
     iterator = iterator_utils.get_infer_iterator(
         src_dataset,

NSpM-project/nmt/nmt/utils/misc_utils.py

@@ -29,8 +29,8 @@
 
 
 def check_tensorflow_version():
-  if tf.__version__ < "1.2.1":
-    raise EnvironmentError("Tensorflow version must >= 1.2.1")
+  if tf.__version__ < "1.15.0":
+    raise EnvironmentError("Tensorflow version must >= 1.15.0")
 
 
 def safe_exp(value):

NSpM-project/nmt/output.txt

@@ -1 +1 @@
-select var_a where brack_open <unk> dbo_abstract var_a brack_close
+select var_a where brack_open dbr_Edward_VII_Monument_ par_open Montreal par_close dbo_location var_a brack_close

NSpM-project/nmt/to_ask.txt

@@ -1 +1 @@
-what about the louvre
+where is edward vii monument located in?