replace has_key by in

python/mxnet/notebook/callback.py

@@ -367,7 +367,7 @@ def _process_batch(self, param, df_name):
             metrics = {}
         metrics['elapsed'] = datetime.datetime.now() - self.start_time
         for key, value in metrics.items():
-            if not self._data[df_name].has_key(key):
+            if key not in self._data[df_name]:
                 self._data[df_name][key] = []
             self._data[df_name][key].append(value)
 

tests/nightly/TestDoc/doc_spell_checker.py

@@ -92,7 +92,7 @@ def check_doc(file_content, spell_checker, spell_check_ret):
     """
     spell_checker.set_text(file_content)
     for error in spell_checker:
-        if spell_check_ret.has_key(error.word):
+        if error.word in spell_check_ret:
             spell_check_ret[error.word] += 1
         else:
             spell_check_ret[error.word] = 1

tools/accnn/rank_selection.py

@@ -81,7 +81,7 @@ def get_ranksel(model, ratio):
         if nxt_c > EC:
           continue
         nxt_v = dp[now][now_c] + math.log(S[i][d])
-        if dp[nxt].has_key(nxt_c):
+        if nxt_c in dp[nxt]:
           if nxt_v > dp[nxt][nxt_c]:
             dp[nxt][nxt_c] = nxt_v
             dpc[i][nxt_c] = (d,now_c)

tools/accnn/utils.py

@@ -20,6 +20,7 @@
 import json
 import ast
 
+
 def load_model(args):
   devs = mx.cpu() if args.gpus == None else [mx.gpu(int(i)) for i in args.gpus.split(',')]
   return mx.model.FeedForward.load(args.model, args.load_epoch, ctx=devs)
@@ -29,7 +30,7 @@ def topsort(nodes):
   deg = [0]*n
   g = [[] for _ in xrange(n)]
   for i,node in enumerate(nodes):
-    if node.has_key('inputs'):
+    if 'inputs' in node:
       for j in node['inputs']:
         deg[i] += 1
         g[j[0]].append(i)
@@ -45,7 +46,7 @@ def topsort(nodes):
         q.append(j)
   new_ids=dict([(node['name'],i) for i,node in enumerate(res)])
   for node in res:
-    if node.has_key('inputs'):
+    if 'inputs' in node:
       for j in node['inputs']:
         j[0]=new_ids[nodes[j[0]]['name']]
   return res