[execution][loop] LoopChannel.is_result_valid is now validate

This makes things clearer with regard to the validate method
of the associated loop algorithm.

beat/backend/python/execution/loop.py

@@ -83,15 +83,15 @@ class LoopChannel(object):
         answer_format_name = algorithm.loop_map["answer"]
         self.answer_data_format = DataFormat(prefix, answer_format_name)
 
-    def is_result_valid(self, result):
-        """ This method will request validation for the result passed in
+    def validate(self, hypothesis):
+        """ This method will request validation for the hypothesis passed in
         parameter.
 
         Parameters:
-            result (dict) : Computation result that must be validated by the
-            loop algorithm.
+            hypothesis (dict) : Computed hypothesis that must be validated by
+            the loop algorithm.
         """
-        data = make_data_format(result, self.request_data_format)
+        data = make_data_format(hypothesis, self.request_data_format)
 
         self.socket.send_string("val", zmq.SNDMORE)
         self.socket.send(data.pack())
@@ -236,10 +236,10 @@ class LoopExecutor(object):
 
         self.message_handler.start()
 
-    def validate(self, result):
+    def validate(self, hypothesis):
         """Executes the loop validation code"""
 
-        is_valid, answer = self.runner.validate(result)
+        is_valid, answer = self.runner.validate(hypothesis)
         logger.debug("User loop has validated: {}\n{}".format(is_valid, answer))
         return is_valid, answer
 

beat/backend/python/test/prefix/algorithms/autonomous/loop_user/1.py

@@ -30,10 +30,10 @@ class Algorithm:
 
     def process(self, data_loaders, outputs, loop_channel):
         cnt = 10
-        is_valid, _ = loop_channel.is_result_valid({'value': np.int32(cnt)})
+        is_valid, _ = loop_channel.validate({'value': np.int32(cnt)})
         while not is_valid:
             cnt = cnt - 1
-            is_valid, _ = loop_channel.is_result_valid({'value': np.int32(cnt)})
+            is_valid, _ = loop_channel.validate({'value': np.int32(cnt)})
 
         data_loader = data_loaders.loaderOf('in')