[test][prefix] Make loop and loop user algorithm use different dataformat

This will ensure that exporting algorithm works correctly.

beat/backend/python/test/prefix/algorithms/autonomous/loop/1.json

@@ -12,10 +12,10 @@
             },
             "loop": {
                 "request": {
-                    "type": "user/single_integer/1"
+                    "type": "user/1d_array_of_integers/1"
                 },
                 "answer": {
-                    "type": "user/single_integer/1"
+                    "type": "user/single_integer64/1"
                 }
             }
         }

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

@@ -33,16 +33,17 @@
 #                                                                                 #
 ###################################################################################
 
+import numpy as np
 
-class Algorithm:
 
+class Algorithm:
     def __init__(self):
         self.threshold = None
 
     def setup(self, parameters):
-        self.threshold = parameters['threshold']
+        self.threshold = parameters["threshold"]
         return True
 
     def validate(self, result):
-        value = result.value
-        return (value < self.threshold, {'value': value})
+        value = result.value[0]
+        return (value < self.threshold, {"value": np.int64(value)})

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

@@ -18,10 +18,10 @@
             },
             "loop": {
                 "request": {
-                    "type": "user/single_integer/1"
+                    "type": "user/1d_array_of_integers/1"
                 },
                 "answer": {
-                    "type": "user/single_integer/1"
+                    "type": "user/single_integer64/1"
                 }
             }
         }

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

@@ -36,26 +36,22 @@
 
 import numpy as np
 
-class Algorithm:
 
+class Algorithm:
     def process(self, data_loaders, outputs, loop_channel):
         cnt = 10
-        is_valid, _ = loop_channel.validate({'value': np.int32(cnt)})
+        is_valid, _ = loop_channel.validate({"value": np.full(10, cnt)})
         while not is_valid:
             cnt = cnt - 1
-            is_valid, _ = loop_channel.validate({'value': np.int32(cnt)})
+            is_valid, _ = loop_channel.validate({"value": np.full(10, cnt)})
 
-        data_loader = data_loaders.loaderOf('in')
+        data_loader = data_loaders.loaderOf("in")
 
         for i in range(data_loader.count()):
-            view = data_loader.view('in', i)
+            view = data_loader.view("in", i)
             (data, start, end) = view[view.count() - 1]
-            value = data['in'].value
+            value = data["in"].value
             new_value = value + cnt
-            outputs['out'].write({
-                    'value': np.int32(new_value),
-                },
-                end
-            )
+            outputs["out"].write({"value": np.int32(new_value)}, end)
 
         return True

beat/backend/python/test/prefix/algorithms/sequential/loop_user/1.json

@@ -18,10 +18,10 @@
             },
             "loop": {
                 "request": {
-                    "type": "user/single_integer/1"
+                    "type": "user/1d_array_of_integers/1"
                 },
                 "answer": {
-                    "type": "user/single_integer/1"
+                    "type": "user/single_integer64/1"
                 }
             }
         }

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

@@ -40,10 +40,10 @@ import numpy as np
 class Algorithm:
     def process(self, inputs, data_loaders, outputs, loop_channel):
         cnt = 10
-        is_valid, _ = loop_channel.validate({"value": np.int32(cnt)})
+        is_valid, _ = loop_channel.validate({"value": np.full(10, cnt)})
         while not is_valid:
             cnt = cnt - 1
-            is_valid, _ = loop_channel.validate({"value": np.int32(cnt)})
+            is_valid, _ = loop_channel.validate({"value": np.full(10, cnt)})
 
         value = inputs["in"].data.value
         new_value = value + cnt