fixed tests messages

Author: DvirDukhan

src/model.c

@@ -177,22 +177,6 @@ static void RAI_Model_AofRewrite(RedisModuleIO *aof, RedisModuleString *key, voi
     outputs_ = array_append(outputs_, RedisModule_CreateString(ctx, model->outputs[i], strlen(model->outputs[i])));
   }
 
-<<<<<<< HEAD
-=======
-  long long chunk_size = getModelChunkSize();
-  const size_t n_chunks = len / chunk_size + 1;
-  RedisModuleString **buffers_ = array_new(RedisModuleString*, n_chunks);
-
-  for (size_t i=0; i<n_chunks; i++) {
-    size_t chunk_len = i < n_chunks - 1 ? chunk_size : len % chunk_size;
-    buffers_ = array_append(buffers_, RedisModule_CreateString(ctx, buffer + i * chunk_size, chunk_len));
-  }
-
-  if (buffer) {
-    RedisModule_Free(buffer);
-  }
-
->>>>>>> 4f51679... Safely add to arrays + fix for #443 (#449)
   const char* backendstr = RAI_BackendName(model->backend);
 
   RedisModule_EmitAOF(aof, "AI.MODELSET", "slccclclcvcvb",

test/tests_dag.py

@@ -270,7 +270,7 @@ def test_dag_scriptrun_errors(env):
     except Exception as e:
         exception = e
         env.assertEqual(type(exception), redis.exceptions.ResponseError)
-        env.assertEqual("ERR unsupported command within DAG",exception.__str__())
+        env.assertEqual("function name not specified", exception.__str__())
 
 
 def test_dag_modelrun_financialNet_errors(env):
@@ -305,7 +305,7 @@ def test_dag_modelrun_financialNet_errors(env):
     except Exception as e:
         exception = e
         env.assertEqual(type(exception), redis.exceptions.ResponseError)
-        env.assertEqual("ERR unsupported command within DAG",exception.__str__())
+        env.assertEqual("Number of names given as INPUTS during MODELSET and keys given as INPUTS here do not match", exception.__str__())
 
 
 def test_dag_local_tensorset(env):

test/tests_tensorflow.py

@@ -458,7 +458,7 @@ def test_run_tf_model_errors(env):
     except Exception as e:
         exception = e
         env.assertEqual(type(exception), redis.exceptions.ResponseError)
-        env.assertEqual("tensor key is empty", exception.__str__())
+        env.assertEqual("Number of names given as OUTPUTS during MODELSET and keys given as OUTPUTS here do not match", exception.__str__())
 
     try:
         con.execute_command('AI.MODELRUN', 'm{1}', 'OUTPUTS', 'c{1}')