Change logger.exception to logger.error

logger.exception is designed to be used inside an exception handler as
the exception info is added to the logging message.

gprMax/config.py

@@ -218,15 +218,15 @@ class SimulationConfig:
         )  # For depreciated Python blocks
 
         if self.taskfarm and self.geometry_fixed:
-            logger.exception("The geometry fixed option cannot be used with MPI taskfarm.")
+            logger.error("The geometry fixed option cannot be used with MPI taskfarm.")
             raise ValueError
 
         if self.gpu and self.opencl:
-            logger.exception("You cannot use both CUDA and OpenCl simultaneously.")
+            logger.error("You cannot use both CUDA and OpenCl simultaneously.")
             raise ValueError
 
         if self.mpi and hasattr(self.args, "subgrid") and self.args.subgrid:
-            logger.exception("You cannot use subgrids with MPI.")
+            logger.error("You cannot use subgrids with MPI.")
             raise ValueError
 
         # Each model in a simulation is given a unique number when the instance of ModelConfig is created
@@ -245,7 +245,7 @@ class SimulationConfig:
         #     or when specified by the user.
 
         if args.show_progress_bars and args.hide_progress_bars:
-            logger.exception("You cannot both show and hide progress bars.")
+            logger.error("You cannot both show and hide progress bars.")
             raise ValueError
 
         self.general = {
@@ -302,7 +302,7 @@ class SimulationConfig:
             if (self.general["subgrid"] and self.general["solver"] == "cuda") or (
                 self.general["subgrid"] and self.general["solver"] == "opencl"
             ):
-                logger.exception(
+                logger.error(
                     "You cannot currently use CUDA or OpenCL-based solvers with models that contain sub-grids."
                 )
                 raise ValueError
@@ -401,7 +401,7 @@ class SimulationConfig:
                 return dev
 
         if not found:
-            logger.exception(f"Compute device with device ID {deviceID} does " "not exist.")
+            logger.error(f"Compute device with device ID {deviceID} does " "not exist.")
             raise ValueError
 
     def get_model_config(self, model_num: Optional[int] = None) -> ModelConfig:
@@ -418,7 +418,7 @@ class SimulationConfig:
 
         model_config = self.model_configs[model_num]
         if model_config is None:
-            logger.exception(f"Cannot get ModelConfig for model {model_num}. It has not been set.")
+            logger.error(f"Cannot get ModelConfig for model {model_num}. It has not been set.")
             raise ValueError
 
         return model_config

gprMax/contexts.py

@@ -168,7 +168,7 @@ class MPIContext(Context):
 
         requested_mpi_size = np.product(config.sim_config.mpi)
         if self.comm.size < requested_mpi_size:
-            logger.exception(
+            logger.error(
                 (
                     f"MPI_COMM_WORLD size of {self.comm.size} is too small for requested dimensions of"
                     f" {config.sim_config.mpi}. {requested_mpi_size} ranks are required."
@@ -290,7 +290,7 @@ class TaskfarmContext(Context):
             and config.sim_config.general["solver"] == "cuda"
             and executor.size - 1 > len(config.sim_config.devices["devs"])
         ):
-            logger.exception(
+            logger.error(
                 "Not enough GPU resources for number of "
                 "MPI tasks requested. Number of MPI tasks "
                 "should be equal to number of GPUs + 1."