increase code maintenance + enabled strict usage of run_args, overwri…

…tting all other arguments that are provided via neps.run(...) + Enable loading the pipeline_space provided as a dictionary from YAML and the loading of the BaseOptimizer as searcher from YAML

neps/api.py

@@ -219,50 +219,49 @@ def run(
         del searcher_kwargs["budget"]
     logger = logging.getLogger("neps")
 
-
     # if arguments via run_args provided overwrite them
     if run_args:
         logger.info(
-            "Loading arguments from 'run_args'. Any arguments directly provided to the "
-            ".run() method will be overwritten by those specified in 'run_args', but only"
-            " for arguments that are explicitly provided in 'run_args'."
+            "WARNING: Loading arguments from 'run_args'. Arguments directly provided "
+            "to neps.run(...) will be not used!"
         )
 
         optim_settings = get_run_args_from_yaml(run_args)
 
-        # Update each argument based on optimization_settings
-        run_pipeline = optim_settings.get("run_pipeline", run_pipeline)
-        root_directory = optim_settings.get("root_directory", root_directory)
-        pipeline_space = optim_settings.get("pipeline_space", pipeline_space)
+        # Update each argument based on optimization_settings, if not provided in yaml
+        # use default value, strict but will change in the future
+        run_pipeline = optim_settings.get("run_pipeline", None)
+        root_directory = optim_settings.get("root_directory", None)
+        pipeline_space = optim_settings.get("pipeline_space", None)
         overwrite_working_directory = optim_settings.get(
-            "overwrite_working_directory", overwrite_working_directory
+            "overwrite_working_directory", False
         )
-        post_run_summary = optim_settings.get("post_run_summary", post_run_summary)
+        post_run_summary = optim_settings.get("post_run_summary", False)
         development_stage_id = optim_settings.get(
-            "development_stage_id", development_stage_id
+            "development_stage_id", None
         )
-        task_id = optim_settings.get("task_id", task_id)
+        task_id = optim_settings.get("task_id", None)
         max_evaluations_total = optim_settings.get(
-            "max_evaluations_total", max_evaluations_total
+            "max_evaluations_total", None
         )
         max_evaluations_per_run = optim_settings.get(
-            "max_evaluations_per_run", max_evaluations_per_run
+            "max_evaluations_per_run", None
         )
         continue_until_max_evaluation_completed = optim_settings.get(
             "continue_until_max_evaluation_completed",
-            continue_until_max_evaluation_completed,
+            False,
         )
-        max_cost_total = optim_settings.get("max_cost_total", max_cost_total)
-        ignore_errors = optim_settings.get("ignore_errors", ignore_errors)
+        max_cost_total = optim_settings.get("max_cost_total", None)
+        ignore_errors = optim_settings.get("ignore_errors", False)
         loss_value_on_error = optim_settings.get(
-            "loss_value_on_error", loss_value_on_error
+            "loss_value_on_error", None
         )
         cost_value_on_error = optim_settings.get(
-            "cost_value_on_error", cost_value_on_error
+            "cost_value_on_error", None
         )
-        pre_load_hooks = optim_settings.get("pre_load_hooks", pre_load_hooks)
-        searcher = optim_settings.get("searcher", searcher)
-        searcher_path = optim_settings.get("searcher_path", searcher_path)
+        pre_load_hooks = optim_settings.get("pre_load_hooks", None)
+        searcher = optim_settings.get("searcher", "default")
+        searcher_path = optim_settings.get("searcher_path", None)
         for key, value in optim_settings.get("searcher_kwargs", {}).items():
             searcher_kwargs[key] = value