Resolve "release v1.4.0"

Closes #317 (closed)

mlair/run_modules/experiment_setup.py

@@ -6,6 +6,7 @@ import logging
 import os
 import sys
 from typing import Union, Dict, Any, List, Callable
+from dill.source import getsource
 
 from mlair.configuration import path_config
 from mlair import helpers
@@ -217,7 +218,7 @@ class ExperimentSetup(RunEnvironment):
                  hpc_hosts=None, model=None, batch_size=None, epochs=None, data_handler=None,
                  data_origin: Dict = None, competitors: list = None, competitor_path: str = None,
                  use_multiprocessing: bool = None, use_multiprocessing_on_debug: bool = None,
-                 max_number_multiprocessing: int = None, **kwargs):
+                 max_number_multiprocessing: int = None, start_script: Union[Callable, str] = None, **kwargs):
 
         # create run framework
         super().__init__()
@@ -366,6 +367,10 @@ class ExperimentSetup(RunEnvironment):
         # set model architecture class
         self._set_param("model_class", model, VanillaModel)
 
+        # store starting script if provided
+        if start_script is not None:
+            self._store_start_script(start_script, experiment_path)
+
         # set remaining kwargs
         if len(kwargs) > 0:
             for k, v in kwargs.items():
@@ -387,6 +392,18 @@ class ExperimentSetup(RunEnvironment):
         logging.debug(f"set experiment attribute: {param}({scope})={value}")
         return value
 
+    @staticmethod
+    def _store_start_script(start_script, store_path):
+        out_file = os.path.join(store_path, "start_script.txt")
+        if isinstance(start_script, Callable):
+            with open(out_file, "w") as fh:
+                fh.write(getsource(start_script))
+        if isinstance(start_script, str):
+            with open(start_script, 'r') as f:
+                with open(out_file, "w") as out:
+                    for line in (f.readlines()):
+                        print(line, end='', file=out)
+
     def _compare_variables_and_statistics(self):
         """
         Compare variables and statistics.