Fixed issue that random seed was not set in each workflow module.

Snakefile

@@ -6,21 +6,24 @@ DIR = 'workflows'
 if config['random_seed'] is not None:
     np.random.seed(config['random_seed'])
 
+module_config = {'data_dir': config['data_dir'],
+                 'random_seed': config['random_seed']}
+
 module ann_data:
     snakefile: DIR + '/ANN_data.smk'
-    config: {**config['ANN_Data'], 'data_dir': config['data_dir']}
+    config: {**config['ANN_Data'], **module_config}
 
 use rule * from ann_data as ANN_*
 
 module ann_training:
     snakefile: DIR + '/ANN_training.smk'
-    config: {**config['ANN_Training'], 'data_dir':config['data_dir']}
+    config: {**config['ANN_Training'], **module_config}
 
 use rule * from ann_training as ANN_*
 
 module approximation:
     snakefile: DIR + '/approximation.smk'
-    config: {**config['Approximation'], 'data_dir': config['data_dir']}
+    config: {**config['Approximation'], **module_config}
 
 use rule * from approximation as DG_*
 

workflows/ANN_data.smk

 import sys
 import time
-
-configfile: 'config.yaml'
+import numpy as np
 
 import ANN_Data_Generator, Initial_Condition
 
+configfile: 'config.yaml'
+
 DIR = config['data_dir']
-# if config['random_seed'] is not None:
-#     np.random.seed(config['random_seed'])
+if config['random_seed'] is not None:
+    np.random.seed(config['random_seed'])
 
 rule generate_data:
     output:

workflows/ANN_training.smk

 import sys
+import numpy as np
 
 import ANN_Training
 from ANN_Training import *
@@ -7,8 +8,8 @@ configfile: 'config.yaml'
 
 DIR = config['data_dir']
 MODELS = config['models']
-# if config['random_seed'] is not None:
-#     np.random.seed(config['random_seed'])
+if config['random_seed'] is not None:
+    np.random.seed(config['random_seed'])
 
 rule all:
     input:

workflows/approximation.smk

 import sys
 import time
+import numpy as np
 
 from DG_Approximation import DGScheme
 
@@ -8,8 +9,8 @@ configfile: 'config.yaml'
 PLOTS = ['error', 'exact_and_approx', 'semilog_error', 'shock_tube']
 DIR = config['data_dir']
 SCHEMES = config['schemes']
-# if config['random_seed'] is not None:
-#     np.random.seed(config['random_seed'])
+if config['random_seed'] is not None:
+    np.random.seed(config['random_seed'])
 
 rule all:
     input: