# HG changeset patch
# User luca_milaz
# Date 1720032533 0
# Node ID ea089c02b73efaabdad7f1374b38705c53165e06
# Parent  1c244b999e1d26ae24b94d9a19d3c66136cb19e8
Uploaded

diff -r 1c244b999e1d -r ea089c02b73e marea_2_0/flux_sampling.py
--- a/marea_2_0/flux_sampling.py	Wed Jul 03 18:37:19 2024 +0000
+++ b/marea_2_0/flux_sampling.py	Wed Jul 03 18:48:53 2024 +0000
@@ -97,12 +97,13 @@
     print(s)
 
 
-def write_to_file(dataset: pd.DataFrame, dest: str)->None:
+def write_to_file(dataset: pd.DataFrame, name: str)->None:
 
     if ARGS.output_format is utils.FileFormat.PICKLE:
-        utils.writePickle(os.path.normpath(dest), dataset)
+        save_path = utils.FilePath(name, ARGS.output_format, prefix = ARGS.output_folder)
+        utils.writePickle(save_path, dataset)
     elif ARGS.output_format is utils.FileFormat.CSV:
-        dataset.to_csv(dest, sep = '\t', index = False)
+        dataset.to_csv(ARGS.output_folder + name + ".csv", sep = '\t', index = False)
 
 def OPTGP_sampler(model:cobra.Model, model_name:str, n_samples:int=1000, thinning:int=100, n_batches:int=1, seed:int=0)-> None:
 
@@ -148,7 +149,7 @@
         samples_batch = pd.read_csv(ARGS.output_folder  +  model_name + '_'+ str(i)+'.csv')
         samplesTotal = pd.concat([samplesTotal, samples_batch], ignore_index = True)
 
-    write_to_file(samplesTotal, ARGS.output_folder + model_name)
+    write_to_file(samplesTotal, model_name)
 
     for i in range(0, n_batches):
         os.remove(ARGS.output_folder +   model_name + '_'+ str(i)+'.csv')