diff --git a/Pretaitement_des_donnes_de_mapping.py b/Pretaitement_des_donnes_de_mapping.py
index 4290d506b052ec145411e3078dca73da0049630f..824c3a672eaf44b038dedfc5ecbaa87eb1b5ad60 100644
--- a/Pretaitement_des_donnes_de_mapping.py
+++ b/Pretaitement_des_donnes_de_mapping.py
@@ -80,9 +80,6 @@ def recup_tout_les_pathways (Dossier, input_fill_name_without_num, output_fill,
     tout_les_pathways.to_excel(excel_sortie)
     excel_sortie.close()
 
-#recup_tout_les_pathways ("C:\\Users\\mumec\\Desktop\\fichier_en_cours_dutilisation\\", "ExportExcel_4311-", "C:\\Users\\mumec\\Desktop\\fichier_en_cours_dutilisation\\MetExplore_R22_L100_Pathways_avec_metabolites.xlsx", 59,nombre_de_fichier,num_colonne_t_or_f=5)
-
-
 
 def mise_en_forme_CPDB_mapping (Results_fill, correspondance_fill, output_fill):
 
@@ -186,7 +183,3 @@ def pretraitement_resultats_Ramp (Resultas_Ramp, output_file, pathways_IDs='oui'
   P_et_M.to_excel(excel_file,sheet_name="Pathways_et_les_metas")
   P_et_M_name.to_excel(excel_file,sheet_name="Pathways_et_les_metas_name")
   excel_file.close()
-
-
-
-#pretraitement_resultats_Ramp ("C:\\Users\\mumec\\Desktop\\Mini_codes\\results_LTest_V0_ramp_pathways.csv", "C:\\Users\\mumec\\Desktop\\Mini_codes\\results_LTest_V0_ramp_pathways_listes.xlsx", pathways_IDs='oui')
\ No newline at end of file
diff --git a/tool_of_mapping_results_treatments.py b/tool_of_mapping_results_treatments.py
index c7fcee83411eec6032a75df04b15b0dba315e6c8..67f7b9752c8bfbd2b51b71c2726ae2945b1f02de 100644
--- a/tool_of_mapping_results_treatments.py
+++ b/tool_of_mapping_results_treatments.py
@@ -19,9 +19,6 @@ import csv
 
 Pathways_a_enlever=['Metabolic pathways','Biosynthesis of secondary metabolites','Microbial metabolism in diverse environments','Carbon metabolism','2-Oxocarboxylic acid metabolism','Fatty acid metabolism','Biosynthesis of amino acids','Biosynthesis of nucleotide sugars','Biosynthesis of cofactors','Degradation of aromatic compounds','Carbohydrate metabolism','Energy metabolism','Lipid metabolism','Nucleotide metabolism','Amino acid metabolism','Metabolism of other amino acids','Glycan biosynthesis and metabolism','Metabolism of cofactors and vitamins','Metabolism of terpenoids and polyketides','Biosynthesis of other secondary metabolites','Xenobiotics biodegradation and metabolism','Chemical structure transformation maps','Genetic Information Processing','Transcription','Translation','Folding, sorting and degradation','Replication and repair','Information processing in viruses','Environmental Information Processing','Membrane transport','Signal transduction','Signaling molecules and interaction','Cellular Processes','Transport and catabolism','Cell growth and death','Cellular community - eukaryotes','Cellular community - prokaryotes','Cell motility','Immune system','Organismal Systems','Endocrine system','Circulatory system','Digestive system','Excretory system','Nervous system','Sensory system','Development and regeneration','Aging','Environmental adaptation','Human Diseases','Cancer: overview''Cancer: specific types','Infectious disease: viral','Infectious disease: bacterial','Infectious disease: parasitic','Immune disease','Neurodegenerative disease','Substance dependence','Cardiovascular disease','Endocrine and metabolic disease','Drug resistance: antimicrobial','Drug resistance: antineoplastic','Drug Development','Chronology: Antiinfectives','Chronology: Antineoplastics','Chronology: Nervous system agents','Chronology: Other drugs','Target-based classification: G protein-coupled receptors','Target-based classification: Nuclear receptors','Target-based classification: Ion channels','Target-based classification: Transporters','Target-based classification: Enzymes','Structure-based classification','Skeleton-based classification']
 
-Fichier_a_traiter="C:\\Users\\mumec\\Desktop\\Dossier_gitlab_local\\results_LTest_V0_ramp_pathways_pour programme.csv"
-Nom_fichier_de_Sortie="C:\\Users\\mumec\\Desktop\\Dossier_gitlab_local\\resultats_programmeLTest_V0_ramp_pathways.xlsx"
-
 
 ### Function initialization
 
@@ -193,7 +190,3 @@ def traitement_totale_couverture_pathways_et_métabolites(file,Fichier_de_Sortie
     Les_metabolites_et_leurs_pathways.to_excel(excel_file,sheet_name='metabolites et leurs P')
     excel_file.close()
 
-###Ligne de commande pour obtenir les résultats : nécessite 1 fichier de résultat et 1 noms des fichiers de sorties
-
-traitement_totale_couverture_pathways_et_métabolites(Fichier_a_traiter,Nom_fichier_de_Sortie)
-