update path

nkululeko/augment.py

@@ -90,6 +90,6 @@ def main():
     config_file = args.config if args.config is not None else "exp.ini"
     doit(config_file)
 
+
 if __name__ == "__main__":
     main()
-

nkululeko/explore.py

@@ -95,4 +95,4 @@ def main():
 
 
 if __name__ == "__main__":
-    main()
+    main()

nkululeko/nkululeko.py

@@ -6,7 +6,6 @@
 
 import numpy as np
 
-
 import nkululeko.experiment as exp
 from nkululeko.constants import VERSION
 from nkululeko.utils.util import Util
@@ -61,7 +60,7 @@ def doit(config_file):
 def main():
     cwd = Path(__file__).parent.absolute()
     parser = argparse.ArgumentParser(description="Call the nkululeko framework.")
-    parser.add_argument('--version', action='version', version=f'Nkululeko {VERSION}')
+    parser.add_argument("--version", action="version", version=f"Nkululeko {VERSION}")
     parser.add_argument("--config", default="exp.ini", help="The base configuration")
     args = parser.parse_args()
     if args.config is not None:
@@ -70,5 +69,6 @@ def main():
         config_file = cwd / "exp.ini"
     doit(config_file)
 
+
 if __name__ == "__main__":
     main()  # use this if you want to state the config file path on command line

nkululeko/resample.py

@@ -37,7 +37,7 @@
 from nkululeko.utils.util import Util
 
 
-def main(src_dir):
+def main():
     parser = argparse.ArgumentParser(
         description="Call the nkululeko RESAMPLE framework."
     )
@@ -140,5 +140,4 @@ def main(src_dir):
 
 
 if __name__ == "__main__":
-    cwd = os.path.dirname(os.path.abspath(__file__))
-    main(cwd)
+    main()

nkululeko/segment.py

@@ -147,4 +147,4 @@ def segment_dataframe(df):
 
 
 if __name__ == "__main__":
-    main() # use this if you want to state the config file path on command line
+    main()  # use this if you want to state the config file path on command line

tests/exp_androids_resample.ini

@@ -6,7 +6,7 @@ epochs = 1
 save = True
 [DATA]
 databases = ['data']
-data = ./data/androids_test/androids.csv
+data = ./data/androids/androids.csv
 data.type = csv
 data.absolute_path = False
 data.split_strategy = random