1 files changed, 10 insertions, 10 deletions
diff --git a/src/python/gudhi/datasets/generators/points/torus.py b/src/python/gudhi/datasets/generators/points/torus.py
index 5a2b9016..1df0a930 100644
--- a/src/python/gudhi/datasets/generators/points/torus.py
+++ b/src/python/gudhi/datasets/generators/points/torus.py
@@ -10,33 +10,33 @@
 import numpy as np
 import itertools
 
-def generate_random_points(num_points, dim):
+def generate_random_points(n_samples, dim):
 
-    # Generate random angles of size num_points*dim
-    alpha = 2*np.pi*np.random.rand(num_points*dim)
+    # Generate random angles of size n_samples*dim
+    alpha = 2*np.pi*np.random.rand(n_samples*dim)
 
-    # Based on angles, construct points of size num_points*dim on a circle and reshape the result in a num_points*2*dim array    
+    # Based on angles, construct points of size n_samples*dim on a circle and reshape the result in a n_samples*2*dim array
     array_points = np.column_stack([np.cos(alpha), np.sin(alpha)]).reshape(-1, 2*dim)
     
     return array_points
 
-def generate_grid_points(num_points, dim):
+def generate_grid_points(n_samples, dim):
     
-    num_points_grid = int(num_points**(1./dim))
-    alpha = np.linspace(0, 2*np.pi, num_points_grid, endpoint=False)
+    n_samples_grid = int(n_samples**(1./dim))
+    alpha = np.linspace(0, 2*np.pi, n_samples_grid, endpoint=False)
     
     array_points_inter = np.column_stack([np.cos(alpha), np.sin(alpha)])
     array_points = np.array(list(itertools.product(array_points_inter, repeat=dim))).reshape(-1, 2*dim)
     
     return array_points
 
-def generate_points(num_points, dim, sample='random'):
+def generate_points(n_samples, dim, sample='random'):
     if sample == 'random':
         print("Sample is random")
-        generate_random_points(num_points, dim)
+        generate_random_points(n_samples, dim)
     elif sample == 'grid':
         print("Sample is grid")
-        generate_grid_points(num_points, dim)
+        generate_grid_points(n_samples, dim)
     else:
         print("Sample type '{}' is not supported".format(sample))
         return