fix: correct parameters in refinement function

src/emgdecompy/emgdecompy.py

@@ -488,20 +488,22 @@ def separation(z, B, Tolx=10e-4, fun=skew, max_iter=10):
     return w_curr
 
 
-def refinement(w_i, z, th_sil=0.9, name="", max_iter=10):
+def refinement(w_i, z, i, th_sil=0.9, filepath="", max_iter=10):
     """
     Parameters
     ----------
         w_i: numpy.ndarray
             current separation vector to refine
         z: numpy.ndarray
             xtended, whitened, centered emg data
+        i: int
+            iteration number
         max_iter: int > 0
             maximum iterations for refinement
         th_sil: float
             silhouette score threshold for accepting a separation vector
-        name: str
-            name to be used when saving pulse trains
+        filepath: str
+            filepath/name to be used when saving pulse trains
 
     Returns
     -------
@@ -566,7 +568,7 @@ def refinement(w_i, z, th_sil=0.9, name="", max_iter=10):
 
     # Save pulse train
     pd.DataFrame(pt_n, columns=["pulse_train"]).rename_axis("sample").to_csv(
-        f"{name}_PT_{i}"
+        f"{filepath}_PT_{i}"
     )
 
     # If silhouette score is greater than threshold, accept estimated source and add w_i to B
@@ -581,7 +583,7 @@ def refinement(w_i, z, th_sil=0.9, name="", max_iter=10):
 
 
 def decomposition(
-    x, M=64, Tolx=10e-4, fun=skew, max_iter_sep=10, th_sil=0.9, name="", max_iter_ref=10
+    x, M=64, Tolx=10e-4, fun=skew, max_iter_sep=10, th_sil=0.9, filepath="", max_iter_ref=10
 ):
     """
     Main function duplicating algorithm
@@ -636,6 +638,6 @@ def decomposition(
         w_i = separation(z, B, Tolx, fun, max_iter_sep)
 
         # Refine
-        B[:i] = refinement(w_i, z, max_iter_ref, th_sil, name)
+        B[:i] = refinement(w_i, z, i, max_iter_ref, th_sil, filepath)
 
     return B