Deprecated kcdf density from gsva fixing numba issue

saezlab · Aug 5, 2024 · 0b3d9a9 · 0b3d9a9
1 parent 0a24fa9
commit 0b3d9a9
Showing 1 changed file with 6 additions and 6 deletions.
diff --git a/decoupler/method_gsva.py b/decoupler/method_gsva.py
@@ -71,18 +71,18 @@ def mat_d(mat, pre_cdf):
 
 
 def density(mat, kcdf=False):
-    if kcdf:
-        pre_cdf = init_cdfs()
-        mat = mat_d(mat, pre_cdf)
-    else:
-        mat = mat_ecdf(mat)
+    #if kcdf:
+    #    pre_cdf = init_cdfs()
+    #    mat = mat_d(mat, pre_cdf)
+    #else:
+    mat = mat_ecdf(mat)
     return mat
 
 
 @nb.njit(nb.types.Tuple((nb.f4[:, :], nb.i8[:, :]))(nb.f4[:, :]), parallel=True, cache=True)
 def nb_get_D_I(mat):
     n = mat.shape[1]
-    rev_idx = np.abs(np.arange(n, stop=0, step=-1, dtype=nb.f4) - n / 2)
+    rev_idx = np.abs(np.arange(n, 0, -1, nb.f4) - n / 2)
     Idx = np.zeros(mat.shape, dtype=nb.i8)
     for i in nb.prange(mat.shape[0]):
         Idx[i] = np.argsort(-mat[i])