diff --git a/src/helpers/utils.R b/src/helpers/utils.R
index 44301af..53747a7 100644
--- a/src/helpers/utils.R
+++ b/src/helpers/utils.R
@@ -20,8 +20,6 @@ generate_moransI <- function(adata) {
 
 
 generate_cosine <- function(real, sim) {
-  requireNamespace("lsa", quietly = TRUE)
-
   real_new <- real[!is.na(real) & !is.na(sim)]
   sim_new <- sim[!is.na(real) & !is.na(sim)]
   similarity <- lsa::cosine(lsa::as.textmatrix(cbind(as.vector(real_new$Morans.I), as.vector(sim_new$Morans.I))))
diff --git a/src/metrics/downstream/script.R b/src/metrics/downstream/script.R
index 21f7aa6..dacffe3 100644
--- a/src/metrics/downstream/script.R
+++ b/src/metrics/downstream/script.R
@@ -48,7 +48,6 @@ cat("spatial clustering evaluation\n")
 real_cluster <- input_real_sp$obs[, c("spatial_cluster")]
 sim_cluster <- generate_sim_spatialCluster(input_real_sp, input_simulated_sp)
 location <- rownames(input_simulated_sp)
-location
 sim_new_cluster <- reclassify_simsce(location, real_cluster, sim_cluster)
 
 # ART and NMI