diff --git a/R/simulator.R b/R/simulator.R
index c129d74..02417c6 100755
--- a/R/simulator.R
+++ b/R/simulator.R
@@ -74,7 +74,7 @@ simulate_sample <- function(data,
       if (n == 0) {
         n <- 1
       }
-      if(!is.na(seed)){
+      if (!is.na(seed)) {
         # fix seed for random selection of cells
         set.seed(seed)
       }
@@ -437,7 +437,6 @@ simulate_bulk <- function(data,
 
   # sample cells and generate pseudo-bulk profiles
   all_samples <- BiocParallel::bplapply(seq_along(simulation_vector_list), function(i) {
-    
     simulation_vector <- simulation_vector_list[[i]]
     sample <- simulate_sample(
       data = data,
diff --git a/tests/testthat/test_simulator.R b/tests/testthat/test_simulator.R
index 41ff342..be14f20 100755
--- a/tests/testthat/test_simulator.R
+++ b/tests/testthat/test_simulator.R
@@ -48,15 +48,14 @@ test_that("test RNG", {
   seed <- 123
   sim1 <- SimBu::simulate_bulk(data = dataset, scenario = "even", scaling_factor = "NONE", balance_even_mirror_scenario = 0, nsamples = 10, ncells = 100, run_parallel = FALSE, seed = seed)
   sim2 <- SimBu::simulate_bulk(data = dataset, scenario = "even", scaling_factor = "NONE", balance_even_mirror_scenario = 0, nsamples = 10, ncells = 100, run_parallel = FALSE, seed = seed)
-  x1 <- Matrix::rowSums(assays(sim1$bulk)[['bulk_counts']])
-  x2 <- Matrix::rowSums(assays(sim2$bulk)[['bulk_counts']])
-  testthat::expect_equal(x1,x2)
-  
-  # test that samples inside one simulation still are different
-  sample1 <- sim1$bulk[,1]
-  sample2 <- sim1$bulk[,2]
-  testthat::expect_false(all(assays(sample1)[['bulk_counts']] == assays(sample2)[['bulk_counts']]))
+  x1 <- Matrix::rowSums(assays(sim1$bulk)[["bulk_counts"]])
+  x2 <- Matrix::rowSums(assays(sim2$bulk)[["bulk_counts"]])
+  testthat::expect_equal(x1, x2)
 
+  # test that samples inside one simulation still are different
+  sample1 <- sim1$bulk[, 1]
+  sample2 <- sim1$bulk[, 2]
+  testthat::expect_false(all(assays(sample1)[["bulk_counts"]] == assays(sample2)[["bulk_counts"]]))
 })
 
 test_that("test different scaling factor calculations + mRNA bias removal from counts", {