🎨 format files

RasmussenLab · May 16, 2024 · 439c8cf · 439c8cf
1 parent 4164f41
commit 439c8cf
Show file tree

Hide file tree

Showing 3 changed files with 243 additions and 139 deletions.
diff --git a/docs/source/conf.py b/docs/source/conf.py
@@ -38,7 +38,7 @@
 
 html_theme = "sphinx_rtd_theme"
 html_theme_options = {
-    "collapse_navigation" : False,
+    "collapse_navigation": False,
 }
 html_static_path = []
 

diff --git a/supplementary_files/create_datasets.py b/supplementary_files/create_datasets.py
@@ -71,7 +71,7 @@
 }
 
 COR_THRES = 0.02
-PAIRS_OF_INTEREST = [(1,2),(3,4)]  # ,(77,75),(99,70),(38,2),(67,62)]
+PAIRS_OF_INTEREST = [(1, 2), (3, 4)]  # ,(77,75),(99,70),(38,2),(67,62)]
 
 # Path to store output files
 outpath = Path("./") / f"dataset_creation_outputs_{PROJECT_NAME}"
@@ -248,12 +248,12 @@ def save_splitted_datasets(
     )
     fig.savefig(outpath / f"Covariance_matrix_{PROJECT_NAME}.png")
 
-#    dataset = np.array(
-#        [
-#            list(np.random.multivariate_normal(feat_means, covariance_matrix))
-#            for _ in range(N_SAMPLES)
-#        ]
-#    )
+    #    dataset = np.array(
+    #        [
+    #            list(np.random.multivariate_normal(feat_means, covariance_matrix))
+    #            for _ in range(N_SAMPLES)
+    #        ]
+    #    )
 
     dataset = np.random.multivariate_normal(feat_means, covariance_matrix, N_SAMPLES)
     print(dataset.shape)
@@ -296,4 +296,4 @@ def save_splitted_datasets(
     # Write tsv files with feature values for all samples in both datasets:
     save_splitted_datasets(
         SETTINGS, PROJECT_NAME, dataset, all_feature_names, N_SAMPLES, outpath
-    )
+    )