minor fixes including spaces

Author: shresth-keshari

mne/tests/test_source_estimate.py

@@ -480,8 +480,8 @@ def attempt_assignment(stc, attr, val):
 def test_io_stc(tmp_path):
     """Test IO for STC files."""
     stc = _fake_stc()
-    stc.save(tmp_path / "tmp.stc")
-    stc2 = read_source_estimate(tmp_path / "tmp.stc")
+    stc.save(tmp_path/"tmp.stc", overwrite=True)
+    stc2 = read_source_estimate(tmp_path/"tmp.stc")
     assert_array_almost_equal(stc.data, stc2.data)
     assert_array_almost_equal(stc.tmin, stc2.tmin)
     assert_equal(len(stc.vertices), len(stc2.vertices))

sample.py

@@ -0,0 +1,38 @@
+import numpy as np
+from mne.source_estimate import SourceEstimate
+
+# Create dummy data for the SourceEstimate
+n_vertices_lh = 10  # Number of vertices in the left hemisphere
+n_vertices_rh = 12  # Number of vertices in the right hemisphere
+n_times = 5         # Number of time points
+
+# Random data for the left and right hemispheres
+data = np.random.rand(n_vertices_lh + n_vertices_rh, n_times)
+
+# Vertices for the left and right hemispheres
+vertices = [np.arange(n_vertices_lh), np.arange(n_vertices_rh)]
+
+# Time parameters
+tmin = 0.0  # Start time in seconds
+tstep = 0.1  # Time step in seconds
+
+# Subject name
+subject = "sample_subject"
+
+# Create a SourceEstimate object
+stc = SourceEstimate(data, vertices, tmin, tstep, subject=subject)
+
+# Save the SourceEstimate in different formats
+output_dir = "./output_files"  # Directory to save the files
+import os
+os.makedirs(output_dir, exist_ok=True)
+
+stc.save("test.h5",overwrite=True)
+stc.save("test-lh.stc",overwrite=True)
+# # Save as .stc file
+# stc.save(f"{output_dir}/dummy", ftype="stc", overwrite=True)
+
+# # Save as .h5 file
+# stc.save(f"{output_dir}/dummy.h5", ftype="h5", overwrite=True)
+
+# print(f"Dummy files saved in {output_dir}")