Total running time of the script: ( 0 minutes 12.954 seconds)
-Estimated memory usage: 413 MB
+Total running time of the script: ( 0 minutes 13.162 seconds)
+Estimated memory usage: 301 MB
@@ -837,8 +837,8 @@Estimated memory usage: 276 MB
+Total running time of the script: ( 0 minutes 12.800 seconds)
+Estimated memory usage: 200 MB
@@ -858,7 +860,7 @@
Total running time of the script: ( 0 minutes 47.392 seconds)
-Estimated memory usage: 322 MB
+Total running time of the script: ( 0 minutes 47.298 seconds)
+Estimated memory usage: 280 MB
-
Total running time of the script: ( 0 minutes 40.763 seconds)
-Estimated memory usage: 421 MB
+Total running time of the script: ( 0 minutes 39.602 seconds)
+Estimated memory usage: 399 MB
-
Total running time of the script: ( 0 minutes 40.294 seconds)
-Estimated memory usage: 328 MB
+Total running time of the script: ( 0 minutes 38.883 seconds)
+Estimated memory usage: 258 MB
-
Total running time of the script: ( 1 minutes 57.892 seconds)
-Estimated memory usage: 17 MB
+Total running time of the script: ( 1 minutes 57.314 seconds)
+Estimated memory usage: 12 MB
-
Total running time of the script: ( 0 minutes 35.638 seconds)
-Estimated memory usage: 264 MB
+Total running time of the script: ( 0 minutes 35.008 seconds)
+Estimated memory usage: 200 MB
-
Total running time of the script: ( 1 minutes 7.099 seconds)
-Estimated memory usage: 11 MB
+Total running time of the script: ( 1 minutes 6.927 seconds)
+Estimated memory usage: 12 MB
-2024-04-10 16:12:14,034 INFO MainThread moabb.evaluations.base Processing dataset: Zhou2016
+2024-04-11 10:28:33,622 INFO MainThread moabb.evaluations.base Processing dataset: Zhou2016
Zhou2016-WithinSession: 0%| | 0/4 [00:00<?, ?it/s]MNE_DATA is not already configured. It will be set to default location in the home directory - /home/runner/mne_data
All datasets will be downloaded to this location, if anything is already downloaded, please move manually to this location
@@ -735,110 +735,88 @@ Running the benchmarkRunning the benchmarkRunning the benchmarkRunning the benchmarkRunning the benchmarkRunning the benchmarkplt.show()
-
2024-04-10 16:12:42,689 WARNING MainThread moabb.analysis.plotting Dataset names are too similar, turning off name shortening
+2024-04-11 10:29:00,522 WARNING MainThread moabb.analysis.plotting Dataset names are too similar, turning off name shortening
/home/runner/work/moabb/moabb/moabb/analysis/plotting.py:70: UserWarning: The palette list has more values (6) than needed (2), which may not be intended.
sea.stripplot(
-Total running time of the script: ( 0 minutes 29.615 seconds)
-Estimated memory usage: 326 MB
+Total running time of the script: ( 0 minutes 27.878 seconds)
+Estimated memory usage: 325 MB
Download Python source code: plot_benchmark.py
diff --git a/docs/auto_examples/plot_benchmark_DL.html b/docs/auto_examples/plot_benchmark_DL.html
index f73c72a3..42c0f26a 100644
--- a/docs/auto_examples/plot_benchmark_DL.html
+++ b/docs/auto_examples/plot_benchmark_DL.html
@@ -689,102 +689,102 @@ Running the benchmarkRunning the benchmarkRunning the benchmarkReferencesTotal running time of the script: ( 9 minutes 21.415 seconds)
-Estimated memory usage: 870 MB
+Total running time of the script: ( 9 minutes 13.262 seconds)
+Estimated memory usage: 822 MB
The deep learning architectures implemented in MOABB using Braindecode are:
@@ -1467,8 +1463,8 @@ ReferencesTotal running time of the script: ( 3 minutes 21.914 seconds)
-Estimated memory usage: 575 MB
+Total running time of the script: ( 3 minutes 21.749 seconds)
+Estimated memory usage: 577 MB
-Total running time of the script: ( 1 minutes 33.737 seconds)
-Estimated memory usage: 218 MB
+Total running time of the script: ( 1 minutes 31.523 seconds)
+Estimated memory usage: 156 MB
Download Python source code: plot_benchmark_grid_search.py
diff --git a/docs/auto_examples/plot_braindecode.html b/docs/auto_examples/plot_braindecode.html
index f9fbcce1..4de85b74 100644
--- a/docs/auto_examples/plot_braindecode.html
+++ b/docs/auto_examples/plot_braindecode.html
@@ -839,30 +839,30 @@ EvaluationTotal running time of the script: ( 0 minutes 14.103 seconds)
-Estimated memory usage: 373 MB
+Total running time of the script: ( 0 minutes 14.395 seconds)
+Estimated memory usage: 296 MB
Download Python source code: plot_braindecode.py
diff --git a/docs/auto_examples/plot_cross_session_motor_imagery.html b/docs/auto_examples/plot_cross_session_motor_imagery.html
index 97633da4..30dfbea1 100644
--- a/docs/auto_examples/plot_cross_session_motor_imagery.html
+++ b/docs/auto_examples/plot_cross_session_motor_imagery.html
@@ -727,7 +727,7 @@ EvaluationTotal running time of the script: ( 0 minutes 9.676 seconds)
-Estimated memory usage: 355 MB
+Total running time of the script: ( 0 minutes 9.885 seconds)
+Estimated memory usage: 266 MB
-
Total running time of the script: ( 0 minutes 15.109 seconds)
-Estimated memory usage: 326 MB
+Total running time of the script: ( 0 minutes 15.229 seconds)
+Estimated memory usage: 249 MB
-
Total running time of the script: ( 0 minutes 20.128 seconds)
-Estimated memory usage: 24 MB
+Total running time of the script: ( 0 minutes 19.783 seconds)
+Estimated memory usage: 21 MB
-Using array cache: 0.30 seconds
-Using epochs cache: 0.44 seconds
-Using raw cache: 0.72 seconds
-Without cache: 2.35 seconds
+Using array cache: 0.35 seconds
+Using epochs cache: 0.47 seconds
+Using raw cache: 0.75 seconds
+Without cache: 2.32 seconds
As you can see, using a raw cache is more than 5 times faster than
@@ -934,8 +934,8 @@
Cleanup
-Total running time of the script: ( 0 minutes 26.579 seconds)
-Estimated memory usage: 329 MB
+Total running time of the script: ( 0 minutes 26.975 seconds)
+Estimated memory usage: 295 MB
-Total running time of the script: ( 0 minutes 21.310 seconds)
-Estimated memory usage: 754 MB
+Total running time of the script: ( 0 minutes 22.543 seconds)
+Estimated memory usage: 695 MB
Download Python source code: plot_explore_paradigm.py
diff --git a/docs/auto_examples/plot_fixed_interval_windows.html b/docs/auto_examples/plot_fixed_interval_windows.html
index 519da437..a937f4db 100644
--- a/docs/auto_examples/plot_fixed_interval_windows.html
+++ b/docs/auto_examples/plot_fixed_interval_windows.html
@@ -749,8 +749,8 @@ Print the events
We can see that the epochs were effectively created at a fixed interval
every 50 seconds between 300 and 900 seconds, and ignoring
the original events of the dataset.
-Total running time of the script: ( 0 minutes 6.743 seconds)
-Estimated memory usage: 272 MB
+Total running time of the script: ( 0 minutes 6.966 seconds)
+Estimated memory usage: 239 MB
-
Total running time of the script: ( 0 minutes 25.878 seconds)
-Estimated memory usage: 16 MB
+Total running time of the script: ( 0 minutes 25.963 seconds)
+Estimated memory usage: 14 MB
-
Total running time of the script: ( 0 minutes 35.101 seconds)
-Estimated memory usage: 9 MB
+Total running time of the script: ( 0 minutes 30.410 seconds)
+Estimated memory usage: 10 MB
Download Python source code: plot_within_session_ssvep.py
diff --git a/docs/auto_examples/sg_execution_times.html b/docs/auto_examples/sg_execution_times.html
index 143b92a9..a5dea2f6 100644
--- a/docs/auto_examples/sg_execution_times.html
+++ b/docs/auto_examples/sg_execution_times.html
@@ -417,60 +417,60 @@
Computation times#
-17:41.307 total execution time for auto_examples files:
+17:26.563 total execution time for auto_examples files:
