use original is_set_global_job_kwargs_set function

src/spikeinterface/core/globals.py

@@ -42,9 +42,9 @@ def set_global_tmp_folder(folder):
     temp_folder_set = True
 
 
-def is_set_global_tmp_folder():
+def is_set_global_tmp_folder() -> bool:
     """
-    Check is the global path temporary folder have been manually set.
+    Check if the global path temporary folder have been manually set.
     """
     global temp_folder_set
     return temp_folder_set
@@ -88,9 +88,9 @@ def set_global_dataset_folder(folder):
     dataset_folder_set = True
 
 
-def is_set_global_dataset_folder():
+def is_set_global_dataset_folder() -> bool:
     """
-    Check is the global path dataset folder have been manually set.
+    Check if the global path dataset folder has been manually set.
     """
     global dataset_folder_set
     return dataset_folder_set
@@ -130,14 +130,6 @@ def set_global_job_kwargs(**job_kwargs):
     global_job_kwargs_set = True
 
 
-def is_global_job_kwargs_set() -> bool:
-    """
-    Check is the global job kwargs have been manually set.
-    """
-    global global_job_kwargs_set
-    return global_job_kwargs_set
-
-
 def reset_global_job_kwargs():
     """
     Reset the global job kwargs.
@@ -146,7 +138,10 @@ def reset_global_job_kwargs():
     global_job_kwargs = dict(n_jobs=1, chunk_duration="1s", progress_bar=True)
 
 
-def is_set_global_job_kwargs_set():
+def is_set_global_job_kwargs_set() -> bool:
+    """
+    Check if the global job kwargs have been manually set.
+    """
     global global_job_kwargs_set
     return global_job_kwargs_set
 

src/spikeinterface/core/job_tools.py

@@ -60,7 +60,7 @@
 
 
 def fix_job_kwargs(runtime_job_kwargs):
-    from .globals import get_global_job_kwargs, is_global_job_kwargs_set
+    from .globals import get_global_job_kwargs, is_set_global_job_kwargs_set
 
     job_kwargs = get_global_job_kwargs()
 
@@ -99,7 +99,7 @@ def fix_job_kwargs(runtime_job_kwargs):
 
     job_kwargs["n_jobs"] = max(n_jobs, 1)
 
-    if "n_jobs" not in runtime_job_kwargs and job_kwargs["n_jobs"] == 1 and not is_global_job_kwargs_set():
+    if "n_jobs" not in runtime_job_kwargs and job_kwargs["n_jobs"] == 1 and not is_set_global_job_kwargs_set():
         warnings.warn(
             "`n_jobs` is not set so parallel processing is disabled! "
             "To speed up computations, it is recommended to set n_jobs either "