Change default to us all cores.

Expand on warning.

allensdk/brain_observatory/behavior/behavior_project_cache/behavior_project_cache.py

@@ -341,19 +341,19 @@ def get_raw_natural_movie(self) -> np.ndarray:
         """
         return self.fetch_api.get_raw_natural_movie()
 
-    def get_natural_movie_template(self, n_workers=1) -> pd.DataFrame:
+    def get_natural_movie_template(self, n_workers=None) -> pd.DataFrame:
         """Download the movie if needed and process it into warped and unwarped
         frames as presented to the mouse. The DataFrame is indexed with the
         same frame index as shown in the stimulus presentation table.
 
-        The processing of the movie and its return size is very large so take
-        care in request this data.
+        The processing of the movie requires signicant processing and its
+        return size is very large so take care in requesting this data.
 
         Parameters
         ----------
         n_workers : int
             Number of processes to use to transform the movie to what was shown
-            on the monitor. Default=1.
+            on the monitor. Default=None (use all cores).
 
         Returns
         -------

allensdk/brain_observatory/behavior/behavior_project_cache/project_apis/data_io/behavior_project_cloud_api.py

@@ -281,19 +281,19 @@ def get_raw_natural_movie(self) -> np.ndarray:
         """
         return self._natural_movie_cache.get_raw_movie()
 
-    def get_natural_movie_template(self, n_workers=1) -> pd.DataFrame:
+    def get_natural_movie_template(self, n_workers=None) -> pd.DataFrame:
         """Download the movie if needed and process it into warped and unwarped
         frames as presented to the mouse. The DataFrame is indexed with the
         same frame index as shown in the stimulus presentation table.
 
-        The processing of the movie and its return size is very large so take
-        care in request this data.
+        The processing of the movie requires signicant processing and its
+        return size is very large so take care in requesting this data.
 
         Parameters
         ----------
         n_workers : int
             Number of processes to use to transform the movie to what was shown
-            on the monitor. Default=1.
+            on the monitor. Default=None (use all cores).
 
         Returns
         -------

allensdk/brain_observatory/behavior/behavior_project_cache/project_apis/data_io/natural_movie_one_cache.py

@@ -65,19 +65,19 @@ def get_raw_movie(self):
         """
         return np.load(self.download_data())
 
-    def get_processed_template_movie(self, n_workers=1):
+    def get_processed_template_movie(self, n_workers=None):
         """Download the movie if needed and process it into warped and unwarped
         frames as presented to the mouse. The DataFrame is indexed with the
         same frame index as shown in the stimulus presentation table.
 
-        The processing of the movie and its return size is very large so take
-        care in request this data.
+        The processing of the movie requires signicant processing and its
+        return size is very large so take care in requesting this data.
 
         Parameters
         ----------
         n_workers : int
             Number of processes to use to transform the movie to what was shown
-            on the monitor. Default=1.
+            on the monitor. Default=None (use all cores).
 
         Returns
         -------