Rework workon (Epistimio#684)

.gitignore

@@ -80,3 +80,8 @@ target/
 
 # Notebooks
 tests/**.ipynb
+
+# Generated doc
+docs/src/auto_examples
+docs/src/auto_tutorials
+docs/src/gen_modules

docs/src/conf.py

@@ -293,6 +293,7 @@
     "orion.plotting.base.PlotAccessor.__call__",
     "orion.benchmark.task.BaseTask.__call__",
     "orion.benchmark.task.base.BaseTask.__call__",
+    "AlreadyReleased",
 ]
 
 nitpicky = True

examples/plotting/plot_4_partial_dependencies.py

@@ -99,16 +99,16 @@
 import time
 
 experiment = get_experiment("2-dim-exp", storage=storage)
-start = time.clock()
+start = time.perf_counter()
 fig = experiment.plot.partial_dependencies(n_grid_points=5)
-print(time.clock() - start, "seconds to compute")
+print(time.perf_counter() - start, "seconds to compute")
 fig
 
 #%%
 # With more points the grid is finer.
-start = time.clock()
+start = time.perf_counter()
 fig = experiment.plot.partial_dependencies(n_grid_points=50)
-print(time.clock() - start, "seconds to compute")
+print(time.perf_counter() - start, "seconds to compute")
 fig
 
 #%%
@@ -118,17 +118,17 @@
 # for a small 2-D search space but likely unsufficient for 5 dimensions or more.
 # Here is an example with only 5 samples.
 
-start = time.clock()
+start = time.perf_counter()
 fig = experiment.plot.partial_dependencies(n_samples=5)
-print(time.clock() - start, "seconds to compute")
+print(time.perf_counter() - start, "seconds to compute")
 fig
 
 #%%
 # And now with 200 samples.
 
-start = time.clock()
+start = time.perf_counter()
 fig = experiment.plot.partial_dependencies(n_samples=200)
-print(time.clock() - start, "seconds to compute")
+print(time.perf_counter() - start, "seconds to compute")
 fig
 
 #%%

src/orion/algo/hyperband.py

@@ -345,7 +345,7 @@ def suggest(self, num):
                 self.space.cardinality,
             )
         else:
-            logger.warning(
+            logger.debug(
                 f"{self.__class__.__name__} cannot suggest new samples and must wait "
                 "for trials to complete."
             )