larger runner for github actions test (#1665)

* Parallel tests with timeout
* docs deploy permission

.github/workflows/every_commit.yml

@@ -85,6 +85,9 @@ jobs:
     runs-on: ubuntu-latest
     needs: install
     if: github.event_name != 'pull_request'
+    permissions:
+      id-token: write
+      pages: write
     steps:
       - name: Deploy to GitHub Pages
         id: deployment
@@ -114,8 +117,7 @@ jobs:
           black --version
           black nevergrad --check --diff
   pytests:
-    # runs-on: ubuntu-latest-16-cores
-    runs-on: ubuntu-latest
+    runs-on: 8-core-ubuntu # 32GB RAM, 8 vCPUs
     steps:
       - uses: actions/setup-python@v5
         with:
@@ -128,9 +130,9 @@ jobs:
           pip install pytest
 
           # run tests with no parallelism
-          pytest nevergrad -v --durations=20 --cov=nevergrad
+          # pytest nevergrad -v --durations=20 --timeout=100 --cov=nevergrad
 
           # run in parallel using pytest-xdist
-          # pytest nevergrad -n auto -v --durations=20 --cov=nevergrad
+          pytest nevergrad -n auto -v --durations=20 --timeout=100 --cov=nevergrad
 
           #pytest nevergrad -v --exitfirst --durations=20 --cov=nevergrad

nevergrad/optimization/test_optimizerlib.py

@@ -33,6 +33,7 @@
 from . import base, es, experimentalvariants as xpvariants, optimizerlib as optlib
 from .optimizerlib import NGOptBase, registry
 
+# pylint: disable=too-many-boolean-expressions,too-many-branches
 
 # decorators to be used when testing on Windows is unecessary
 # or cumbersome
@@ -466,8 +467,8 @@ def save(self) -> None:
         # sort and remove unused names
         # then update recommendation file
         names = sorted(x for x in self.recommendations.index if x in registry)
-        recom = self.recommendations.loc[names, :]
-        recom.iloc[:, :] = np.round(recom, 10)
+        recom = self.recommendations.loc[names]
+        recom = recom.round(10)
         recom.to_csv(self.filepath)
 
 
@@ -733,7 +734,7 @@ def test_bo_init() -> None:
         optimizer = my_opt(parametrization=arg, budget=10)
         optimizer.minimize(np.abs)
     #    except NotUniqueError:
-    except Exception as e:
+    except Exception as e:  # pylint: disable=broad-except
         print(f"Problem {e} in Bayesian optimization.")  # Anyway Bayesian Optimization is basically weak.
 
 
@@ -1256,7 +1257,7 @@ def f(x, xs=xs):
             try:
                 other = ng.optimizers.registry[o](array, budget=b, num_workers=nw)
                 val = f(other.minimize(f).value)
-            except:
+            except:  # pylint: disable=bare-except
                 print(f"crash in {o}")
                 val = float(1.0e7)
             # print(o, val / vde)

requirements/bench.txt

@@ -51,6 +51,7 @@ pybullet>=3.2.2
 glfw
 mujoco
 pySOT
+pytest-timeout
 pytest-xdist
 poap
 pytest-circleci-parallelized