@@ -2,7 +2,6 @@ import operator

 import pickle

 import random

-import flaky

 import pytest

 from adaptive.learner import (

@@ -70,7 +69,6 @@ def f_for_pickle_datasaver(x):

     return dict(x=x, y=x)

-@flaky.flaky(max_runs=3)

 @pytest.mark.parametrize(

     "learner_type, learner_kwargs, serializer", learners,

 )

@@ -85,8 +83,6 @@ def test_serialization_for(learner_type, learner_kwargs, serializer):

         f = f_for_pickle  # noqa: F811

     learner = learner_type(f, **learner_kwargs)

-    if learner_type is Learner1D:

-        learner._recompute_losses_factor = 1

     simple(learner, goal_1)

     learner_bytes = serializer.dumps(learner)

@@ -102,12 +98,9 @@ def test_serialization_for(learner_type, learner_kwargs, serializer):

     assert learner_loaded.npoints == 10

     assert loss == learner_loaded.loss()

-    if learner_type is not Learner2D:

-        # cannot test this for Learner2D because

-        # xfailing test_point_adding_order_is_irrelevant

-        assert asked == learner_loaded.ask(1)

-        # load again to undo the ask

-        learner_loaded = serializer.loads(learner_bytes)

+    assert asked == learner_loaded.ask(1)

+    # load again to undo the ask

+    learner_loaded = serializer.loads(learner_bytes)

     simple(learner_loaded, goal_2)

     assert learner_loaded.npoints == 20