Try moving code-sample into README

README.rst

@@ -59,6 +59,47 @@ Install libEnsemble and its dependencies from PyPI_ using pip::
 
 Other install methods are described in the docs_.
 
+Basic Usage
+===========
+
+Create an ``Ensemble``, then customize it with general settings, simulation and generator parameters,
+and an exit condition. Run the following via ``python this_file.py --comms local --nworkers 4``:
+
+.. code-block:: python
+
+   import numpy as np
+
+   from libensemble import Ensemble
+   from libensemble.gen_funcs.sampling import uniform_random_sample
+   from libensemble.sim_funcs.six_hump_camel import six_hump_camel
+   from libensemble.specs import ExitCriteria, GenSpecs, SimSpecs
+   from libensemble.tools import add_unique_random_streams
+
+   if __name__ == "__main__":
+       sampling = Ensemble(parse_args=True)
+       sampling.sim_specs = SimSpecs(
+           sim_f=six_hump_camel,
+           inputs=["x"],
+           outputs=[("f", float)],
+       )
+       sampling.gen_specs = GenSpecs(
+           gen_f=uniform_random_sample,
+           outputs=[("x", float, (2,))],
+           user={
+               "gen_batch_size": 500,
+               "lb": np.array([-3, -2]),
+               "ub": np.array([3, 2]),
+           },
+       )
+
+       sampling.persis_info = add_unique_random_streams({}, sampling.nworkers + 1)
+       sampling.exit_criteria = ExitCriteria(sim_max=101)
+       sampling.run()
+       sampling.save_output(__file__)
+
+       if sampling.is_manager:
+           print("Some output data:\n", sampling.H[["x", "f"]][:10])
+
 Resources
 =========
 

docs/introduction.rst

@@ -1,50 +1,6 @@
 .. include:: ../README.rst
     :start-after: after_badges_rst_tag
 
-Basic Usage
-===========
-
-.. basic_usage
-
-Create an ``Ensemble``, then customize with general settings, simulation and generator parameters,
-and an exit condition. Run the following via ``python this_file.py --comms local --nworkers 4``:
-
-.. code-block:: python
-  :linenos:
-
-  import numpy as np
-
-  from libensemble import Ensemble
-  from libensemble.gen_funcs.sampling import uniform_random_sample
-  from libensemble.sim_funcs.six_hump_camel import six_hump_camel
-  from libensemble.specs import ExitCriteria, GenSpecs, SimSpecs
-  from libensemble.tools import add_unique_random_streams
-
-  if __name__ == "__main__":
-      sampling = Ensemble(parse_args=True)
-      sampling.sim_specs = SimSpecs(
-          sim_f=six_hump_camel,
-          inputs=["x"],
-          outputs=[("f", float)],
-      )
-      sampling.gen_specs = GenSpecs(
-          gen_f=uniform_random_sample,
-          outputs=[("x", float, (2,))],
-          user={
-              "gen_batch_size": 500,
-              "lb": np.array([-3, -2]),
-              "ub": np.array([3, 2]),
-          },
-      )
-
-      sampling.persis_info = add_unique_random_streams({}, sampling.nworkers + 1)
-      sampling.exit_criteria = ExitCriteria(sim_max=101)
-      sampling.run()
-      sampling.save_output(__file__)
-
-      if sampling.is_manager:
-          print("Some output data:\n", sampling.H[["x", "f"]][:10])
-
 See the :doc:`tutorial<tutorials/local_sine_tutorial>` for a step-by-step beginners guide.
 
 See the `user guide`_ for more information.

libensemble/tests/unit_tests/test_executor.py

@@ -407,6 +407,7 @@ def test_procs_and_machinefile_logic():
     else:
         task = exctr.submit(calc_type="sim", num_procs=6, num_nodes=2, procs_per_node=3, app_args=args_for_sim)
     task = polling_loop(exctr, task, delay=0.05)
+    time.sleep(0.25)
     assert task.finished, "task.finished should be True. Returned " + str(task.finished)
     assert task.state == "FINISHED", "task.state should be FINISHED. Returned " + str(task.state)
 
@@ -431,6 +432,7 @@ def test_procs_and_machinefile_logic():
         task = exctr.submit(calc_type="sim", num_nodes=2, procs_per_node=3, app_args=args_for_sim)
     assert 1
     task = polling_loop(exctr, task, delay=0.05)
+    time.sleep(0.25)
     assert task.finished, "task.finished should be True. Returned " + str(task.finished)
     assert task.state == "FINISHED", "task.state should be FINISHED. Returned " + str(task.state)