Traceback (most recent call last):


 "/opt/ros/melodic/lib/gazebo_ros/spawn_model", line 31, in <module>

from tf.transformations import quaternion_from_euler


 "/opt/ros/melodic/lib/python2.7/dist-packages/tf/__init__.py", line 31, in <module>

from .listener import Transformer, TransformListener, TransformerROS


 "/opt/ros/melodic/lib/python2.7/dist-packages/tf/listener.py", line 29, in <module>

import numpy


 "/home/virgile/.local/lib/python2.7/site-packages/numpy/__init__.py", line 142, in <module>

from . import core


 "/home/virgile/.local/lib/python2.7/site-packages/numpy/core/__init__.py", line 59, in <module>

from . import numeric


 "/home/virgile/.local/lib/python2.7/site-packages/numpy/core/numeric.py", line 3093, in <module>

from . import fromnumeric


 "/home/virgile/.local/lib/python2.7/site-packages/numpy/core/fromnumeric.py", line 17, in <module>

from . import _methods


 "/home/virgile/.local/lib/python2.7/site-packages/numpy/core/_methods.py", line 158, in <module>

_NDARRAY_ARRAY_FUNCTION = mu.ndarray.__array_function__
AttributeError: type object 'numpy.ndarray' has no attribute '__array_function__'


Traceback (most recent call last):


 "~/miniconda3/envs/benchmark/lib/python3.6/site-packages/asv/benchmark.py", line 1184, in main_run_server

main_run(run_args)


 "~/miniconda3/envs/benchmark/lib/python3.6/site-packages/asv/benchmark.py", line 1058, in main_run

result = benchmark.do_run()


 "~/miniconda3/envs/benchmark/lib/python3.6/site-packages/asv/benchmark.py", line 537, in do_run

return self.run(*self._current_params)


 "~/miniconda3/envs/benchmark/lib/python3.6/site-packages/asv/benchmark.py", line 631, in run

min_run_count=self.min_run_count)


 "~/miniconda3/envs/benchmark/lib/python3.6/site-packages/asv/benchmark.py", line 663, in benchmark_timing

timing = timer.timeit(number)


 "~/mdanalysis/benchmarks/env/80c5ba7efaa89366b97da3ced85c0c44/lib/python3.6/timeit.py", line 178, in timeit

timing = self.inner(it, self.timer)


 "<timeit-src>", line 6, in inner


 "~/miniconda3/envs/benchmark/lib/python3.6/site-packages/asv/benchmark.py", line 599, in <lambda>

func = lambda: self.func(*param)


 "~/mdanalysis/benchmarks/benchmarks/selections.py", line 76, in time_geometric_selections

MDAnalysis.core.flags['use_periodic_selections'] = periodic_selection[0]

AttributeError: module 'MDAnalysis.core' has no attribute 'flags'
