I’m not sure how to debug this error. Before running I did run the 6 different kimitems install on the Examples page.
openkim@openkim-vm:~$ pipeline_runpair LammpsExample__TE_565333229701_001 Pair_Lennard_Jones_Shifted_Bernardes_MedCutoff_Ar__MO_126566794224_001
2014-08-12 17:51:28,443 - INFO - pipeline.development - Running combination <<Test(LammpsExample__TE_565333229701_001)>, <Model(Pair_Lennard_Jones_Shifted_Bernardes_MedCutoff_Ar__MO_126566794224_001)>
2014-08-12 17:51:36,172 - INFO - pipeline.compute - running <Test(LammpsExample__TE_565333229701_001)> with <Model(Pair_Lennard_Jones_Shifted_Bernardes_MedCutoff_Ar__MO_126566794224_001)>
2014-08-12 17:51:36,191 - INFO - pipeline.compute - launching run…
2014-08-12 17:51:36,368 - INFO - pipeline.compute - Run completed in 0.17686200141906738 seconds
2014-08-12 17:51:36,383 - ERROR - pipeline.compute - Runner returned error code 1, ‘Operation not permitted’
2014-08-12 17:51:36,396 - INFO - pipeline.compute - Copying the contents of /home/openkim/openkim-repository/te/LammpsExample_running4dd3b18f-2249-11e4-8cc7-c64c81573eec__TE_565333229701_001/output to /home/openkim/openkim-repository/er/4dd3b18f-2249-11e4-8cc7-c64c81573eec
2014-08-12 17:51:36,446 - ERROR - pipeline.compute - PipelineRuntimeError()
Traceback (most recent call last):
File “/home/openkim/openkim-pipeline/tools/pipeline_runpair”, line 33, in
Computation(runner, subject, d.get_result_code()).run()
File “/home/openkim/openkim-pipeline/compute.py”, line 345, in run
raise PipelineRuntimeError(e, outs)
config.PipelineRuntimeError: KIMRuntimeError: Executable <Test(LammpsExample__TE_565333229701_001)> returned error code 1
Traceback (most recent call last):
File “/home/openkim/openkim-pipeline/compute.py”, line 326, in run
self.execute_in_place()
File “/home/openkim/openkim-pipeline/compute.py”, line 191, in execute_in_place
raise KIMRuntimeError("Executable %r returned error code r" (self.runner_temp, self.retcode))
KIMRuntimeError: Executable <Test(LammpsExample__TE_565333229701_001)> returned error code 1
output/pipeline.stdout: