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fp = StringIO(decode_datavalue_string(runtime_response["strdata"]))
else:
fp = open(runtime_response["filename"], "r")
with fp:
resume_state = pickle.load(fp)
user_coro = resume_state.coro
else:
print >>sys.stderr, "Entering at", entry_dict["entry_point"], "args", entry_dict["entry_args"]
persistent_state = skypy.PersistentState(export_json=entry_dict["export_json"],
extra_outputs=entry_dict["extra_outputs"],
py_ref=entry_dict["py_ref"])
user_coro = stackless.coroutine()
user_coro.bind(skypy.start_script, user_script_namespace.__dict__[entry_dict["entry_point"]], entry_dict["entry_args"])
resume_state = skypy.ResumeState(persistent_state, user_coro)
skypy.current_task = skypy.SkyPyTask(main_coro,
resume_state.persistent_state,
message_helper,
file_outputs)
user_coro.switch()
# We're back -- either the user script is done, or else it's stuck waiting on a reference.
if skypy.current_task.halt_reason == skypy.HALT_RUNTIME_EXCEPTION:
report = "User script exception %s\n%s" % (str(skypy.current_task.script_return_val), skypy.current_task.script_backtrace)
out_message = ("error", {"report": report})
else:
if skypy.current_task.halt_reason == skypy.HALT_REFERENCE_UNAVAILABLE:
coro_ref = skypy.save_state(resume_state)
out_message = ("tail_spawn",
{"executor_name": "skypy",
"pyfile_ref": skypy.current_task.persistent_state.py_ref,
"coro_ref": coro_ref,