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Shut down kernels in parallel...
Shut down kernels in parallel When stopping the notebook server, it currently sends a shutdown request to each kernel and then waits for the process to finish. This can be slow if you have several kernels running. This makes it issues all the shutdown requests before waiting on the processes, so shutdown happens in parallel. KernelManager (and MultiKernelManager) gain three new public API methods to allow this: * request_shutdown (promoted from a private method) * wait_shutdown (refactored out of shutdown_kernel) * cleanup (refactored out of shutdown_kernel)

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r13892:3cd52168
r16510:633371e5
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utils.py
179 lines | 5.2 KiB | text/x-python | PythonLexer
MinRK
move kernel-test utilities to kernel.tests.utils...
r12414 """utilities for testing IPython kernels"""
#-------------------------------------------------------------------------------
# Copyright (C) 2013 The IPython Development Team
#
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING, distributed as part of this software.
#-------------------------------------------------------------------------------
#-------------------------------------------------------------------------------
# Imports
#-------------------------------------------------------------------------------
import atexit
from contextlib import contextmanager
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r13156 from subprocess import PIPE, STDOUT
Thomas Kluyver
Update imports for Python 3...
r13354 try:
from queue import Empty # Py 3
except ImportError:
from Queue import Empty # Py 2
MinRK
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r12414
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r13156 import nose
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r12414 import nose.tools as nt
from IPython.kernel import KernelManager
#-------------------------------------------------------------------------------
# Globals
#-------------------------------------------------------------------------------
STARTUP_TIMEOUT = 60
TIMEOUT = 15
KM = None
KC = None
#-------------------------------------------------------------------------------
# code
#-------------------------------------------------------------------------------
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r12853 def start_new_kernel(argv=None):
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r12414 """start a new kernel, and return its Manager and Client"""
km = KernelManager()
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Option to spew subprocess streams during tests...
r13824 kwargs = dict(stdout=nose.iptest_stdstreams_fileno(), stderr=STDOUT)
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r12853 if argv:
kwargs['extra_arguments'] = argv
km.start_kernel(**kwargs)
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r12414 kc = km.client()
kc.start_channels()
msg_id = kc.kernel_info()
kc.get_shell_msg(block=True, timeout=STARTUP_TIMEOUT)
flush_channels(kc)
return km, kc
def flush_channels(kc=None):
"""flush any messages waiting on the queue"""
from .test_message_spec import validate_message
if kc is None:
kc = KC
for channel in (kc.shell_channel, kc.iopub_channel):
while True:
try:
msg = channel.get_msg(block=True, timeout=0.1)
except Empty:
break
else:
validate_message(msg)
def execute(code='', kc=None, **kwargs):
"""wrapper for doing common steps for validating an execution request"""
from .test_message_spec import validate_message
if kc is None:
kc = KC
msg_id = kc.execute(code=code, **kwargs)
reply = kc.get_shell_msg(timeout=TIMEOUT)
validate_message(reply, 'execute_reply', msg_id)
busy = kc.get_iopub_msg(timeout=TIMEOUT)
validate_message(busy, 'status', msg_id)
nt.assert_equal(busy['content']['execution_state'], 'busy')
if not kwargs.get('silent'):
pyin = kc.get_iopub_msg(timeout=TIMEOUT)
validate_message(pyin, 'pyin', msg_id)
nt.assert_equal(pyin['content']['code'], code)
return msg_id, reply['content']
def start_global_kernel():
"""start the global kernel (if it isn't running) and return its client"""
global KM, KC
if KM is None:
KM, KC = start_new_kernel()
atexit.register(stop_global_kernel)
return KC
@contextmanager
def kernel():
"""Context manager for the global kernel instance
Should be used for most kernel tests
Returns
-------
kernel_client: connected KernelClient instance
"""
yield start_global_kernel()
def uses_kernel(test_f):
"""Decorator for tests that use the global kernel"""
def wrapped_test():
with kernel() as kc:
test_f(kc)
wrapped_test.__doc__ = test_f.__doc__
wrapped_test.__name__ = test_f.__name__
return wrapped_test
def stop_global_kernel():
"""Stop the global shared kernel instance, if it exists"""
global KM, KC
KC.stop_channels()
KC = None
if KM is None:
return
KM.shutdown_kernel(now=True)
KM = None
@contextmanager
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r12853 def new_kernel(argv=None):
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r12414 """Context manager for a new kernel in a subprocess
Should only be used for tests where the kernel must not be re-used.
Returns
-------
kernel_client: connected KernelClient instance
"""
MinRK
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r12853 km, kc = start_new_kernel(argv)
MinRK
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r12414 try:
yield kc
finally:
kc.stop_channels()
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cleanup in kernel.tests.utils
r12418 km.shutdown_kernel(now=True)
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r12414
def assemble_output(iopub):
"""assemble stdout/err from an execution"""
stdout = ''
stderr = ''
while True:
msg = iopub.get_msg(block=True, timeout=1)
msg_type = msg['msg_type']
content = msg['content']
if msg_type == 'status' and content['execution_state'] == 'idle':
# idle message signals end of output
break
elif msg['msg_type'] == 'stream':
if content['name'] == 'stdout':
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r12418 stdout += content['data']
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r12414 elif content['name'] == 'stderr':
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r12418 stderr += content['data']
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r12414 else:
raise KeyError("bad stream: %r" % content['name'])
else:
# other output, ignored
pass
return stdout, stderr
Thomas Kluyver
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r13892 def wait_for_idle(kc):
while True:
msg = kc.iopub_channel.get_msg(block=True, timeout=1)
msg_type = msg['msg_type']
content = msg['content']
if msg_type == 'status' and content['execution_state'] == 'idle':
break