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Don't disable GC when running on PyPy
PyPy's incminimark GC can't be triggered manually. From what I observed there are no obvious issues with just letting it run normally. And unlike CPython, it actually returns unused RAM to the system. Signed-off-by: Vincent Breitmoser <look@my.amazin.horse>
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@ -17,6 +17,7 @@ import logging
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import functools
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import functools
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import time
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import time
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import gc
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import gc
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import platform
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from twisted.internet import reactor
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from twisted.internet import reactor
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@ -30,6 +31,7 @@ from .process_collector import register_process_collector
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logger = logging.getLogger(__name__)
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logger = logging.getLogger(__name__)
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running_on_pypy = platform.python_implementation() == 'PyPy'
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all_metrics = []
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all_metrics = []
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all_collectors = []
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all_collectors = []
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@ -174,6 +176,9 @@ def runUntilCurrentTimer(func):
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tick_time.inc_by(end - start)
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tick_time.inc_by(end - start)
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pending_calls_metric.inc_by(num_pending)
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pending_calls_metric.inc_by(num_pending)
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if running_on_pypy:
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return ret
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# Check if we need to do a manual GC (since its been disabled), and do
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# Check if we need to do a manual GC (since its been disabled), and do
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# one if necessary.
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# one if necessary.
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threshold = gc.get_threshold()
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threshold = gc.get_threshold()
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@ -206,6 +211,7 @@ try:
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# We manually run the GC each reactor tick so that we can get some metrics
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# We manually run the GC each reactor tick so that we can get some metrics
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# about time spent doing GC,
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# about time spent doing GC,
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if not running_on_pypy:
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gc.disable()
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gc.disable()
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except AttributeError:
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except AttributeError:
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pass
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pass
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