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https://github.com/wassname/ray.git
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Eric Liang
3f1dd29eab
* fixes * coment out test * Update ray_constants.py * Update autoscaler_test.py * Update ray_constants.py * lint * lint
33 lines
1.1 KiB
Python
33 lines
1.1 KiB
Python
from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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"""Ray constants used in the Python code."""
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import os
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def env_integer(key, default):
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if key in os.environ:
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return int(os.environ(key))
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return default
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# Abort autoscaling if more than this number of errors are encountered. This
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# is a safety feature to prevent e.g. runaway node launches.
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AUTOSCALER_MAX_NUM_FAILURES = env_integer("AUTOSCALER_MAX_NUM_FAILURES", 5)
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# Max number of nodes to launch at a time.
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AUTOSCALER_MAX_CONCURRENT_LAUNCHES = env_integer(
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"AUTOSCALER_MAX_CONCURRENT_LAUNCHES", 10)
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# Interval at which to perform autoscaling updates.
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AUTOSCALER_UPDATE_INTERVAL_S = env_integer("AUTOSCALER_UPDATE_INTERVAL_S", 5)
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# The autoscaler will attempt to restart Ray on nodes it hasn't heard from
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# in more than this interval.
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AUTOSCALER_HEARTBEAT_TIMEOUT_S = env_integer("AUTOSCALER_HEARTBEAT_TIMEOUT_S",
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30)
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# Max number of retries to AWS (default is 5, time increases exponentially)
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BOTO_MAX_RETRIES = env_integer("BOTO_MAX_RETRIES", 12)
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