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# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is
# regenerated.
# --------------------------------------------------------------------------
from msrest.serialization import Model
class TaskConstraints(Model):
"""Execution constraints to apply to a task.
:param max_wall_clock_time: The maximum elapsed time that the task may
run, measured from the time the task starts. If the task does not complete
within the time limit, the Batch service terminates it. If this is not
specified, there is no time limit on how long the task may run.
:type max_wall_clock_time: timedelta
:param retention_time: The minimum time to retain the task directory on
the compute node where it ran, from the time it completes execution. After
this time, the Batch service may delete the task directory and all its
contents. The default is infinite, i.e. the task directory will be
retained until the compute node is removed or reimaged.
:type retention_time: timedelta
:param max_task_retry_count: The maximum number of times the task may be
retried. The Batch service retries a task if its exit code is nonzero.
Note that this value specifically controls the number of retries for the
task executable due to a nonzero exit code. The Batch service will try the
task once, and may then retry up to this limit. For example, if the
maximum retry count is 3, Batch tries the task up to 4 times (one initial
try and 3 retries). If the maximum retry count is 0, the Batch service
does not retry the task after the first attempt. If the maximum retry
count is -1, the Batch service retries the task without limit. Resource
files and application packages are only downloaded again if the task is
retried on a new compute node.
:type max_task_retry_count: int
"""
_attribute_map = {
'max_wall_clock_time': {'key': 'maxWallClockTime', 'type': 'duration'},
'retention_time': {'key': 'retentionTime', 'type': 'duration'},
'max_task_retry_count': {'key': 'maxTaskRetryCount', 'type': 'int'},
}
def __init__(self, *, max_wall_clock_time=None, retention_time=None, max_task_retry_count: int=None, **kwargs) -> None:
super(TaskConstraints, self).__init__(**kwargs)
self.max_wall_clock_time = max_wall_clock_time
self.retention_time = retention_time
self.max_task_retry_count = max_task_retry_count
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