本文整理汇总了Python中ipyparallel.Client.purge_hub_results方法的典型用法代码示例。如果您正苦于以下问题：Python Client.purge_hub_results方法的具体用法？Python Client.purge_hub_results怎么用？Python Client.purge_hub_results使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类ipyparallel.Client的用法示例。
在下文中一共展示了Client.purge_hub_results方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: ClusterLab
# 需要导入模块: from ipyparallel import Client [as 别名]
# 或者: from ipyparallel.Client import purge_hub_results [as 别名]
#.........这里部分代码省略.........
"""Update our results within any pending results that have completed since we
last retrieved results from the cluster.
:returns: the number of pending results completed at this call"""
# we do all the tests for pending results against the notebook directly,
# as the corresponding methods on self call this method themselves
nb = self.notebook()
# look for pending results if we're waiting for any
n = 0
if nb.numberOfPendingResults() > 0:
# we have results to get
self.open()
for j in set(nb.pendingResults()):
# query the status of a job
status = self._client.result_status(j, status_only = False)
# add all completed jobs to the notebook
if j in status['completed']:
r = status[j]
# update the result in the notebook, cancelling
# the pending result as well
# values come back from Client.result_status() in
# varying degrees of list-nesting, which LabNotebook.addResult()
# handles itself
nb.addResult(r, j)
# commit changes to the notebook
nb.commit()
# purge the completed job from the cluster
self._client.purge_hub_results(j)
# record that we retrieved the results for the given job
n = n + 1
return n
def numberOfResults( self ):
"""Return the number of results we have available at the moment.
:returns: the number of results"""
self.updateResults()
return self.notebook().numberOfResults()
def numberOfPendingResults( self ):
"""Return the number of resultswe are waiting for.
:returns: the number of pending results"""
self.updateResults()
return self.notebook().numberOfPendingResults()
def _availableResultsFraction( self ):
"""Private method to return the fraction of results available, as a real number
between 0 and 1. This does not update the results fetched from the cluster.
:returns: the fraction of available results"""
tr = self.notebook().numberOfResults() + self.notebook().numberOfPendingResults()
if tr == 0:
return 0
else:
return (self.notebook().numberOfResults() + 0.0) / tr
def readyFraction( self ):
"""Test what fraction of results are available. This will change over