forked from pool/python-distributed
Accepting request 717982 from home:TheBlackCat:branches:devel:languages:python:numeric
- Update to 2.1.0 * Fix typo that prevented error message * Remove ``dask-mpi`` * Updates to use ``update_graph`` in task journey docs * Fix Client repr with ``memory_info=None`` * Fix case where key, rather than ``TaskState``, could end up in ``ts.waiting_on`` * Use Keyword-only arguments * Relax check for worker references in cluster context manager * Add HTTPS support for the dashboard * Use ``dask.utils.format_bytes`` - Update to 2.0.1 * Add python_requires entry to setup.py * Correctly manage tasks beyond deque limit in TaskStream plot * Fix diagnostics page for memory_limit=None - Update to 2.0.0 * **Drop support for Python 2** * Relax warnings before release * Deprecate --bokeh/--no-bokeh CLI * Typo in bokeh service_kwargs for dask-worker * Update command line cli options docs * Remove "experimental" from TLS docs * Add warnings around ncores= keywords * Add --version option to scheduler and worker CLI * Raise when workers initialization times out * Replace ncores with nthreads throughout codebase * Add unknown pytest markers * Delay lookup of allowed failures. * Change address -> worker in ColumnDataSource for nbytes plot * Remove module state in Prometheus Handlers * Add stress test for UCX * Add nanny logs * Move some of the adaptive logic into the scheduler * Add SpecCluster.new_worker_spec method * Worker dashboard fixes * Add async context managers to scheduler/worker classes * Fix the resource key representation before sending graphs * Allow user to configure whether workers are daemon. * Pin pytest >=4 with pip in appveyor and python 3.5 * Add Experimental UCX Comm * Close nannies gracefully * add kwargs to progressbars * Add back LocalCluster.__repr__. * Move bokeh module to dashboard * Close clusters at exit * Add SchedulerPlugin TaskState example * Add SpecificationCluster * Replace register_worker_callbacks with worker plugins * Proxy worker dashboards from scheduler dashboard * Add docstring to Scheduler.check_idle_saturated * Refer to LocalCluster in Client docstring * Remove special casing of Scikit-Learn BaseEstimator serialization * Fix two typos in Pub class docstring * Support uploading files with multiple modules * Change the main workers bokeh page to /status * Cleanly stop periodic callbacks in Client * Disable pan tool for the Progress, Byte Stored and Tasks Processing plot * Except errors in Nanny's memory monitor if process no longer exists * Handle heartbeat when worker has just left * Modify styling of histograms for many-worker dashboard plots * Add method to wait for n workers before continuing * Support computation on delayed(None) * Cleanup localcluster * Use 'temporary-directory' from dask.config for Worker's directory * Remove support for Iterators and Queues - Update to 1.28.1 * Use config accessor method for "scheduler-address" - Update to 1.28.0 * Add Type Attribute to TaskState * Add waiting task count to progress title bar * DOC: Clean up reference to cluster object * Allow scheduler to politely close workers as part of shutdown * Check direct_to_workers before using get_worker in Client * Fixed comment regarding keeping existing level if less verbose * Add idle timeout to scheduler * Avoid deprecation warnings * Use an LRU cache for deserialized functions * Rename Worker._close to Worker.close * Add Comm closed bookkeeping * Explain LocalCluster behavior in Client docstring * Add last worker into KilledWorker exception to help debug * Set working worker class for dask-ssh * Add as_completed methods to docs * Add timeout to Client._reconnect * Limit test_spill_by_default memory, reenable it * Use proper address in worker -> nanny comms * Fix deserialization of bytes chunks larger than 64MB - Update to 1.27.1 * Adaptive: recommend close workers when any are idle * Increase GC thresholds * Add interface= keyword to LocalCluster * Add worker_class argument to LocalCluster * Remove Python 2.7 from testing matrix * Add number of trials to diskutils test * Fix parameter name in LocalCluster docstring * Integrate stacktrace for low-level profiling * Apply Black to standardize code styling * added missing whitespace to start_worker cmd * Updated logging module doc links from docs.python.org/2 to docs.python.org/3. - Update to 1.27.0 * Add basic health endpoints to scheduler and worker bokeh. * Improved description accuracy of --memory-limit option. * Check self.dependencies when looking at dependent tasks in memory * Add RabbitMQ SchedulerPlugin example * add resources to scheduler update_graph plugin * Use ensure_bytes in serialize_error * Specify data storage explicitly from Worker constructor * Change bokeh port keywords to dashboard_address * .detach_() pytorch tensor to serialize data as numpy array. * Add warning if creating scratch directories takes a long time * Fix typo in pub-sub doc. * Allow return_when='FIRST_COMPLETED' in wait * Forward kwargs through Nanny to Worker * Use ensure_dict instead of dict * Specify protocol in LocalCluster - Update to 1.26.1 * Fix LocalCluster to not overallocate memory when overcommitting threads per worker * Make closing resilient to lacking an address * fix typo in comment * Fix double init of prometheus metrics * Skip test_duplicate_clients without bokeh. * Add blocked_handlers to servers * Always yield Server.handle_comm coroutine * Use yaml.safe_load * Fetch executables from build root. * Fix Torando 6 test failures * Fix test_sync_closed_loop - Update to 1.26.0 * Update style to fix recent flake8 update * Fix typo in gen_cluster log message * Allow KeyError when closing event loop * Avoid thread testing for TCP ThreadPoolExecutor * Find Futures inside SubgraphCallable * Avoid AttributeError when closing and sending a message * Add deprecation warning to dask_mpi.py * Relax statistical profiling test * Support alternative --remote-dask-worker SSHCluster() and dask-ssh CLI * Iterate over full list of plugins in transition * Create Prometheus Endpoint * Use pytest.importorskip for prometheus test * MAINT skip prometheus test when no installed * Fix intermittent testing failures * Avoid using nprocs keyword in dask-ssh if set to one * Bump minimum Tornado version to 5.0 OBS-URL: https://build.opensuse.org/request/show/717982 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-distributed?expand=0&rev=25
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distributed-2.1.0.tar.gz
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distributed-2.1.0.tar.gz
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version https://git-lfs.github.com/spec/v1
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-------------------------------------------------------------------
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Tue Jul 23 18:11:06 UTC 2019 - Todd R <toddrme2178@gmail.com>
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- Update to 2.1.0
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* Fix typo that prevented error message
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* Remove ``dask-mpi``
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* Updates to use ``update_graph`` in task journey docs
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* Fix Client repr with ``memory_info=None``
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* Fix case where key, rather than ``TaskState``, could end up in ``ts.waiting_on``
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* Use Keyword-only arguments
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* Relax check for worker references in cluster context manager
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* Add HTTPS support for the dashboard
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* Use ``dask.utils.format_bytes``
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- Update to 2.0.1
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* Add python_requires entry to setup.py
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* Correctly manage tasks beyond deque limit in TaskStream plot
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* Fix diagnostics page for memory_limit=None
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- Update to 2.0.0
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* **Drop support for Python 2**
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* Relax warnings before release
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* Deprecate --bokeh/--no-bokeh CLI
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* Typo in bokeh service_kwargs for dask-worker
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* Update command line cli options docs
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* Remove "experimental" from TLS docs
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* Add warnings around ncores= keywords
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* Add --version option to scheduler and worker CLI
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* Raise when workers initialization times out
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* Replace ncores with nthreads throughout codebase
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* Add unknown pytest markers
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* Delay lookup of allowed failures.
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* Change address -> worker in ColumnDataSource for nbytes plot
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* Remove module state in Prometheus Handlers
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* Add stress test for UCX
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* Add nanny logs
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* Move some of the adaptive logic into the scheduler
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* Add SpecCluster.new_worker_spec method
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* Worker dashboard fixes
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* Add async context managers to scheduler/worker classes
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* Fix the resource key representation before sending graphs
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* Allow user to configure whether workers are daemon.
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* Pin pytest >=4 with pip in appveyor and python 3.5
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* Add Experimental UCX Comm
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* Close nannies gracefully
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* add kwargs to progressbars
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* Add back LocalCluster.__repr__.
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* Move bokeh module to dashboard
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* Close clusters at exit
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* Add SchedulerPlugin TaskState example
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* Add SpecificationCluster
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* Replace register_worker_callbacks with worker plugins
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* Proxy worker dashboards from scheduler dashboard
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* Add docstring to Scheduler.check_idle_saturated
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* Refer to LocalCluster in Client docstring
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* Remove special casing of Scikit-Learn BaseEstimator serialization
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* Fix two typos in Pub class docstring
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* Support uploading files with multiple modules
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* Change the main workers bokeh page to /status
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* Cleanly stop periodic callbacks in Client
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* Disable pan tool for the Progress, Byte Stored and Tasks Processing plot
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* Except errors in Nanny's memory monitor if process no longer exists
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* Handle heartbeat when worker has just left
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* Modify styling of histograms for many-worker dashboard plots
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* Add method to wait for n workers before continuing
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* Support computation on delayed(None)
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* Cleanup localcluster
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* Use 'temporary-directory' from dask.config for Worker's directory
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* Remove support for Iterators and Queues
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- Update to 1.28.1
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* Use config accessor method for "scheduler-address"
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- Update to 1.28.0
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* Add Type Attribute to TaskState
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* Add waiting task count to progress title bar
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* DOC: Clean up reference to cluster object
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* Allow scheduler to politely close workers as part of shutdown
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* Check direct_to_workers before using get_worker in Client
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* Fixed comment regarding keeping existing level if less verbose
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* Add idle timeout to scheduler
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* Avoid deprecation warnings
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* Use an LRU cache for deserialized functions
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* Rename Worker._close to Worker.close
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* Add Comm closed bookkeeping
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* Explain LocalCluster behavior in Client docstring
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* Add last worker into KilledWorker exception to help debug
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* Set working worker class for dask-ssh
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* Add as_completed methods to docs
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* Add timeout to Client._reconnect
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* Limit test_spill_by_default memory, reenable it
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* Use proper address in worker -> nanny comms
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* Fix deserialization of bytes chunks larger than 64MB
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- Update to 1.27.1
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* Adaptive: recommend close workers when any are idle
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* Increase GC thresholds
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* Add interface= keyword to LocalCluster
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* Add worker_class argument to LocalCluster
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* Remove Python 2.7 from testing matrix
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* Add number of trials to diskutils test
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* Fix parameter name in LocalCluster docstring
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* Integrate stacktrace for low-level profiling
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* Apply Black to standardize code styling
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* added missing whitespace to start_worker cmd
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* Updated logging module doc links from docs.python.org/2 to docs.python.org/3.
|
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- Update to 1.27.0
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* Add basic health endpoints to scheduler and worker bokeh.
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* Improved description accuracy of --memory-limit option.
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* Check self.dependencies when looking at dependent tasks in memory
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* Add RabbitMQ SchedulerPlugin example
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* add resources to scheduler update_graph plugin
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* Use ensure_bytes in serialize_error
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* Specify data storage explicitly from Worker constructor
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* Change bokeh port keywords to dashboard_address
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* .detach_() pytorch tensor to serialize data as numpy array.
|
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* Add warning if creating scratch directories takes a long time
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* Fix typo in pub-sub doc.
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* Allow return_when='FIRST_COMPLETED' in wait
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* Forward kwargs through Nanny to Worker
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* Use ensure_dict instead of dict
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* Specify protocol in LocalCluster
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- Update to 1.26.1
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* Fix LocalCluster to not overallocate memory when overcommitting threads per worker
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* Make closing resilient to lacking an address
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* fix typo in comment
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* Fix double init of prometheus metrics
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* Skip test_duplicate_clients without bokeh.
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* Add blocked_handlers to servers
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* Always yield Server.handle_comm coroutine
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* Use yaml.safe_load
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* Fetch executables from build root.
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* Fix Torando 6 test failures
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* Fix test_sync_closed_loop
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- Update to 1.26.0
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* Update style to fix recent flake8 update
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* Fix typo in gen_cluster log message
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* Allow KeyError when closing event loop
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* Avoid thread testing for TCP ThreadPoolExecutor
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* Find Futures inside SubgraphCallable
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* Avoid AttributeError when closing and sending a message
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* Add deprecation warning to dask_mpi.py
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* Relax statistical profiling test
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* Support alternative --remote-dask-worker SSHCluster() and dask-ssh CLI
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* Iterate over full list of plugins in transition
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* Create Prometheus Endpoint
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* Use pytest.importorskip for prometheus test
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* MAINT skip prometheus test when no installed
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* Fix intermittent testing failures
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* Avoid using nprocs keyword in dask-ssh if set to one
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* Bump minimum Tornado version to 5.0
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-------------------------------------------------------------------
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Sat Feb 2 17:10:13 UTC 2019 - Arun Persaud <arun@gmx.de>
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@ -17,10 +17,11 @@
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%{?!python_module:%define python_module() python-%{**} python3-%{**}}
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%define skip_python2 1
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# Test requires network connection
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%bcond_with test
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Name: python-distributed
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Version: 1.25.3
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Version: 2.1.0
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Release: 0
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Summary: Library for distributed computing with Python
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License: BSD-3-Clause
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@ -33,7 +34,6 @@ BuildRequires: %{python_module scikit-learn >= 0.17.1}
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BuildRequires: %{python_module setuptools}
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BuildRequires: fdupes
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BuildRequires: python-rpm-macros
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BuildRequires: python2-futures
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Requires: python-PyYAML
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Requires: python-certifi
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Requires: python-click >= 6.6
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@ -65,11 +65,6 @@ BuildRequires: %{python_module tblib}
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BuildRequires: %{python_module toolz >= 0.7.4}
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BuildRequires: %{python_module tornado >= 4.5.1}
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BuildRequires: %{python_module zict >= 0.1.3}
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BuildRequires: python2-mock
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%endif
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%ifpython2
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Requires: python-futures
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Requires: python-singledispatch
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%endif
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%python_subpackages
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@ -104,7 +99,6 @@ clusters.
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%python3_only %{_bindir}/dask-remote
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%python3_only %{_bindir}/dask-scheduler
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%python3_only %{_bindir}/dask-worker
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%python3_only %{_bindir}/dask-mpi
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%{python_sitelib}/distributed*
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%changelog
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