passer

same problem. Everything will work well when I reduce the number of training data

hello, when the code can be merged? I really need this feature！！

e.g. ExtensionApiDiffHandler#_get_checkpoint_notebooks ``` checkpoints = yield gen.maybe_future(cm.list_checkpoints(base)) ``` It feels better that code like the following ``` checkpoints = await ensure_async(cm.list_checkpoints(base)) ```

@jahn96 Hello, our service is based on jupyterhub. Each user has his own docker container, and each container has a labhub process. We really want to use this plugin, but...

same problem ## reproduce ### start zk ```bash cd ~/software/apache-zookeeper-3.6.2-bin/bin sh zkServer.sh start ``` ### run dubbo-admin ``` git clone [email protected]:apache/dubbo-admin.git cd dubbo-admin mvn clean package -Dmaven.test.skip=true mvn --projects dubbo-admin-server...

这个主要是由于zk 3.5.0 引入了jetty，默认启动的端口是8080，上面kill的相当于是zk进程 [zk version changelog](https://zookeeper.apache.org/doc/current/zookeeperAdmin.html)  所以把默认zk admin的端口变一下或者改一下dubbo-admin的端口就可以了

I don't know how to reproduce this situation. I think if the kernel is not found, it should not throw an exception, but just print the log, otherwise it will...

main thread dump: ``` sudo py-spy dump -p 69783 Process 69783: /Users/passer/conda/envs/jupyterlab3.1.18/bin/python /Users/passer/conda/envs/jupyterlab3.1.18/bin/jupyter-lab --debug Python v3.6.7 (/Users/passer/conda/envs/jupyterlab3.1.18/bin/python3.6) Thread 0x1198A5DC0 (idle): "MainThread" cpu_percent (psutil/__init__.py:995) get_process_metric_value (jupyter_resource_usage/metrics.py:19) (jupyter_resource_usage/metrics.py:37) (jupyter_resource_usage/metrics.py:40) process_metric (jupyter_resource_usage/metrics.py:40) get_metric_values...

$ cat ~/.jupyter/jupyter_server_config.py import psutil c.ResourceUseDisplay.track_cpu_percent = True c.ResourceUseDisplay.mem_limit = psutil.virtual_memory().total c.ResourceUseDisplay.cpu_limit = psutil.cpu_count()

same problem