What is the problem?

bool ActorManager::AddActorHandle(std::unique_ptr<ActorHandle> actor_handle,
                                  bool is_owner_handle, const TaskID &caller_id,
                                  const std::string &call_site,
                                  const rpc::Addres

Summary

scikit-learn supports a test that people writing scikit-learn extensions can use to check API compatibility with the rest of the scikit-learn ecosystem. Such a test should be added for the code in python-package/lightgbm/dask.py.

Motivation

The discussion in #3883 focused a lot on compatibility of the dask estimators, like DaskLGBMClassifier, with the broader scikit-le

(Noticed whilst reviewing #6695)

From the docs for numba.cuda.atomic.compare_and_swap:

class compare_and_swap(ary, old, val)

Conditionally assign val to the first element of an 1D array ary if the current value matches old.
Returns the current value as if it is loaded atomically.

It seem

Motivation

optuna.visualization.plot_pareto_front could be further improved by

• aligning the color with optuna.visualization.plot_optimization_history, such that the red/blue colors represent the best points or any other points in a consistent way
• including a legend, again, similar to `optuna.visuali

Version of Singularity:

3.0.3

Expected behavior

Some progress or update information during the creation of the SIF file.

Actual behavior

During "Creating SIF file..." step, the console does not produce any visible output for the user - but does create the resulting file eventually.

Steps to reproduce behavior

I was executing a few “larger” builds through the bui

Explain what you would like to see improved

TCling::CheckClassInfo() should return (by parameter) the found decl, such that TClass::Init() can use it to construct the TClingClassInfo and that doesn't need to repeat the lookup.

To Reproduce

One:

#0  cling::LookupHelper::findScope (this=0x5555555f7be0, className=..., diagOnOff=cling::LookupHelper::NoDiagnostics, 
    resu

internal information security wants us to disable it so curious if there is an easy way to do that.

Is your feature request related to a problem? Please describe.
Would like to be able to use callback function for run_command to call when a command has finished executing.

Describe the solution you'd like

def my_cb(host_out, my_arg):
    for line in host_out.stdout:
        print(line)

client.run_command('echo me', callback=my_cb, callback_extra_args=('my_arg',))

`m