Hi, is there an easy way to get the memory occupied by some object ref?
E.g. ray.sizeof(ray.put(object))

Summary

For every image in LightGBM's documentation, alternative text that describes the image should be added.

Motivation

People with limited vision use screen readers to view web pages. When these screen readers encounter an image, they will only read some placeholder like "IMAGE" by default. However, if the "alt" tag is specified,

(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

In some parts of Optuna, numpy.append is used. However, dynamically changing numpy.ndarray is slow, so for performance, it is better to append as a list first, and then cast with numpy.asarray. We are looking for someone to list and fix the parts where numpy.append is used.

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

RDF::Mean() uses plain doubles. That's better than float, but far from stable. When you run with IMT, it's actually more accurate than without, because less numbers go into one accumulator, and each running sum remains smaller. So IMT/NoIMT can break your tests (even different TBB scheduling does).

It was creating problems already in this simple test (note that the precision threshold for tes

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