parallel

When users starts Serve cluster with a set of options (http options, checkpoint path) and then connects to it with a different set of options, we should either update it, or error out.

Summary

mypy shows some issues in LightGBM's Python package.

mypy \
    --exclude='python-package/compile/|python-package/build' \
    --ignore-missing-imports \
    python-package/

python-package/lightgbm/compat.py:12: error: Name 'Series' already defined (possibly by an import)
python-package

I believe this is undocumented behaviour.

import numba as nb


@nb.njit
def f1():
    for i in nb.prange(1):
        print(type(i))  # >>> int64


@nb.njit(parallel=True)
def f2():
    for i in nb.prange(1):
        print(type(i))  # >>> uint64


f1()
f2()

This caused a nasty bug in my own code that was hard to debug as the problem did not exist without `parallel=Tr

Motivation

Since lightgbm v3.3.0, train/cv's arguments have been deprecated as described in optuna/optuna#3013. It would be great to replace such deprecated arguments with recommended way by lightgbm.

Description

Replace the deprecated arguments with callback-ish way. The ta

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

• I have searched issues for similar feature requests

What is this feature about (1 sentence)

Expose link to CI build for a run

Why is it needed? What is the value? For whom do we build it?

Be able to access the build on CI from the run

High-level feature overview

Add a link that points to CI build. The data is in run.meta.ci.

1. The rf204_extrangefit.py should be translated also to C++
2. The rf204b_extendedLikelihood_rangedFit.C tutorial should also be translated to C++
3. The [rf204b_extendedLikelihood_rangedFit.C](https://root.cern.ch/doc/master/rf204b__extendedLikelihood_