Hello,

While following the docs (https://docs.vaex.io/en/latest/ml.html), I've encountered the error stated in the title while trying the code in cell [7].

Responsible line:
xgmodel = vaex.ml.xgboost.XGBModel(features=features, num_round=10, param=param)

The rootpy API docs are here:
http://rootpy.org/index.html#api-reference

If you click e.g. on rootpy.io you get here:
http://rootpy.org/modules/classes.html#module-rootpy.io

Looking at this page there are several issues.

1. The deprecated io.open is listed, the current io.root_open is not. Are these lists maintained manually? If so, can we also have full auto API docs?
2. Navigation is bro

A user recently requested directions to functionality implemented by make_bounds() and was unaware of its existence because it is undocumented. This reminded me that many ncap2 functions listed by ncap2 -f (which few people know exists) may be undocumented. This task is to create a list of the undocumented functions, paste it here, and then to add a description of each to the User Guide befo

We have to verify the current version of ATV is still working well on any Linux
https://www.physics.uci.edu/~barth/atv/

this was related to "old" r4136
and also the flag to start Widgets (gdl --use-wx)

ATV should work when GDL is compiled with Widgets
even if we don't explicit set this up when starting GDL

(we had a trouble in the past with only ubuntu 14.04)

And the way to test

2) Feature Request

Currently the ordering of dimensions described in the schema is in many cases not listed in the documentation. E.g., for ElectricalSeries.data we should add to the docval that the dimensions are num_time | num_channels. This would help users avoid errors with ordering of dimensions.

This issue was motivated by #960

This issue is in part also related to #626

to improve tutorial:

• check https://llnl-conduit.readthedocs.io/en/latest/tutorial_cpp_numeric.html for info about arrays and pointers

• add details about how useful Node refs are

Follow-up of #2696/#2698.

Previously, pyopencl code used

d_array = pyopencl.array.zeros(queue, shape, dtype)

Because of the issues with pocl, this was replaced with

d_array = pyopencl.array.empty(queue, shape, dtype)
d_array.fill(0)

I see several issues:

• More code for doing the same thing, so potentially more bugs
• The code was changed because

It would be nice to have a command-line and API equivalent tool of h5disp in Matlab.

Python:

import openpmd_api

series = openpmd_api.Series("git-sample/data%T.h5",
                            openpmd_api.Access_Type.read_only)

openpmd_api.h5disp(series)
# or
series.disp()

C++:

#include <openPMD/openP