Local install only, content from current Get Started page + Pip page + WSL2 page.

Is your feature request related to a problem? Please describe.
When viewing the api docs, the alignment of certain words like Parameters, Returns, Raises etc, varies slightly and has small variations between functions.

Looks like the box width is determined by the longest string and then the rest of the words have whitespaces on the right based on the box width.

Describe the solution you'd like
Uniform alignment for the words

Additional context
Just a small thing I noticed while browsing api docs which doesn't impact (negatively) my experience while viewing docs.

Report incorrect documentation

Location of incorrect documentation

https://docs.rapids.ai/ -> Get Started (https://docs.rapids.ai/start) -> GDF CheatSheet (https://rapids.ai/assets/files/cheatsheet.pdf)

Describe the problems or issues found in the documentation
the cheat sheet references an add_column method that was removed in 0.17

Steps taken to verify documentation is incorrect
see rapidsai/cudf#6442

Suggested fix for documentation
provide alternative example with https://docs.rapids.ai/api/cudf/stable/api.html#cudf.core.dataframe.DataFrame.insert

Hi,
I am trying to make training data by adding a "category" column to a cudf data frame.

The input to the udf is gdf['descrption'] which are strings.

my udf is
def udf(description): cat=0 if "as many as possible" in description: cat=1 else: cat=0 return cat

But this doesn't work.

Additionally, description.str.contains('as many as possible') breaks the udf.

I need a way to do this somehow, how can this be done?

The current documentation is super well put together from a technical standpoint. If possible, I'd like to start a conversation about discoverability and navigation, particularly by novice users.

As an example, the current path I take to get to the cudf API documentation is long, and non-trivial to navigate.

• Navigate to https://rapids.ai
• Click "Docs"
• Click "API Docs" in the upper right on the sidebar
• Click "stable" under RAPIDS APIS / Cudf

At each of these stages I have to do a bit of mental work to find the right link. As an extreme example consider this page:

The link that I think is the most relevant today (stable or nightly for cudf) is quite small and hard to get to. If this is indeed the most common path, then ideally it should be towards the top and also visually prominent. It also only makes sense to developers who understand what "stable" and "nightly" mean. Compare this to, for example the "Intended Audience" section, which comes first, and has nicely colored boxes for "community" and "developers". While relevant, this information probably isn't the most relevant to the average user visiting this page.

If we have access to someone with extensive web UI experience (which is a challenging skill) it might be nice to get them to take a look at how things are laid out and make suggestions for where to place highly trafficked information with more prominence. The example I gave above is just one case. I imagine that we're mildly inefficient in a few other cases.

Quick fix might be to add css:

api-page-header {
position: relative;
z-index: 999;
...
}

However - overflows b/c of fixed bar height of 60px; Needs some thinking for the additional nav items.

As shown in the screenshot below, our search results look pretty bad. The search results for the just-the-docs theme that we use look a lot better. We should investigate why our search results don't look like theirs.

Report incorrect documentation

Location of incorrect documentation
https://docs.rapids.ai/api

Describe the problems or issues found in the documentation
APIs list NVstrings (legacy) but will soon have no links - we should add a comment to note that NVstrings is now part of cuDF or remove it all together.

Describe the bug
API reference websites in doc.rapids.ai cannot be scrolled in iOS devices (tested in iPhone X, iPad Pro). When trying to scroll only the upper bar moves.

To Reproduce
Open https://docs.rapids.ai/api/cudf/stable/ in an iPhone or iPad and try to scroll.

Expected behavior
Websites should be scrollable (and ideal responsive) on iOS devices.

Smartphone (please complete the following information):

• Device: iPhone X, iPhone XS Max, and iPad Pro 11''
• OS: iOS 12.3.1
• Browser Safari

Tagging @miguelangel that found this originally

Describe the bug
This appears in the 22.08 nightly docs, but not in the stable 22.06 docs, so we should get it fixed before 22.08 release.

In dark mode, the paragraph font color is light grey on white, which is hard to read.

Here's the same text in light mode, or in the stable 22.06 docs:

If you are on a mac with dark mode set, this is the default, which is bad. You can cycle through modes on the site with this button (left one):

Note that another bug is that there is no hover hint text on that button. But you can see what it does if you turn on the javascript console, where it prints:

Changed to light mode using the light theme. pydata-sphinx-theme.js:32:63449
Changed to dark mode using the dark theme. pydata-sphinx-theme.js:32:63449
Changed to auto mode using the dark theme.

Verified this on Firefox and Chrome on Mac and Window.

Is your feature request related to a problem? Please describe.
I have accidentally typed a non-existing rapids page (https://rapids.ai/home), and I have noticed that the 404 error displayed corresponds to GitHub's default 404.

I think it might be nice to have our custom 404 error.

Describe the solution you'd like
Custom 404 error page.

I was replicating this very first RAPIDS tutorial from Google Colab
https://colab.research.google.com/drive/1rY7Ln6rEE1pOlfSHCYOVaqt8OvDO35J0#forceEdit=true&sandboxMode=true&scrollTo=m0jdXBRiDSzj

I've installed RAPIDS on an instance that was previously running VAEX

And on executing the following lines of code

import cudf
import io, requests


# read CSV from memory
tips_df = cudf.read_csv(io.StringIO(os.join.path(DATA_PATH, "head_dataset_csv.csv")))
tips_df['tip_percentage'] = tips_df['tip']/tips_df['total_bill']*100

# display average tip by dining party size
print(tips_df.groupby('size').tip_percentage.mean()

I've got the following error:

ImportError                               Traceback (most recent call last)
<ipython-input-34-3c03972cb412> in <module>()
----> 1 import cudf
      2 import io, requests
      3 
      4 
      5 # read CSV from memory

2 frames
/usr/local/lib/python3.6/site-packages/rmm/rmm.py in <module>()
     18 import numpy as np
     19 from numba import cuda
---> 20 from numba.cuda import HostOnlyCUDAMemoryManager, IpcHandle, MemoryPointer
     21 
     22 import rmm._lib as librmm

ImportError: cannot import name 'HostOnlyCUDAMemoryManager'

---------------------------------------------------------------------------
NOTE: If your import is failing due to a missing package, you can
manually install dependencies using either !pip or !apt.

To view examples of installing some common dependencies, click the
"Open Examples" button below.

Cloning into 'rapidsai-csp-utils'...
remote: Enumerating objects: 14, done.
remote: Counting objects: 100% (14/14), done.
remote: Compressing objects: 100% (14/14), done.
remote: Total 185 (delta 5), reused 0 (delta 0), pack-reused 171
Receiving objects: 100% (185/185), 57.14 KiB | 622.00 KiB/s, done.
Resolving deltas: 100% (67/67), done.
PLEASE READ

Changes:

1. IMPORTANT CHANGES: RAPIDS on Colab will be pegged to 0.14 Stable until further notice.
2. Default stable version is now 0.14. Nightly will redirect to 0.14.
3. You can now declare your RAPIDSAI version as a CLI option and skip the user prompts (ex: '0.14' or '0.15', between 0.13 to 0.14, without the quotes):
   "!bash rapidsai-csp-utils/colab/rapids-colab.sh <version/label>"
   Examples: '!bash rapidsai-csp-utils/colab/rapids-colab.sh 0.14', or '!bash rapidsai-csp-utils/colab/rapids-colab.sh stable', or '!bash rapidsai-csp-utils/colab/rapids-colab.sh s'
   '!bash rapidsai-csp-utils/colab/rapids-colab.sh 0.15, or '!bash rapidsai-csp-utils/colab/rapids-colab.sh nightly', or '!bash rapidsai-csp-utils/colab/rapids-colab.sh n'
   Enjoy using RAPIDS! If you have any issues with or suggestions for RAPIDSAI on Colab, please create a bug request on https://github.com/rapidsai/rapidsai-csp-utils/issues/new. Thanks!
   Starting to prep Colab for install RAPIDS Version 0.14 stable
   Checking for GPU type:

Woo! Your instance has the right kind of GPU, a 'Tesla V100-SXM2-16GB'!

Removing conflicting packages, will replace with RAPIDS compatible versions
Uninstalling xgboost-0.90:
Successfully uninstalled xgboost-0.90
Uninstalling dask-2.12.0:
Successfully uninstalled dask-2.12.0
Uninstalling distributed-1.25.3:
Successfully uninstalled distributed-1.25.3
Installing conda
--2020-09-18 21:45:55-- https://repo.continuum.io/miniconda/Miniconda3-4.5.4-Linux-x86_64.sh
Resolving repo.continuum.io (repo.continuum.io)... 104.18.200.79, 104.18.201.79, 2606:4700::6812:c94f, ...
Connecting to repo.continuum.io (repo.continuum.io)|104.18.200.79|:443... connected.
HTTP request sent, awaiting response... 301 Moved Permanently
Location: https://repo.anaconda.com/miniconda/Miniconda3-4.5.4-Linux-x86_64.sh [following]
--2020-09-18 21:45:55-- https://repo.anaconda.com/miniconda/Miniconda3-4.5.4-Linux-x86_64.sh
Resolving repo.anaconda.com (repo.anaconda.com)... 104.16.130.3, 104.16.131.3, 2606:4700::6810:8303, ...
Connecting to repo.anaconda.com (repo.anaconda.com)|104.16.130.3|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 58468498 (56M) [application/x-sh]
Saving to: ‘Miniconda3-4.5.4-Linux-x86_64.sh’

Miniconda3-4.5.4-Li 100%[===================>] 55.76M 221MB/s in 0.3s

2020-09-18 21:45:56 (221 MB/s) - ‘Miniconda3-4.5.4-Linux-x86_64.sh’ saved [58468498/58468498]

PREFIX=/usr/local
installing: python-3.6.5-hc3d631a_2 ...
Python 3.6.5 :: Anaconda, Inc.
installing: ca-certificates-2018.03.07-0 ...
installing: conda-env-2.6.0-h36134e3_1 ...
installing: libgcc-ng-7.2.0-hdf63c60_3 ...
installing: libstdcxx-ng-7.2.0-hdf63c60_3 ...
installing: libffi-3.2.1-hd88cf55_4 ...
installing: ncurses-6.1-hf484d3e_0 ...
installing: openssl-1.0.2o-h20670df_0 ...
installing: tk-8.6.7-hc745277_3 ...
installing: xz-5.2.4-h14c3975_4 ...
installing: yaml-0.1.7-had09818_2 ...
installing: zlib-1.2.11-ha838bed_2 ...
installing: libedit-3.1.20170329-h6b74fdf_2 ...
installing: readline-7.0-ha6073c6_4 ...
installing: sqlite-3.23.1-he433501_0 ...
installing: asn1crypto-0.24.0-py36_0 ...
installing: certifi-2018.4.16-py36_0 ...
installing: chardet-3.0.4-py36h0f667ec_1 ...
installing: idna-2.6-py36h82fb2a8_1 ...
installing: pycosat-0.6.3-py36h0a5515d_0 ...
installing: pycparser-2.18-py36hf9f622e_1 ...
installing: pysocks-1.6.8-py36_0 ...
installing: ruamel_yaml-0.15.37-py36h14c3975_2 ...
installing: six-1.11.0-py36h372c433_1 ...
installing: cffi-1.11.5-py36h9745a5d_0 ...
installing: setuptools-39.2.0-py36_0 ...
installing: cryptography-2.2.2-py36h14c3975_0 ...
installing: wheel-0.31.1-py36_0 ...
installing: pip-10.0.1-py36_0 ...
installing: pyopenssl-18.0.0-py36_0 ...
installing: urllib3-1.22-py36hbe7ace6_0 ...
installing: requests-2.18.4-py36he2e5f8d_1 ...
installing: conda-4.5.4-py36_0 ...
installation finished.
WARNING:
You currently have a PYTHONPATH environment variable set. This may cause
unexpected behavior when running the Python interpreter in Miniconda3.
For best results, please verify that your PYTHONPATH only points to
directories of packages that are compatible with the Python interpreter
in Miniconda3: /usr/local
Solving environment: done

Package Plan

environment location: /usr/local

added / updated specs:
- conda
- python=3.6

The following packages will be downloaded:

package                    |            build
---------------------------|-----------------
libgcc-ng-9.1.0            |       hdf63c60_0         8.1 MB
ca-certificates-2020.7.22  |                0         132 KB
openssl-1.1.1g             |       h7b6447c_0         3.8 MB
conda-4.8.4                |           py36_0         3.0 MB
pyopenssl-19.1.0           |             py_1          47 KB
_libgcc_mutex-0.1          |             main           3 KB
libstdcxx-ng-9.1.0         |       hdf63c60_0         4.0 MB
ncurses-6.2                |       he6710b0_1         1.1 MB
certifi-2020.6.20          |           py36_0         160 KB
pip-20.2.2                 |           py36_0         2.0 MB
tqdm-4.48.2                |             py_0          63 KB
ruamel_yaml-0.15.87        |   py36h7b6447c_1         256 KB
six-1.15.0                 |             py_0          13 KB
setuptools-49.6.0          |           py36_0         927 KB
cffi-1.14.2                |   py36he30daa8_0         228 KB
brotlipy-0.7.0             |py36h7b6447c_1000         348 KB
conda-package-handling-1.6.1|   py36h7b6447c_0         886 KB
chardet-3.0.4              |        py36_1003         197 KB
urllib3-1.25.10            |             py_0          93 KB
libedit-3.1.20191231       |       h14c3975_1         121 KB
pycosat-0.6.3              |   py36h7b6447c_0         107 KB
tk-8.6.10                  |       hbc83047_0         3.2 MB
readline-8.0               |       h7b6447c_0         428 KB
sqlite-3.33.0              |       h62c20be_0         2.0 MB
ld_impl_linux-64-2.33.1    |       h53a641e_7         645 KB
pycparser-2.20             |             py_2          94 KB
pysocks-1.7.1              |           py36_0          30 KB
requests-2.24.0            |             py_0          54 KB
idna-2.10                  |             py_0          56 KB
zlib-1.2.11                |       h7b6447c_3         120 KB
libffi-3.3                 |       he6710b0_2          54 KB
cryptography-3.1           |   py36h1ba5d50_0         622 KB
python-3.6.12              |       hcff3b4d_2        34.0 MB
xz-5.2.5                   |       h7b6447c_0         438 KB
yaml-0.2.5                 |       h7b6447c_0          87 KB
wheel-0.35.1               |             py_0          36 KB
------------------------------------------------------------
                                       Total:        67.5 MB

The following NEW packages will be INSTALLED:

_libgcc_mutex:          0.1-main               
brotlipy:               0.7.0-py36h7b6447c_1000
conda-package-handling: 1.6.1-py36h7b6447c_0   
ld_impl_linux-64:       2.33.1-h53a641e_7      
tqdm:                   4.48.2-py_0            

The following packages will be UPDATED:

ca-certificates:        2018.03.07-0            --> 2020.7.22-0            
certifi:                2018.4.16-py36_0        --> 2020.6.20-py36_0       
cffi:                   1.11.5-py36h9745a5d_0   --> 1.14.2-py36he30daa8_0  
chardet:                3.0.4-py36h0f667ec_1    --> 3.0.4-py36_1003        
conda:                  4.5.4-py36_0            --> 4.8.4-py36_0           
cryptography:           2.2.2-py36h14c3975_0    --> 3.1-py36h1ba5d50_0     
idna:                   2.6-py36h82fb2a8_1      --> 2.10-py_0              
libedit:                3.1.20170329-h6b74fdf_2 --> 3.1.20191231-h14c3975_1
libffi:                 3.2.1-hd88cf55_4        --> 3.3-he6710b0_2         
libgcc-ng:              7.2.0-hdf63c60_3        --> 9.1.0-hdf63c60_0       
libstdcxx-ng:           7.2.0-hdf63c60_3        --> 9.1.0-hdf63c60_0       
ncurses:                6.1-hf484d3e_0          --> 6.2-he6710b0_1         
openssl:                1.0.2o-h20670df_0       --> 1.1.1g-h7b6447c_0      
pip:                    10.0.1-py36_0           --> 20.2.2-py36_0          
pycosat:                0.6.3-py36h0a5515d_0    --> 0.6.3-py36h7b6447c_0   
pycparser:              2.18-py36hf9f622e_1     --> 2.20-py_2              
pyopenssl:              18.0.0-py36_0           --> 19.1.0-py_1            
pysocks:                1.6.8-py36_0            --> 1.7.1-py36_0           
python:                 3.6.5-hc3d631a_2        --> 3.6.12-hcff3b4d_2      
readline:               7.0-ha6073c6_4          --> 8.0-h7b6447c_0         
requests:               2.18.4-py36he2e5f8d_1   --> 2.24.0-py_0            
ruamel_yaml:            0.15.37-py36h14c3975_2  --> 0.15.87-py36h7b6447c_1 
setuptools:             39.2.0-py36_0           --> 49.6.0-py36_0          
six:                    1.11.0-py36h372c433_1   --> 1.15.0-py_0            
sqlite:                 3.23.1-he433501_0       --> 3.33.0-h62c20be_0      
tk:                     8.6.7-hc745277_3        --> 8.6.10-hbc83047_0      
urllib3:                1.22-py36hbe7ace6_0     --> 1.25.10-py_0           
wheel:                  0.31.1-py36_0           --> 0.35.1-py_0            
xz:                     5.2.4-h14c3975_4        --> 5.2.5-h7b6447c_0       
yaml:                   0.1.7-had09818_2        --> 0.2.5-h7b6447c_0       
zlib:                   1.2.11-ha838bed_2       --> 1.2.11-h7b6447c_3      

Downloading and Extracting Packages
libgcc-ng-9.1.0 | 8.1 MB | : 100% 1.0/1 [00:01<00:00, 1.28s/it]
ca-certificates-2020 | 132 KB | : 100% 1.0/1 [00:00<00:00, 23.88it/s]
openssl-1.1.1g | 3.8 MB | : 100% 1.0/1 [00:00<00:00, 1.45it/s]
conda-4.8.4 | 3.0 MB | : 100% 1.0/1 [00:00<00:00, 1.40it/s]
pyopenssl-19.1.0 | 47 KB | : 100% 1.0/1 [00:00<00:00, 24.41it/s]
_libgcc_mutex-0.1 | 3 KB | : 100% 1.0/1 [00:00<00:00, 35.00it/s]
libstdcxx-ng-9.1.0 | 4.0 MB | : 100% 1.0/1 [00:00<00:00, 1.52it/s]
ncurses-6.2 | 1.1 MB | : 100% 1.0/1 [00:00<00:00, 1.18it/s]
certifi-2020.6.20 | 160 KB | : 100% 1.0/1 [00:00<00:00, 18.27it/s]
pip-20.2.2 | 2.0 MB | : 100% 1.0/1 [00:00<00:00, 1.62it/s]
tqdm-4.48.2 | 63 KB | : 100% 1.0/1 [00:00<00:00, 19.94it/s]
ruamel_yaml-0.15.87 | 256 KB | : 100% 1.0/1 [00:00<00:00, 11.26it/s]
six-1.15.0 | 13 KB | : 100% 1.0/1 [00:00<00:00, 29.53it/s]
setuptools-49.6.0 | 927 KB | : 100% 1.0/1 [00:00<00:00, 3.36it/s]
cffi-1.14.2 | 228 KB | : 100% 1.0/1 [00:00<00:00, 11.04it/s]
brotlipy-0.7.0 | 348 KB | : 100% 1.0/1 [00:00<00:00, 12.61it/s]
conda-package-handli | 886 KB | : 100% 1.0/1 [00:00<00:00, 6.28it/s]
chardet-3.0.4 | 197 KB | : 100% 1.0/1 [00:00<00:00, 8.90it/s]
urllib3-1.25.10 | 93 KB | : 100% 1.0/1 [00:00<00:00, 17.41it/s]
libedit-3.1.20191231 | 121 KB | : 100% 1.0/1 [00:00<00:00, 15.95it/s]
pycosat-0.6.3 | 107 KB | : 100% 1.0/1 [00:00<00:00, 23.77it/s]
tk-8.6.10 | 3.2 MB | : 100% 1.0/1 [00:00<00:00, 1.45it/s]
readline-8.0 | 428 KB | : 100% 1.0/1 [00:00<00:00, 8.25it/s]
sqlite-3.33.0 | 2.0 MB | : 100% 1.0/1 [00:00<00:00, 2.94it/s]
ld_impl_linux-64-2.3 | 645 KB | : 100% 1.0/1 [00:00<00:00, 6.79it/s]
pycparser-2.20 | 94 KB | : 100% 1.0/1 [00:00<00:00, 13.97it/s]
pysocks-1.7.1 | 30 KB | : 100% 1.0/1 [00:00<00:00, 40.38it/s]
requests-2.24.0 | 54 KB | : 100% 1.0/1 [00:00<00:00, 28.75it/s]
idna-2.10 | 56 KB | : 100% 1.0/1 [00:00<00:00, 22.74it/s]
zlib-1.2.11 | 120 KB | : 100% 1.0/1 [00:00<00:00, 26.08it/s]
libffi-3.3 | 54 KB | : 100% 1.0/1 [00:00<00:00, 26.99it/s]
cryptography-3.1 | 622 KB | : 100% 1.0/1 [00:00<00:00, 4.18it/s]
python-3.6.12 | 34.0 MB | : 100% 1.0/1 [00:05<00:00, 5.15s/it]
xz-5.2.5 | 438 KB | : 100% 1.0/1 [00:00<00:00, 7.92it/s]
yaml-0.2.5 | 87 KB | : 100% 1.0/1 [00:00<00:00, 24.62it/s]
wheel-0.35.1 | 36 KB | : 100% 1.0/1 [00:00<00:00, 29.10it/s]
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
Collecting package metadata (current_repodata.json): done
Solving environment: done

Package Plan

environment location: /usr/local

The following packages will be downloaded:

package                    |            build
---------------------------|-----------------
_libgcc_mutex-0.1          |      conda_forge           3 KB  conda-forge
_openmp_mutex-4.5          |            1_gnu          22 KB  conda-forge
brotlipy-0.7.0             |py36h8c4c3a4_1000         346 KB  conda-forge
ca-certificates-2020.6.20  |       hecda079_0         145 KB  conda-forge
certifi-2020.6.20          |   py36h9f0ad1d_0         151 KB  conda-forge
cffi-1.11.5                |           py36_0         406 KB  conda-forge
chardet-3.0.4              |py36h9f0ad1d_1007         187 KB  conda-forge
conda-4.8.5                |   py36h9f0ad1d_1         3.0 MB  conda-forge
conda-package-handling-1.7.0|   py36h8c4c3a4_5         934 KB  conda-forge
cryptography-3.1           |   py36h45558ae_0         615 KB  conda-forge
idna-2.10                  |     pyh9f0ad1d_0          52 KB  conda-forge
ld_impl_linux-64-2.35      |       h769bd43_9         617 KB  conda-forge
libgcc-ng-9.3.0            |      h24d8f2e_16         7.8 MB  conda-forge
libgomp-9.3.0              |      h24d8f2e_16         378 KB  conda-forge
libstdcxx-ng-9.3.0         |      hdf63c60_16         4.0 MB  conda-forge
ncurses-6.2                |       he1b5a44_1         993 KB  conda-forge
openssl-1.1.1g             |       h516909a_1         2.1 MB  conda-forge
pip-20.2.3                 |             py_0         1.1 MB  conda-forge
pycosat-0.6.3              |py36h8c4c3a4_1004         107 KB  conda-forge
pycparser-2.20             |     pyh9f0ad1d_2          94 KB  conda-forge
pyopenssl-19.1.0           |             py_1          47 KB  conda-forge
pysocks-1.7.1              |   py36h9f0ad1d_1          27 KB  conda-forge
python_abi-3.6             |          1_cp36m           4 KB  conda-forge
readline-8.0               |       he28a2e2_2         281 KB  conda-forge
requests-2.24.0            |     pyh9f0ad1d_0          47 KB  conda-forge
ruamel_yaml-0.15.80        |py36h8c4c3a4_1002         254 KB  conda-forge
setuptools-49.6.0          |   py36h9f0ad1d_1         934 KB  conda-forge
six-1.15.0                 |     pyh9f0ad1d_0          14 KB  conda-forge
sqlite-3.33.0              |       h4cf870e_0         1.4 MB  conda-forge
tk-8.6.10                  |       hed695b0_0         3.2 MB  conda-forge
tqdm-4.49.0                |     pyh9f0ad1d_0          54 KB  conda-forge
urllib3-1.25.10            |             py_0          92 KB  conda-forge
wheel-0.35.1               |     pyh9f0ad1d_0          29 KB  conda-forge
xz-5.2.5                   |       h516909a_1         343 KB  conda-forge
yaml-0.2.5                 |       h516909a_0          82 KB  conda-forge
zlib-1.2.11                |    h516909a_1009         106 KB  conda-forge
------------------------------------------------------------
                                       Total:        29.9 MB

The following NEW packages will be INSTALLED:

_openmp_mutex conda-forge/linux-64::_openmp_mutex-4.5-1_gnu
libgomp conda-forge/linux-64::libgomp-9.3.0-h24d8f2e_16
python_abi conda-forge/linux-64::python_abi-3.6-1_cp36m

The following packages will be REMOVED:

asn1crypto-0.24.0-py36_0
conda-env-2.6.0-h36134e3_1
libedit-3.1.20191231-h14c3975_1

The following packages will be UPDATED:

chardet pkgs/main::chardet-3.0.4-py36_1003 --> conda-forge::chardet-3.0.4-py36h9f0ad1d_1007
conda pkgs/main::conda-4.8.4-py36_0 --> conda-forge::conda-4.8.5-py36h9f0ad1d_1
conda-package-han~ pkgs/main::conda-package-handling-1.6~ --> conda-forge::conda-package-handling-1.7.0-py36h8c4c3a4_5
ld_impl_linux-64 pkgs/main::ld_impl_linux-64-2.33.1-h5~ --> conda-forge::ld_impl_linux-64-2.35-h769bd43_9
libgcc-ng pkgs/main::libgcc-ng-9.1.0-hdf63c60_0 --> conda-forge::libgcc-ng-9.3.0-h24d8f2e_16
libstdcxx-ng pkgs/main::libstdcxx-ng-9.1.0-hdf63c6~ --> conda-forge::libstdcxx-ng-9.3.0-hdf63c60_16
openssl pkgs/main::openssl-1.1.1g-h7b6447c_0 --> conda-forge::openssl-1.1.1g-h516909a_1
pip pkgs/main/linux-64::pip-20.2.2-py36_0 --> conda-forge/noarch::pip-20.2.3-py_0
pycosat pkgs/main::pycosat-0.6.3-py36h7b6447c~ --> conda-forge::pycosat-0.6.3-py36h8c4c3a4_1004
pysocks pkgs/main::pysocks-1.7.1-py36_0 --> conda-forge::pysocks-1.7.1-py36h9f0ad1d_1
readline pkgs/main::readline-8.0-h7b6447c_0 --> conda-forge::readline-8.0-he28a2e2_2
setuptools pkgs/main::setuptools-49.6.0-py36_0 --> conda-forge::setuptools-49.6.0-py36h9f0ad1d_1
tqdm pkgs/main::tqdm-4.48.2-py_0 --> conda-forge::tqdm-4.49.0-pyh9f0ad1d_0
xz pkgs/main::xz-5.2.5-h7b6447c_0 --> conda-forge::xz-5.2.5-h516909a_1
zlib pkgs/main::zlib-1.2.11-h7b6447c_3 --> conda-forge::zlib-1.2.11-h516909a_1009

The following packages will be SUPERSEDED by a higher-priority channel:

_libgcc_mutex pkgs/main::_libgcc_mutex-0.1-main --> conda-forge::_libgcc_mutex-0.1-conda_forge
brotlipy pkgs/main::brotlipy-0.7.0-py36h7b6447~ --> conda-forge::brotlipy-0.7.0-py36h8c4c3a4_1000
ca-certificates pkgs/main::ca-certificates-2020.7.22-0 --> conda-forge::ca-certificates-2020.6.20-hecda079_0
certifi pkgs/main::certifi-2020.6.20-py36_0 --> conda-forge::certifi-2020.6.20-py36h9f0ad1d_0
cffi pkgs/main::cffi-1.14.2-py36he30daa8_0 --> conda-forge::cffi-1.11.5-py36_0
cryptography pkgs/main::cryptography-3.1-py36h1ba5~ --> conda-forge::cryptography-3.1-py36h45558ae_0
idna pkgs/main::idna-2.10-py_0 --> conda-forge::idna-2.10-pyh9f0ad1d_0
ncurses pkgs/main::ncurses-6.2-he6710b0_1 --> conda-forge::ncurses-6.2-he1b5a44_1
pycparser pkgs/main::pycparser-2.20-py_2 --> conda-forge::pycparser-2.20-pyh9f0ad1d_2
pyopenssl pkgs/main --> conda-forge
requests pkgs/main::requests-2.24.0-py_0 --> conda-forge::requests-2.24.0-pyh9f0ad1d_0
ruamel_yaml pkgs/main::ruamel_yaml-0.15.87-py36h7~ --> conda-forge::ruamel_yaml-0.15.80-py36h8c4c3a4_1002
six pkgs/main::six-1.15.0-py_0 --> conda-forge::six-1.15.0-pyh9f0ad1d_0
sqlite pkgs/main::sqlite-3.33.0-h62c20be_0 --> conda-forge::sqlite-3.33.0-h4cf870e_0
tk pkgs/main::tk-8.6.10-hbc83047_0 --> conda-forge::tk-8.6.10-hed695b0_0
urllib3 pkgs/main --> conda-forge
wheel pkgs/main::wheel-0.35.1-py_0 --> conda-forge::wheel-0.35.1-pyh9f0ad1d_0
yaml pkgs/main::yaml-0.2.5-h7b6447c_0 --> conda-forge::yaml-0.2.5-h516909a_0

Downloading and Extracting Packages
_openmp_mutex-4.5 | 22 KB | : 100% 1.0/1 [00:00<00:00, 12.36it/s]
setuptools-49.6.0 | 934 KB | : 100% 1.0/1 [00:00<00:00, 3.89it/s]
xz-5.2.5 | 343 KB | : 100% 1.0/1 [00:00<00:00, 10.77it/s]
pycosat-0.6.3 | 107 KB | : 100% 1.0/1 [00:00<00:00, 17.40it/s]
urllib3-1.25.10 | 92 KB | : 100% 1.0/1 [00:00<00:00, 14.48it/s]
tqdm-4.49.0 | 54 KB | : 100% 1.0/1 [00:00<00:00, 23.95it/s]
pip-20.2.3 | 1.1 MB | : 100% 1.0/1 [00:00<00:00, 3.89it/s]
libgcc-ng-9.3.0 | 7.8 MB | : 100% 1.0/1 [00:01<00:00, 1.21s/it]
libstdcxx-ng-9.3.0 | 4.0 MB | : 100% 1.0/1 [00:00<00:00, 1.55it/s]
readline-8.0 | 281 KB | : 100% 1.0/1 [00:00<00:00, 12.27it/s]
idna-2.10 | 52 KB | : 100% 1.0/1 [00:00<00:00, 21.04it/s]
_libgcc_mutex-0.1 | 3 KB | : 100% 1.0/1 [00:00<00:00, 41.94it/s]
ca-certificates-2020 | 145 KB | : 100% 1.0/1 [00:00<00:00, 21.89it/s]
conda-4.8.5 | 3.0 MB | : 100% 1.0/1 [00:00<00:00, 1.69it/s]
pyopenssl-19.1.0 | 47 KB | : 100% 1.0/1 [00:00<00:00, 18.36it/s]
ncurses-6.2 | 993 KB | : 100% 1.0/1 [00:00<00:00, 2.62it/s]
ld_impl_linux-64-2.3 | 617 KB | : 100% 1.0/1 [00:00<00:00, 7.12it/s]
requests-2.24.0 | 47 KB | : 100% 1.0/1 [00:00<00:00, 25.86it/s]
ruamel_yaml-0.15.80 | 254 KB | : 100% 1.0/1 [00:00<00:00, 12.37it/s]
sqlite-3.33.0 | 1.4 MB | : 100% 1.0/1 [00:00<00:00, 3.19it/s]
cffi-1.11.5 | 406 KB | : 100% 1.0/1 [00:00<00:00, 10.66it/s]
pysocks-1.7.1 | 27 KB | : 100% 1.0/1 [00:00<00:00, 29.51it/s]
wheel-0.35.1 | 29 KB | : 100% 1.0/1 [00:00<00:00, 32.69it/s]
chardet-3.0.4 | 187 KB | : 100% 1.0/1 [00:00<00:00, 13.90it/s]
conda-package-handli | 934 KB | : 100% 1.0/1 [00:00<00:00, 6.26it/s]
python_abi-3.6 | 4 KB | : 100% 1.0/1 [00:00<00:00, 30.70it/s]
pycparser-2.20 | 94 KB | : 100% 1.0/1 [00:00<00:00, 17.88it/s]
libgomp-9.3.0 | 378 KB | : 100% 1.0/1 [00:00<00:00, 12.51it/s]
six-1.15.0 | 14 KB | : 100% 1.0/1 [00:00<00:00, 41.67it/s]
yaml-0.2.5 | 82 KB | : 100% 1.0/1 [00:00<00:00, 24.53it/s]
brotlipy-0.7.0 | 346 KB | : 100% 1.0/1 [00:00<00:00, 13.40it/s]
tk-8.6.10 | 3.2 MB | : 100% 1.0/1 [00:00<00:00, 1.66it/s]
zlib-1.2.11 | 106 KB | : 100% 1.0/1 [00:00<00:00, 23.72it/s]
cryptography-3.1 | 615 KB | : 100% 1.0/1 [00:00<00:00, 5.07it/s]
openssl-1.1.1g | 2.1 MB | : 100% 1.0/1 [00:00<00:00, 2.76it/s]
certifi-2020.6.20 | 151 KB | : 100% 1.0/1 [00:00<00:00, 20.10it/s]
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
Collecting package metadata (current_repodata.json): done
Solving environment: done

All requested packages already installed.

Installing RAPIDS 0.14 packages from the stable release channel
Please standby, this will take a few minutes...
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: done

Package Plan

environment location: /usr/local

added / updated specs:
- cudatoolkit=10.1
- cudf=0.14
- cugraph
- cuml
- cusignal
- cuspatial
- dask-cudf
- gcsfs
- gdal=3.0.4
- pynvml
- python=3.6
- xgboost=1.1.0dev.rapidsai0.14

The following packages will be downloaded:

package                    |            build
---------------------------|-----------------
aiohttp-3.6.2              |   py36h516909a_0         605 KB  conda-forge
arrow-cpp-0.15.0           |   py36h090bef1_2        18.1 MB  conda-forge
async-timeout-3.0.1        |          py_1000          11 KB  conda-forge
attrs-20.2.0               |     pyh9f0ad1d_0          41 KB  conda-forge
blinker-1.4                |             py_1          13 KB  conda-forge
bokeh-2.2.1                |   py36h9f0ad1d_0         6.9 MB  conda-forge
boost-1.70.0               |   py36h9de70de_1         337 KB  conda-forge
boost-cpp-1.70.0           |       h8e57a91_2        21.1 MB  conda-forge
brotli-1.0.9               |       he1b5a44_0         394 KB  conda-forge
bzip2-1.0.8                |       h516909a_3         398 KB  conda-forge
c-ares-1.16.1              |       h516909a_3         107 KB  conda-forge
cachetools-4.1.1           |             py_0          12 KB  conda-forge
cairo-1.16.0               |    hcf35c78_1003         1.5 MB  conda-forge
cfitsio-3.470              |       hce51eda_6         1.3 MB  conda-forge
click-7.1.2                |     pyh9f0ad1d_0          64 KB  conda-forge
cloudpickle-1.6.0          |             py_0          22 KB  conda-forge
contextvars-2.4            |             py_0          11 KB  conda-forge
cudatoolkit-10.1.243       |       h6bb024c_0       513.2 MB  nvidia
cudf-0.14.0                |           py36_0        25.7 MB  rapidsai/label/main
cudnn-7.6.0                |       cuda10.1_0       240.9 MB  nvidia
cugraph-0.14.0             |           py36_0         6.9 MB  rapidsai/label/main
cuml-0.14.0                |  cuda10.1_py36_0         9.6 MB  rapidsai/label/main
cupy-7.8.0                 |   py36h5c369b2_1        20.6 MB  conda-forge
curl-7.71.1                |       he644dc0_6         139 KB  conda-forge
cusignal-0.14.1            |           py36_0          87 KB  rapidsai/label/main
cuspatial-0.14.0           |           py36_0         3.6 MB  rapidsai/label/main
cytoolz-0.10.1             |   py36h516909a_0         431 KB  conda-forge
dask-2.26.0                |             py_0           4 KB  conda-forge
dask-core-2.26.0           |             py_0         636 KB  conda-forge
dask-cudf-0.14.0           |           py36_0          81 KB  rapidsai/label/main
distributed-2.26.0         |   py36h9f0ad1d_0         1.0 MB  conda-forge
dlpack-0.3                 |       he1b5a44_1          13 KB  conda-forge
double-conversion-3.1.5    |       he1b5a44_2          85 KB  conda-forge
expat-2.2.9                |       he1b5a44_2         191 KB  conda-forge
fastavro-1.0.0.post1       |   py36h8c4c3a4_0         395 KB  conda-forge
fastrlock-0.5              |   py36h831f99a_0          31 KB  conda-forge
fontconfig-2.13.1          |    h86ecdb6_1001         340 KB  conda-forge
freetype-2.10.2            |       he06d7ca_0         905 KB  conda-forge
freexl-1.0.5               |    h516909a_1002          46 KB  conda-forge
fsspec-0.8.2               |             py_0          63 KB  conda-forge
gcsfs-0.7.1                |             py_0          22 KB  conda-forge
gdal-3.0.4                 |  py36hd60729c_10         1.3 MB  conda-forge
geos-3.8.1                 |       he1b5a44_0         1.0 MB  conda-forge
geotiff-1.6.0              |       h05acad5_0         280 KB  conda-forge
gflags-2.2.2               |    he1b5a44_1004         114 KB  conda-forge
giflib-5.2.1               |       h516909a_2          80 KB  conda-forge
glib-2.65.0                |       h3eb4bd4_0         2.9 MB
glog-0.4.0                 |       h49b9bf7_3         104 KB  conda-forge
google-auth-1.21.2         |             py_0          56 KB  conda-forge
google-auth-oauthlib-0.4.1 |             py_2          18 KB  conda-forge
grpc-cpp-1.23.0            |       h18db393_0         4.5 MB  conda-forge
hdf4-4.2.13                |    hf30be14_1003         964 KB  conda-forge
hdf5-1.10.6                |nompi_h3c11f04_101         3.0 MB  conda-forge
heapdict-1.0.1             |             py_0           7 KB  conda-forge
icu-64.2                   |       he1b5a44_1        12.6 MB  conda-forge
idna_ssl-1.1.0             |        py36_1000           6 KB  conda-forge
immutables-0.14            |   py36h8c4c3a4_0          68 KB  conda-forge
jinja2-2.11.2              |     pyh9f0ad1d_0          93 KB  conda-forge
joblib-0.16.0              |             py_0         203 KB  conda-forge
jpeg-9d                    |       h516909a_0         266 KB  conda-forge
json-c-0.13.1              |    hbfbb72e_1002          76 KB  conda-forge
kealib-1.4.13              |       h33137a7_1         172 KB  conda-forge
krb5-1.17.1                |       hfafb76e_3         1.5 MB  conda-forge
lcms2-2.11                 |       hbd6801e_0         431 KB  conda-forge
libblas-3.8.0              |      17_openblas          11 KB  conda-forge
libcblas-3.8.0             |      17_openblas          11 KB  conda-forge
libcudf-0.14.0             |       cuda10.1_0       101.5 MB  rapidsai/label/main
libcugraph-0.14.0          |       cuda10.1_0        14.3 MB  rapidsai/label/main
libcuml-0.14.0             |       cuda10.1_0        42.4 MB  rapidsai/label/main
libcumlprims-0.14.1        |       cuda10.1_0         6.0 MB  nvidia
libcurl-7.71.1             |       hcdd3856_6         312 KB  conda-forge
libcuspatial-0.14.0        |       cuda10.1_0         3.4 MB  rapidsai/label/main
libdap4-3.20.6             |       h1d1bd15_1         7.9 MB  conda-forge
libedit-3.1.20191231       |       he28a2e2_2         121 KB  conda-forge
libev-4.33                 |       h516909a_1         104 KB  conda-forge
libevent-2.1.10            |       hcdb4288_2         1.1 MB  conda-forge
libgdal-3.0.4              |      he6a97d6_10        18.8 MB  conda-forge
libgfortran-ng-7.5.0       |      hdf63c60_16         1.3 MB  conda-forge
libhwloc-2.1.0             |       h3c4fd83_0         2.7 MB  conda-forge
libiconv-1.16              |       h516909a_0         1.4 MB  conda-forge
libkml-1.3.0               |    h4fcabce_1010         643 KB  conda-forge
liblapack-3.8.0            |      17_openblas          11 KB  conda-forge
libllvm9-9.0.1             |       he513fc3_1        25.1 MB  conda-forge
libnetcdf-4.7.4            |nompi_h84807e1_105         1.3 MB  conda-forge
libnghttp2-1.41.0          |       h8cfc5f6_2         774 KB  conda-forge
libnvstrings-0.14.0        |       cuda10.1_0        30.1 MB  rapidsai/label/main
libopenblas-0.3.10         |pthreads_hb3c22a3_4         7.8 MB  conda-forge
libpng-1.6.37              |       hed695b0_2         359 KB  conda-forge
libpq-12.3                 |       h5513abc_0         2.6 MB  conda-forge
libprotobuf-3.8.0          |       h8b12597_0         4.7 MB  conda-forge
librmm-0.14.0              |       cuda10.1_0         189 KB  rapidsai/label/main
libspatialite-4.3.0a       |    h2482549_1038         3.1 MB  conda-forge
libssh2-1.9.0              |       hab1572f_5         225 KB  conda-forge
libtiff-4.1.0              |       hc7e4089_6         668 KB  conda-forge
libuuid-2.32.1             |    h14c3975_1000          26 KB  conda-forge
libwebp-base-1.1.0         |       h516909a_3         845 KB  conda-forge
libxcb-1.13                |    h14c3975_1002         396 KB  conda-forge
libxgboost-1.1.0dev.rapidsai0.14|       cuda10.1_0        31.1 MB  rapidsai/label/main
libxml2-2.9.10             |       hee79883_0         1.3 MB  conda-forge
llvmlite-0.33.0            |   py36hfa65bc7_1         329 KB  conda-forge
locket-0.2.0               |             py_2           6 KB  conda-forge
lz4-c-1.8.3                |    he1b5a44_1001         187 KB  conda-forge
markupsafe-1.1.1           |   py36h8c4c3a4_1          26 KB  conda-forge
msgpack-python-1.0.0       |   py36hdb11119_1          91 KB  conda-forge
multidict-4.7.5            |   py36h8c4c3a4_1          69 KB  conda-forge
nccl-2.5.7.1               |       h51cf6c1_0        98.4 MB  conda-forge
numba-0.50.1               |   py36h0573a6f_1         3.1 MB
numpy-1.19.1               |   py36h3849536_2         5.2 MB  conda-forge
nvstrings-0.14.0           |           py36_0         129 KB  rapidsai/label/main
oauthlib-3.0.1             |             py_0          82 KB  conda-forge
olefile-0.46               |             py_0          31 KB  conda-forge
openjpeg-2.3.1             |       h981e76c_3         475 KB  conda-forge
packaging-20.4             |     pyh9f0ad1d_0          32 KB  conda-forge
pandas-0.25.3              |   py36hb3f55d8_0        11.4 MB  conda-forge
parquet-cpp-1.5.1          |                2           3 KB  conda-forge
partd-1.1.0                |             py_0          17 KB  conda-forge
pcre-8.44                  |       he1b5a44_0         261 KB  conda-forge
pillow-7.2.0               |   py36h8328e55_1         670 KB  conda-forge
pixman-0.38.0              |    h516909a_1003         594 KB  conda-forge
poppler-0.87.0             |       h4190859_1        12.9 MB  conda-forge
poppler-data-0.4.9         |                1         3.4 MB  conda-forge
postgresql-12.3            |       h8573dbc_0         5.0 MB  conda-forge
proj-7.0.0                 |       h966b41f_5         3.7 MB  conda-forge
psutil-5.7.2               |   py36h8c4c3a4_0         336 KB  conda-forge
pthread-stubs-0.4          |    h14c3975_1001           5 KB  conda-forge
py-xgboost-1.1.0dev.rapidsai0.14|   cuda10.1py36_0         106 KB  rapidsai/label/main
pyarrow-0.15.0             |   py36h8b68381_1         3.2 MB  conda-forge
pyasn1-0.4.8               |             py_0          53 KB  conda-forge
pyasn1-modules-0.2.7       |             py_0          60 KB  conda-forge
pyjwt-1.7.1                |             py_0          17 KB  conda-forge
pynvml-8.0.4               |             py_1          31 KB  conda-forge
pyparsing-2.4.7            |     pyh9f0ad1d_0          60 KB  conda-forge
python-dateutil-2.8.1      |             py_0         220 KB  conda-forge
pytz-2020.1                |     pyh9f0ad1d_0         227 KB  conda-forge
pyyaml-5.3.1               |   py36h8c4c3a4_0         186 KB  conda-forge
re2-2020.04.01             |       he1b5a44_0         438 KB  conda-forge
requests-oauthlib-1.3.0    |     pyh9f0ad1d_0          21 KB  conda-forge
rmm-0.14.0                 |           py36_0         684 KB  rapidsai/label/main
rsa-4.6                    |     pyh9f0ad1d_0          27 KB  conda-forge
scikit-learn-0.23.2        |   py36hfb379a7_0         6.8 MB  conda-forge
scipy-1.4.1                |   py36h2d22cac_3        18.9 MB  conda-forge
snappy-1.1.8               |       he1b5a44_3          32 KB  conda-forge
sortedcontainers-2.2.2     |     pyh9f0ad1d_0          25 KB  conda-forge
spdlog-1.8.0               |       hc9558a2_0         316 KB  conda-forge
tbb-2018.0.5               |       h2d50403_0         1.1 MB  conda-forge
tblib-1.6.0                |             py_0          14 KB  conda-forge
threadpoolctl-2.1.0        |     pyh5ca1d4c_0          15 KB  conda-forge
thrift-cpp-0.12.0          |    hf3afdfd_1004         2.4 MB  conda-forge
tiledb-1.7.7               |       hcde45ca_0         2.0 MB  conda-forge
toolz-0.10.0               |             py_0          46 KB  conda-forge
tornado-6.0.4              |   py36h8c4c3a4_1         639 KB  conda-forge
typing_extensions-3.7.4.2  |             py_0          25 KB  conda-forge
tzcode-2020a               |       h516909a_0         425 KB  conda-forge
ucx-1.8.0+gf6ec8d4         |      cuda10.1_20         8.9 MB  rapidsai/label/main
ucx-py-0.14.0+gf6ec8d4     |           py36_0         137 KB  rapidsai/label/main
uriparser-0.9.3            |       he1b5a44_1          49 KB  conda-forge
xerces-c-3.2.2             |    h8412b87_1004         1.7 MB  conda-forge
xgboost-1.1.0dev.rapidsai0.14|   cuda10.1py36_0          12 KB  rapidsai/label/main
xorg-kbproto-1.0.7         |    h14c3975_1002          26 KB  conda-forge
xorg-libice-1.0.10         |       h516909a_0          57 KB  conda-forge
xorg-libsm-1.2.3           |    h84519dc_1000          25 KB  conda-forge
xorg-libx11-1.6.12         |       h516909a_0         917 KB  conda-forge
xorg-libxau-1.0.9          |       h14c3975_0          13 KB  conda-forge
xorg-libxdmcp-1.1.3        |       h516909a_0          18 KB  conda-forge
xorg-libxext-1.3.4         |       h516909a_0          51 KB  conda-forge
xorg-libxrender-0.9.10     |    h516909a_1002          31 KB  conda-forge
xorg-renderproto-0.11.1    |    h14c3975_1002           8 KB  conda-forge
xorg-xextproto-7.3.0       |    h14c3975_1002          27 KB  conda-forge
xorg-xproto-7.0.31         |    h14c3975_1007          72 KB  conda-forge
yarl-1.4.2                 |   py36h516909a_0         135 KB  conda-forge
zict-2.0.0                 |             py_0          10 KB  conda-forge
zstd-1.4.4                 |       h3b9ef0a_2         982 KB  conda-forge
------------------------------------------------------------
                                       Total:        1.38 GB

The following NEW packages will be INSTALLED:

aiohttp conda-forge/linux-64::aiohttp-3.6.2-py36h516909a_0
arrow-cpp conda-forge/linux-64::arrow-cpp-0.15.0-py36h090bef1_2
async-timeout conda-forge/noarch::async-timeout-3.0.1-py_1000
attrs conda-forge/noarch::attrs-20.2.0-pyh9f0ad1d_0
blinker conda-forge/noarch::blinker-1.4-py_1
bokeh conda-forge/linux-64::bokeh-2.2.1-py36h9f0ad1d_0
boost conda-forge/linux-64::boost-1.70.0-py36h9de70de_1
boost-cpp conda-forge/linux-64::boost-cpp-1.70.0-h8e57a91_2
brotli conda-forge/linux-64::brotli-1.0.9-he1b5a44_0
bzip2 conda-forge/linux-64::bzip2-1.0.8-h516909a_3
c-ares conda-forge/linux-64::c-ares-1.16.1-h516909a_3
cachetools conda-forge/noarch::cachetools-4.1.1-py_0
cairo conda-forge/linux-64::cairo-1.16.0-hcf35c78_1003
cfitsio conda-forge/linux-64::cfitsio-3.470-hce51eda_6
click conda-forge/noarch::click-7.1.2-pyh9f0ad1d_0
cloudpickle conda-forge/noarch::cloudpickle-1.6.0-py_0
contextvars conda-forge/noarch::contextvars-2.4-py_0
cudatoolkit nvidia/linux-64::cudatoolkit-10.1.243-h6bb024c_0
cudf rapidsai/label/main/linux-64::cudf-0.14.0-py36_0
cudnn nvidia/linux-64::cudnn-7.6.0-cuda10.1_0
cugraph rapidsai/label/main/linux-64::cugraph-0.14.0-py36_0
cuml rapidsai/label/main/linux-64::cuml-0.14.0-cuda10.1_py36_0
cupy conda-forge/linux-64::cupy-7.8.0-py36h5c369b2_1
curl conda-forge/linux-64::curl-7.71.1-he644dc0_6
cusignal rapidsai/label/main/noarch::cusignal-0.14.1-py36_0
cuspatial rapidsai/label/main/linux-64::cuspatial-0.14.0-py36_0
cytoolz conda-forge/linux-64::cytoolz-0.10.1-py36h516909a_0
dask conda-forge/noarch::dask-2.26.0-py_0
dask-core conda-forge/noarch::dask-core-2.26.0-py_0
dask-cudf rapidsai/label/main/linux-64::dask-cudf-0.14.0-py36_0
distributed conda-forge/linux-64::distributed-2.26.0-py36h9f0ad1d_0
dlpack conda-forge/linux-64::dlpack-0.3-he1b5a44_1
double-conversion conda-forge/linux-64::double-conversion-3.1.5-he1b5a44_2
expat conda-forge/linux-64::expat-2.2.9-he1b5a44_2
fastavro conda-forge/linux-64::fastavro-1.0.0.post1-py36h8c4c3a4_0
fastrlock conda-forge/linux-64::fastrlock-0.5-py36h831f99a_0
fontconfig conda-forge/linux-64::fontconfig-2.13.1-h86ecdb6_1001
freetype conda-forge/linux-64::freetype-2.10.2-he06d7ca_0
freexl conda-forge/linux-64::freexl-1.0.5-h516909a_1002
fsspec conda-forge/noarch::fsspec-0.8.2-py_0
gcsfs conda-forge/noarch::gcsfs-0.7.1-py_0
gdal conda-forge/linux-64::gdal-3.0.4-py36hd60729c_10
geos conda-forge/linux-64::geos-3.8.1-he1b5a44_0
geotiff conda-forge/linux-64::geotiff-1.6.0-h05acad5_0
gflags conda-forge/linux-64::gflags-2.2.2-he1b5a44_1004
giflib conda-forge/linux-64::giflib-5.2.1-h516909a_2
glib pkgs/main/linux-64::glib-2.65.0-h3eb4bd4_0
glog conda-forge/linux-64::glog-0.4.0-h49b9bf7_3
google-auth conda-forge/noarch::google-auth-1.21.2-py_0
google-auth-oauth~ conda-forge/noarch::google-auth-oauthlib-0.4.1-py_2
grpc-cpp conda-forge/linux-64::grpc-cpp-1.23.0-h18db393_0
hdf4 conda-forge/linux-64::hdf4-4.2.13-hf30be14_1003
hdf5 conda-forge/linux-64::hdf5-1.10.6-nompi_h3c11f04_101
heapdict conda-forge/noarch::heapdict-1.0.1-py_0
icu conda-forge/linux-64::icu-64.2-he1b5a44_1
idna_ssl conda-forge/linux-64::idna_ssl-1.1.0-py36_1000
immutables conda-forge/linux-64::immutables-0.14-py36h8c4c3a4_0
jinja2 conda-forge/noarch::jinja2-2.11.2-pyh9f0ad1d_0
joblib conda-forge/noarch::joblib-0.16.0-py_0
jpeg conda-forge/linux-64::jpeg-9d-h516909a_0
json-c conda-forge/linux-64::json-c-0.13.1-hbfbb72e_1002
kealib conda-forge/linux-64::kealib-1.4.13-h33137a7_1
krb5 conda-forge/linux-64::krb5-1.17.1-hfafb76e_3
lcms2 conda-forge/linux-64::lcms2-2.11-hbd6801e_0
libblas conda-forge/linux-64::libblas-3.8.0-17_openblas
libcblas conda-forge/linux-64::libcblas-3.8.0-17_openblas
libcudf rapidsai/label/main/linux-64::libcudf-0.14.0-cuda10.1_0
libcugraph rapidsai/label/main/linux-64::libcugraph-0.14.0-cuda10.1_0
libcuml rapidsai/label/main/linux-64::libcuml-0.14.0-cuda10.1_0
libcumlprims nvidia/linux-64::libcumlprims-0.14.1-cuda10.1_0
libcurl conda-forge/linux-64::libcurl-7.71.1-hcdd3856_6
libcuspatial rapidsai/label/main/linux-64::libcuspatial-0.14.0-cuda10.1_0
libdap4 conda-forge/linux-64::libdap4-3.20.6-h1d1bd15_1
libedit conda-forge/linux-64::libedit-3.1.20191231-he28a2e2_2
libev conda-forge/linux-64::libev-4.33-h516909a_1
libevent conda-forge/linux-64::libevent-2.1.10-hcdb4288_2
libgdal conda-forge/linux-64::libgdal-3.0.4-he6a97d6_10
libgfortran-ng conda-forge/linux-64::libgfortran-ng-7.5.0-hdf63c60_16
libhwloc conda-forge/linux-64::libhwloc-2.1.0-h3c4fd83_0
libiconv conda-forge/linux-64::libiconv-1.16-h516909a_0
libkml conda-forge/linux-64::libkml-1.3.0-h4fcabce_1010
liblapack conda-forge/linux-64::liblapack-3.8.0-17_openblas
libllvm9 conda-forge/linux-64::libllvm9-9.0.1-he513fc3_1
libnetcdf conda-forge/linux-64::libnetcdf-4.7.4-nompi_h84807e1_105
libnghttp2 conda-forge/linux-64::libnghttp2-1.41.0-h8cfc5f6_2
libnvstrings rapidsai/label/main/linux-64::libnvstrings-0.14.0-cuda10.1_0
libopenblas conda-forge/linux-64::libopenblas-0.3.10-pthreads_hb3c22a3_4
libpng conda-forge/linux-64::libpng-1.6.37-hed695b0_2
libpq conda-forge/linux-64::libpq-12.3-h5513abc_0
libprotobuf conda-forge/linux-64::libprotobuf-3.8.0-h8b12597_0
librmm rapidsai/label/main/linux-64::librmm-0.14.0-cuda10.1_0
libspatialite conda-forge/linux-64::libspatialite-4.3.0a-h2482549_1038
libssh2 conda-forge/linux-64::libssh2-1.9.0-hab1572f_5
libtiff conda-forge/linux-64::libtiff-4.1.0-hc7e4089_6
libuuid conda-forge/linux-64::libuuid-2.32.1-h14c3975_1000
libwebp-base conda-forge/linux-64::libwebp-base-1.1.0-h516909a_3
libxcb conda-forge/linux-64::libxcb-1.13-h14c3975_1002
libxgboost rapidsai/label/main/linux-64::libxgboost-1.1.0dev.rapidsai0.14-cuda10.1_0
libxml2 conda-forge/linux-64::libxml2-2.9.10-hee79883_0
llvmlite conda-forge/linux-64::llvmlite-0.33.0-py36hfa65bc7_1
locket conda-forge/noarch::locket-0.2.0-py_2
lz4-c conda-forge/linux-64::lz4-c-1.8.3-he1b5a44_1001
markupsafe conda-forge/linux-64::markupsafe-1.1.1-py36h8c4c3a4_1
msgpack-python conda-forge/linux-64::msgpack-python-1.0.0-py36hdb11119_1
multidict conda-forge/linux-64::multidict-4.7.5-py36h8c4c3a4_1
nccl conda-forge/linux-64::nccl-2.5.7.1-h51cf6c1_0
numba pkgs/main/linux-64::numba-0.50.1-py36h0573a6f_1
numpy conda-forge/linux-64::numpy-1.19.1-py36h3849536_2
nvstrings rapidsai/label/main/linux-64::nvstrings-0.14.0-py36_0
oauthlib conda-forge/noarch::oauthlib-3.0.1-py_0
olefile conda-forge/noarch::olefile-0.46-py_0
openjpeg conda-forge/linux-64::openjpeg-2.3.1-h981e76c_3
packaging conda-forge/noarch::packaging-20.4-pyh9f0ad1d_0
pandas conda-forge/linux-64::pandas-0.25.3-py36hb3f55d8_0
parquet-cpp conda-forge/noarch::parquet-cpp-1.5.1-2
partd conda-forge/noarch::partd-1.1.0-py_0
pcre conda-forge/linux-64::pcre-8.44-he1b5a44_0
pillow conda-forge/linux-64::pillow-7.2.0-py36h8328e55_1
pixman conda-forge/linux-64::pixman-0.38.0-h516909a_1003
poppler conda-forge/linux-64::poppler-0.87.0-h4190859_1
poppler-data conda-forge/noarch::poppler-data-0.4.9-1
postgresql conda-forge/linux-64::postgresql-12.3-h8573dbc_0
proj conda-forge/linux-64::proj-7.0.0-h966b41f_5
psutil conda-forge/linux-64::psutil-5.7.2-py36h8c4c3a4_0
pthread-stubs conda-forge/linux-64::pthread-stubs-0.4-h14c3975_1001
py-xgboost rapidsai/label/main/linux-64::py-xgboost-1.1.0dev.rapidsai0.14-cuda10.1py36_0
pyarrow conda-forge/linux-64::pyarrow-0.15.0-py36h8b68381_1
pyasn1 conda-forge/noarch::pyasn1-0.4.8-py_0
pyasn1-modules conda-forge/noarch::pyasn1-modules-0.2.7-py_0
pyjwt conda-forge/noarch::pyjwt-1.7.1-py_0
pynvml conda-forge/noarch::pynvml-8.0.4-py_1
pyparsing conda-forge/noarch::pyparsing-2.4.7-pyh9f0ad1d_0
python-dateutil conda-forge/noarch::python-dateutil-2.8.1-py_0
pytz conda-forge/noarch::pytz-2020.1-pyh9f0ad1d_0
pyyaml conda-forge/linux-64::pyyaml-5.3.1-py36h8c4c3a4_0
re2 conda-forge/linux-64::re2-2020.04.01-he1b5a44_0
requests-oauthlib conda-forge/noarch::requests-oauthlib-1.3.0-pyh9f0ad1d_0
rmm rapidsai/label/main/linux-64::rmm-0.14.0-py36_0
rsa conda-forge/noarch::rsa-4.6-pyh9f0ad1d_0
scikit-learn conda-forge/linux-64::scikit-learn-0.23.2-py36hfb379a7_0
scipy conda-forge/linux-64::scipy-1.4.1-py36h2d22cac_3
snappy conda-forge/linux-64::snappy-1.1.8-he1b5a44_3
sortedcontainers conda-forge/noarch::sortedcontainers-2.2.2-pyh9f0ad1d_0
spdlog conda-forge/linux-64::spdlog-1.8.0-hc9558a2_0
tbb conda-forge/linux-64::tbb-2018.0.5-h2d50403_0
tblib conda-forge/noarch::tblib-1.6.0-py_0
threadpoolctl conda-forge/noarch::threadpoolctl-2.1.0-pyh5ca1d4c_0
thrift-cpp conda-forge/linux-64::thrift-cpp-0.12.0-hf3afdfd_1004
tiledb conda-forge/linux-64::tiledb-1.7.7-hcde45ca_0
toolz conda-forge/noarch::toolz-0.10.0-py_0
tornado conda-forge/linux-64::tornado-6.0.4-py36h8c4c3a4_1
typing_extensions conda-forge/noarch::typing_extensions-3.7.4.2-py_0
tzcode conda-forge/linux-64::tzcode-2020a-h516909a_0
ucx rapidsai/label/main/linux-64::ucx-1.8.0+gf6ec8d4-cuda10.1_20
ucx-py rapidsai/label/main/linux-64::ucx-py-0.14.0+gf6ec8d4-py36_0
uriparser conda-forge/linux-64::uriparser-0.9.3-he1b5a44_1
xerces-c conda-forge/linux-64::xerces-c-3.2.2-h8412b87_1004
xgboost rapidsai/label/main/linux-64::xgboost-1.1.0dev.rapidsai0.14-cuda10.1py36_0
xorg-kbproto conda-forge/linux-64::xorg-kbproto-1.0.7-h14c3975_1002
xorg-libice conda-forge/linux-64::xorg-libice-1.0.10-h516909a_0
xorg-libsm conda-forge/linux-64::xorg-libsm-1.2.3-h84519dc_1000
xorg-libx11 conda-forge/linux-64::xorg-libx11-1.6.12-h516909a_0
xorg-libxau conda-forge/linux-64::xorg-libxau-1.0.9-h14c3975_0
xorg-libxdmcp conda-forge/linux-64::xorg-libxdmcp-1.1.3-h516909a_0
xorg-libxext conda-forge/linux-64::xorg-libxext-1.3.4-h516909a_0
xorg-libxrender conda-forge/linux-64::xorg-libxrender-0.9.10-h516909a_1002
xorg-renderproto conda-forge/linux-64::xorg-renderproto-0.11.1-h14c3975_1002
xorg-xextproto conda-forge/linux-64::xorg-xextproto-7.3.0-h14c3975_1002
xorg-xproto conda-forge/linux-64::xorg-xproto-7.0.31-h14c3975_1007
yarl conda-forge/linux-64::yarl-1.4.2-py36h516909a_0
zict conda-forge/noarch::zict-2.0.0-py_0
zstd conda-forge/linux-64::zstd-1.4.4-h3b9ef0a_2

Downloading and Extracting Packages
xorg-libxdmcp-1.1.3 | 18 KB | : 100% 1.0/1 [00:00<00:00, 12.92it/s]
libpng-1.6.37 | 359 KB | : 100% 1.0/1 [00:00<00:00, 9.66it/s]
librmm-0.14.0 | 189 KB | : 100% 1.0/1 [00:01<00:00, 1.30s/it]
tblib-1.6.0 | 14 KB | : 100% 1.0/1 [00:00<00:00, 33.15it/s]
scikit-learn-0.23.2 | 6.8 MB | : 100% 1.0/1 [00:01<00:00, 1.41s/it]
hdf5-1.10.6 | 3.0 MB | : 100% 1.0/1 [00:00<00:00, 2.07it/s]
libprotobuf-3.8.0 | 4.7 MB | : 100% 1.0/1 [00:00<00:00, 1.01it/s]
rmm-0.14.0 | 684 KB | : 100% 1.0/1 [00:00<00:00, 1.09it/s]
blinker-1.4 | 13 KB | : 100% 1.0/1 [00:00<00:00, 13.30it/s]
libllvm9-9.0.1 | 25.1 MB | : 100% 1.0/1 [00:04<00:00, 4.31s/it]
tornado-6.0.4 | 639 KB | : 100% 1.0/1 [00:00<00:00, 6.04it/s]
cupy-7.8.0 | 20.6 MB | : 100% 1.0/1 [00:03<00:00, 3.22s/it]
cudnn-7.6.0 | 240.9 MB | : 100% 1.0/1 [00:32<00:00, 32.40s/it]
icu-64.2 | 12.6 MB | : 100% 1.0/1 [00:01<00:00, 1.97s/it]
ucx-py-0.14.0+gf6ec8 | 137 KB | : 100% 1.0/1 [00:01<00:00, 1.20s/it]
oauthlib-3.0.1 | 82 KB | : 100% 1.0/1 [00:00<00:00, 19.27it/s]
c-ares-1.16.1 | 107 KB | : 100% 1.0/1 [00:00<00:00, 20.30it/s]
bzip2-1.0.8 | 398 KB | : 100% 1.0/1 [00:00<00:00, 9.68it/s]
json-c-0.13.1 | 76 KB | : 100% 1.0/1 [00:00<00:00, 19.21it/s]
krb5-1.17.1 | 1.5 MB | : 100% 1.0/1 [00:00<00:00, 3.54it/s]
yarl-1.4.2 | 135 KB | : 100% 1.0/1 [00:00<00:00, 16.94it/s]
libevent-2.1.10 | 1.1 MB | : 100% 1.0/1 [00:00<00:00, 3.54it/s]
libhwloc-2.1.0 | 2.7 MB | : 100% 1.0/1 [00:00<00:00, 2.66it/s]
attrs-20.2.0 | 41 KB | : 100% 1.0/1 [00:00<00:00, 22.98it/s]
jinja2-2.11.2 | 93 KB | : 100% 1.0/1 [00:00<00:00, 18.65it/s]
pyasn1-modules-0.2.7 | 60 KB | : 100% 1.0/1 [00:00<00:00, 18.99it/s]
toolz-0.10.0 | 46 KB | : 100% 1.0/1 [00:00<00:00, 24.29it/s]
libuuid-2.32.1 | 26 KB | : 100% 1.0/1 [00:00<00:00, 33.77it/s]
pytz-2020.1 | 227 KB | : 100% 1.0/1 [00:00<00:00, 8.79it/s]
cairo-1.16.0 | 1.5 MB | : 100% 1.0/1 [00:00<00:00, 3.05it/s]
pandas-0.25.3 | 11.4 MB | : 100% 1.0/1 [00:02<00:00, 2.32s/it]
partd-1.1.0 | 17 KB | : 100% 1.0/1 [00:00<00:00, 34.66it/s]
re2-2020.04.01 | 438 KB | : 100% 1.0/1 [00:00<00:00, 9.51it/s]
xorg-libxext-1.3.4 | 51 KB | : 100% 1.0/1 [00:00<00:00, 28.05it/s]
poppler-0.87.0 | 12.9 MB | : 100% 1.0/1 [00:02<00:00, 2.12s/it]
msgpack-python-1.0.0 | 91 KB | : 100% 1.0/1 [00:00<00:00, 19.96it/s]
dask-core-2.26.0 | 636 KB | : 100% 1.0/1 [00:00<00:00, 5.28it/s]
requests-oauthlib-1. | 21 KB | : 100% 1.0/1 [00:00<00:00, 33.33it/s]
numpy-1.19.1 | 5.2 MB | : 100% 1.0/1 [00:01<00:00, 1.08s/it]
xorg-libice-1.0.10 | 57 KB | : 100% 1.0/1 [00:00<00:00, 23.37it/s]
distributed-2.26.0 | 1.0 MB | : 100% 1.0/1 [00:00<00:00, 3.26it/s]
xorg-libx11-1.6.12 | 917 KB | : 100% 1.0/1 [00:00<00:00, 5.28it/s]
boost-cpp-1.70.0 | 21.1 MB | : 100% 1.0/1 [00:06<00:00, 6.71s/it]
libgfortran-ng-7.5.0 | 1.3 MB | : 100% 1.0/1 [00:00<00:00, 3.66it/s]
xorg-libxrender-0.9. | 31 KB | : 100% 1.0/1 [00:00<00:00, 25.99it/s]
pthread-stubs-0.4 | 5 KB | : 100% 1.0/1 [00:00<00:00, 35.93it/s]
pyparsing-2.4.7 | 60 KB | : 100% 1.0/1 [00:00<00:00, 24.14it/s]
fastavro-1.0.0.post1 | 395 KB | : 100% 1.0/1 [00:00<00:00, 9.51it/s]
xorg-libsm-1.2.3 | 25 KB | : 100% 1.0/1 [00:00<00:00, 24.19it/s]
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Preparing transaction: done
Verifying transaction: done
Executing transaction: done
Copying shared object files to /usr/lib
Copying RAPIDS compatible xgboost

Your Google Colab instance has RAPIDS installed!

Let us check on those pyarrow and cffi versions...

You're don't have pyarrow.
unloaded cffi 1.14.2
loaded cffi 1.11.5

Is your feature request related to a problem? Please describe.
Hi!
I have just noticed that install instructions for NGC containers are missing at rapids.ai homepage:
I think we might promote NGC by adding NGC install instructions too.
Describe the solution you'd like
Docker pull instructions referring to NGC container registry.

Describe alternatives you've considered
None.

Additional context
https://rapids.ai/start.html#get-rapids

https://docs.rapids.ai/maintainers

We should add a custom Jekyll filter/plugin that automatically calculates the duration shown on the page above.

We could potentially use this library: https://github.com/gocardless/business

This will make one less thing that we have to manually enter into releases.json.

What is your question?
Is blazingsql no longer part of RAPIDS ?

The previous getting started page release selector used to install blazingsql when installing all packages.
The current one seems to install dask-sql but it does not install blazingsql.
This means blazingsql is no longer supported or a part of RAPIDS ?

Report incorrect documentation

Location of incorrect documentation
https://docs.rapids.ai/datasets/mortgage-data

Describe the problems or issues found in the documentation
The docs state that the notebooks in the Docker image work with the Fannie Mae mortgage datasets, but they don't.

Steps taken to verify documentation is incorrect
List any steps you have taken:

• pulled and run Docker image rapidsai/rapidsai
• accessed notebooks in Jupyerlab through localport 8888
• gone through all of the notebooks and found none using the Fannie Mae mortgage datasets listed on the page linked at the top of this issue (note: 1 cuxfilter notebook does use mortgage data, but that is not one of the datasets listed on the linked page and does not help me understand how to properly import the data)

Suggested fix for documentation

• update docs to correct
• ideally: include notebooks in Docker image that do use the Fannie Mae datasets

Within the documentation there are several broken links leading to 404 errors:

Affected website: https://docs.rapids.ai/rapids-demo

All of the URLs showcased below are faulty:

Current version:

Former version:

Report incorrect documentation

The GDF cheatsheet seems outdated.

There are many functionalities which are already implemented, and still appear as planned for future release.

A few examples can be found in subset observations section, where df.head, df.tail, df.iloc method still appear as planned for future release.

Nevertheless, a full review of this document should be performed.

Location of incorrect documentation
https://rapids.ai/assets/files/cheatsheet.pdf

Describe the problems or issues found in the documentation
Outdated document

Report needed documentation

Report needed documentation
We have great docs for Dask Cuda that is not linked to at all in our standard docs. We should link it, somewhere, in our docs.rapids.ai/api.

A suggestion was in the cudf Content Section (thanks @Salonijain27 ) or part of a Content Section that includes ways of doing larger than GPU memory operations.

This doc has some of some information and guidance not found anywhere else in the cudf docs. This would be also helpful doing single GPU, larger than GU workloads.

@aravenel @Salonijain27 @randerzander @exactlyallan @beckernick @mike-wendt @pentschev for discussion

Due to the use of frames its difficult to get URLs for particular pages. This is important when pointing people to particular documentation pages.

Report incorrect documentation

Location of incorrect documentation
https://docs.rapids.ai/api/cuml/nightly/

Describe the problems or issues found in the documentation
I was looking for a way to create a training set without going to pandas in the docs. Someone had to mention it. It's brand new though.

Steps taken to verify documentation is incorrect
Docs search function can't find it in there, nor can ctrl+F

Suggested fix for documentation
please add docs on how to use Train_Test_Split function https://github.com/rapidsai/cuml/blob/52f1602d7800f0135b9e83d3001d11bbc3e2374f/python/cuml/preprocessing/model_selection.py.

Report incorrect documentation

Location of incorrect documentation
Docker Image tags for install didn't have RAPIDS version. Also, directory structure section had incorrect labels.

Suggested fix for documentation
PR #191 has the fixes. Please merge. Thanks @Salonijain27 and @Nicholas-7

I need to append two dataframes (say, df1 and df2) with the same columns except that one of the dataframes (df2) has an extra column of the type 'list'.
If I run df1.append(df2) I get a Runtime error.

RuntimeError: cuDF failure at: /opt/conda/envs/rapids/conda-bld/libcudf_1615843445425/work/cpp/src/copying/concatenate.cu:360: 
Type mismatch in columns to concatenate.

To Reproduce

df1 = pd.DataFrame.from_dict({
    'A': {
        0: 8.74,
        1: 8.78
    },
    'B': {
        0: 18452.0,
        1: 19064.0
    },
    'C': {
        0: np.array([1, 2], dtype=object),
        1: np.array([2, 3], dtype=object)
    }
})
df2 = pd.DataFrame.from_dict({
    'A': {
        2: 8.77,
        3: 8.75
    },
    'B': {
        2: 19165.0,
        3: 20491.0
    }
})
df1 = cudf.from_pandas(df1)
df2 = cudf.from_pandas(df2)
print(df1.dtypes)
df1.append(df2)

Output

A    float64
B    float64
C       list
dtype: object
---------------------------------------------------------------------------
RuntimeError                              Traceback (most recent call last)
<ipython-input-138-94f26cb13e37> in <module>
     26 df2 = cudf.from_pandas(df2)
     27 print(df1.dtypes)
---> 28 df1.append(df2)

/opt/conda/envs/rapids/lib/python3.8/site-packages/cudf/core/dataframe.py in append(self, other, ignore_index, verify_integrity, sort)
   7386             to_concat = [self, other]
   7387 
-> 7388         return cudf.concat(to_concat, ignore_index=ignore_index, sort=sort)
   7389 
   7390     @copy_docstring(reshape.pivot)

/opt/conda/envs/rapids/lib/python3.8/site-packages/cudf/core/reshape.py in concat(objs, axis, join, ignore_index, sort)
    359                 # don't filter out empty df's
    360                 objs = old_objs
--> 361             result = cudf.DataFrame._concat(
    362                 objs,
    363                 axis=axis,

/opt/conda/envs/rapids/lib/python3.8/contextlib.py in inner(*args, **kwds)
     73         def inner(*args, **kwds):
     74             with self._recreate_cm():
---> 75                 return func(*args, **kwds)
     76         return inner
     77 

/opt/conda/envs/rapids/lib/python3.8/site-packages/cudf/core/frame.py in _concat(cls, objs, axis, join, ignore_index, sort)
    451         # Concatenate the Tables
    452         out = cls._from_table(
--> 453             libcudf.concat.concat_tables(tables, ignore_index=ignore_index)
    454         )
    455 

cudf/_lib/concat.pyx in cudf._lib.concat.concat_tables()

cudf/_lib/concat.pyx in cudf._lib.concat.concat_tables()

RuntimeError: cuDF failure at: /opt/conda/envs/rapids/conda-bld/libcudf_1615843445425/work/cpp/src/copying/concatenate.cu:360: Type mismatch in columns to concatenate.

Environment

• Docker container from the image rapidsai/rapidsai-core:0.18-cuda11.0-runtime-ubuntu20.04-py3.8.
• CUDF Version: 0.18.1
• Nvidia driver: 450.102.04

Report incorrect documentation

Hi,

I have reached to this page: https://docs.rapids.ai/api/cudf/stable/

Then, I use the dropdown on the top right side of the page to read the 0.5 API. After that, I cannot return to the current version (0.6) without leaving that page.

I think it is missing an element in the dropdown, which links to the latest version.

Finally, there is also a link to nvStrings v0.2 element in the dropdown, which I am not sure if it should be there.

Location of incorrect documentation
Provide links and line numbers if applicable.

Describe the problems or issues found in the documentation
A clear and concise description of what you found to be incorrect.

Steps taken to verify documentation is incorrect
List any steps you have taken:

Suggested fix for documentation
Detail proposed changes to fix the documentation if you have any.

Report needed documentation

Report needed documentation
A clear and concise description of what documentation you believe it is needed and why.

Describe the documentation you'd like
A clear and concise description of what you want to happen.

Steps taken to search for needed documentation
List any steps you have taken:

Firefox and Edge do not allow to download the datasets from the links provided due to a potential security risk.

Report incorrect documentation

Location of incorrect documentation
https://rapids.ai/start.html

Describe the problems or issues found in the documentation

The line:

docker run --runtime=nvidia --rm -it -p 8888:8888 -p 8787:8787 -p 8786:8786 \
rapidsai/rapidsai:0.8-cuda10.0-runtime-ubuntu18.04-gcc7-py3.7

Uses the --runtime=nvidia flag which is for the deprecated nvidia-docker2 package and raises an Unkown runtime error if you are instead using the nvidia-container-toolkit (https://github.com/NVIDIA/nvidia-docker).

Steps taken to verify documentation is incorrect
I ran the command with the flag and it quit with an Unknown runtime error. I downgraded my docker package back to one compatible with nvidia-docker2 (it wouldn't install with my Ubuntu 19.04 version) and installed nvidia-docker2 and it ran without error. Then I removed nvidia-docker2 and reinstalled docker-ce 19.03 and the nvidia-container-toolkit and re-ran the command without the flag and it launched the container without error.

Suggested fix for documentation

Remove the flag but note that users of the nvidia-docker2 package might need to use it if they are using a version of docker prior to 19.03.

Describe the bug

We recently merged two libcudf doc PRs that modify the display of libcudf rendered doxygen docs using custom CSS. The docs look great locally, but on https://rapids.ai the new CSS is lost, because customize_doc.py assumes there is no local CSS and so it doesn't copy the CSS files and it overwrites all CSS html tags in the <head> block.

These are the PRs:
rapidsai/cudf#5349
rapidsai/cudf#5429

Expected behavior
Copy any local CSS and don't overwrite custom CSS tags in the <head>.

Broken Links on: https://docs.rapids.ai/start

• Multi-GPU with Dask-cuDF
• 10 Minutes to cuDF

What is your question?
I'm trying to import the Mortgage Data from your docs (the entire 200GB dataset).
I've managed to download and uncompress it but cannot find the column names anywhere.
Could someone point me in the right direction? 🙏

When I follow the steps on the website to create Docker Rapids environment with additional package e.g. (influx) I am unable to import it to the packages into the

docker run --gpus all --rm -it -p 8888:8888 -p 8787:8787 -p 8786:8786 -e EXTRA_CONDA_PACKAGES="influxdb" rapidsai/rapidsai-dev:21.06-cuda11.2-devel-ubuntu20.04-py3.8

/bin/bash: /opt/conda/envs/rapids/lib/libtinfo.so.6: no version information available (required by /bin/bash)
This container image and its contents are governed by the NVIDIA Deep Learning Container License.
By pulling and using the container, you accept the terms and conditions of this license:
https://developer.download.nvidia.com/licenses/NVIDIA_Deep_Learning_Container_License.pdf

EXTRA_CONDA_PACKAGES environment variable found. Installing packages.
Collecting package metadata (current_repodata.json): done
Solving environment: |
The environment is inconsistent, please check the package plan carefully
The following packages are causing the inconsistency:

• conda-forge/linux-64::libfaiss==1.7.0=cuda112h5bea7ad_8_cuda
• conda-forge/linux-64::cupy==9.1.0=py38ha69542f_0
• rapidsai-nightly/linux-64::ucx==1.9.0+gcd9efd3=cuda11.2_0
• conda-forge/linux-64::nccl==2.9.9.1=hdc17891_0
• rapidsai/linux-64::ucx-py==0.20.0=py38_gcd9efd3_0
• nvidia/linux-64::libcumlprims==21.06.00=cuda11.2_gfda2e6c_0
  done

Package Plan

environment location: /opt/conda/envs/rapids

added / updated specs:
- influxdb

The following packages will be downloaded:

package                    |            build
---------------------------|-----------------
influxdb-5.3.1             |     pyhd3deb0d_0          54 KB  conda-forge
------------------------------------------------------------
                                       Total:          54 KB

The following NEW packages will be INSTALLED:

influxdb conda-forge/noarch::influxdb-5.3.1-pyhd3deb0d_0

Downloading and Extracting Packages
influxdb-5.3.1 | 54 KB | ##################################### | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
A JupyterLab server has been started!
To access it, visit http://localhost:8888 on your host machine.
Ensure the following arguments were added to "docker run" to expose the JupyterLab server to your host machine:
-p 8888:8888 -p 8787:8787 -p 8786:8786
Make local folders visible by bind mounting to /rapids/notebooks/host
/bin/bash: /opt/conda/envs/rapids/lib/libtinfo.so.6: no version information available (required by /bin/bash)

To Reproduce

docker run --gpus all --rm -it -p 8888:8888 -p 8787:8787 -p 8786:8786 -e EXTRA_CONDA_PACKAGES="influxdb" rapidsai/rapidsai-dev:21.06-cuda11.2-devel-ubuntu20.04-py3.8

Expected behavior
one should be able to import the included library

from influxdb_client import InfluxDBClient, Point, WritePrecision

but it throws an exception

Additional context
I am able to run the examples, however it is not possible to include any additional python libraries

I have tried to do the same with conda create outside the docker container but I am still getting the same error in the terminal and pycharm
conda create -n rapids-21.06 -c rapidsai -c nvidia -c conda-forge
rapids-blazing=21.06 python=3.8 cudatoolkit=11.2

Report needed documentation
The new RAPIDS dataset locating utility needs both user and developer documentation. There should be a separate document, as a peer to "testing", to describe it.

Describe the documentation you'd like
Describe how a user can set the dataset location for tests, describe how a developer can use the utility to have their test find the datasets on disk at runtime.

Steps taken to search for needed documentation
New API added that requires both user-facing and developer docs, and I was informed by the doc maintainers that there's currently no documentation for it.

Conflicting custom css with Just the Doc css "hamburger menu"

Report needed documentation

Report needed documentation
Docs about how gpuCI works and how projects should be structured to easily integrate would be useful.

Describe the documentation you'd like

• Outline what gpuCI is
• Describe the build environment
• Describe the CI scripts

Steps taken to search for needed documentation
Doesn't exist

Describe the bug
Throughout the entirety of docs, in many methods, there are no spaces between the variable name and the data type. This is very confusing because the docs' rendering shows users incorrect variable names. this affects cuml, cudf, and other areas of docs in both stable and nightlies - probably others.

Behavior
the docs should read like this:
alpha: float (default = 0.0001)

but instead read like this:
tolfloat (default = 1e-3)

Screenshots
If applicable, add screenshots to help explain your problem.

Desktop (please complete the following information):

• OS: [e.g. Windows for me, but others across other systems confirm (linux, osx)]
• Browser chrome for me

Proposed solution
@cjnolet and I debugged the instances where this happened. He discovered that you can't gave space between the variable name and the ':'. e.g.:

• Good : alpha: float (default = 0.0001) = alpha: float (default = 0.0001)
• Bad: alpha float (default = 0.0001) = alphafloat (default = 0.0001)
• Bad: alpha : float (default = 0.0001) = alphafloat (default = 0.0001)

@dantegd @JohnZed and @cjnolet, references a discussion you had last week?

Is your feature request related to a problem? Please describe.

Currently, I only see CUDA versions 11.0, 11.2, 11.4 and 11.5 in the "RAPIDS RELEASE SELECTOR" on this page
https://rapids.ai/start.html#get-rapids

Describe the solution you'd like
Requesting support for CUDA 11.6

Describe alternatives you've considered
N/A

Additional context
N/A

I noticed this morning that nightly changes that were merged yesterday haven't been published.

Looking back through GitHub Actions it looks like builds have been failing since 8b04fa3 was merged.

   Liquid Exception: Liquid error (line 11): comparison of Array with Array failed in notices/feed.xml
/usr/local/bundle/gems/jekyll-3.9.2/lib/jekyll/filters.rb:304:in `sort!': Liquid error (line 11): comparison of Array with Array failed (Liquid::ArgumentError)

Describe the bug
The existing browser tab title while looking at the api reference could be improved.

To Reproduce
Steps to reproduce the behavior:

1. Go to https://docs.rapids.ai/api/cudf/stable/api.html
2. View browser tab title

Expected behavior
A different name such as version number 0.14, 0.15 etc

Screenshots

In contrast, for other libraries like cuml, CuGraph the version string seems correct:

Desktop (please complete the following information):

• OS: [e.g. MacOS (catalina)]
• Browser [e.g. chrome and safari]
• Version [e.g. 22]

Smartphone (please complete the following information):

• Device: [e.g. iPhone6]
• OS: [e.g. iOS8.1]
• Browser [e.g. stock browser, safari]
• Version [Chrome: Version 84.0.4147.105 (Official Build) (64-bit)]

Describe the bug
Hi,

If you navigate to https://docs.rapids.ai/datasets/mortgage-data, and then press on the 2 years dataset (1 GB split), the link seems to be broken (http://rapidsai-data.s3-website.us-east-2.amazonaws.com/notebook-mortgage-data/mortgage_2000-2001_1gb.tgz)

To Reproduce
Steps to reproduce the behavior:

1. Go to '...'
2. Click on '....'
3. Scroll down to '....'
4. See error

Expected behavior
A clear and concise description of what you expected to happen.

Screenshots
If applicable, add screenshots to help explain your problem.

Desktop (please complete the following information):

• OS: [e.g. iOS]
• Browser [e.g. chrome, safari]
• Version [e.g. 22]

Smartphone (please complete the following information):

• Device: [e.g. iPhone6]
• OS: [e.g. iOS8.1]
• Browser [e.g. stock browser, safari]
• Version [e.g. 22]

Additional context
Add any other context about the problem here.

When I go to https://docs.rapids.ai I get a warning (in Safari) that the certificate is invalid.

It appears the site is returning a cert for *.netlify.app rather than for docs.rapids.ai.

Describe the bug
On mobile, social icons go off screen.

I think it would be nice to say something like, currenty, RAPIDS has a new release approximately every 6 weeks. This will change as we get closer to 1.0...

or something like that

Will keep current Jekyll and Nav system in place until larger update complete:
Corresponding Doc Site Update Preview: #319

We should add CUDA 11.3 to the release selector. This is a common request based on PyTorch's support for 11.3. It uses the 11.2-version packages, but with the cudatoolkit=11.3 specifier (has been tested on 21.12 and install works).

In the CUDA drivers/versions blurb above it on the getting started page, we should add a bullet for 11.3. We can call it experimental as it works perfectly fine per CEC, but we do not have it in CI matrix:

 11.2 & v460.27.03+
 **11.3 & v460.27.03+ (experimental)**
 11.4 & v470.42.01+

The script /rapids/utils/start-jupyter.sh is not present anymore (at least not in the devel image I'm using). However, the docs on https://rapids.ai/start.html still reference it:

I think the docs should be updated to show the new way to start the server, or the script should be brought back to that location. The better solution IMO would be to bring the script back, or a similar script (and update the doc accordingly). The script is useful for users that need to restart the server because:

• they need to change the CWD the server is running in, since that determines which notebooks it's exposing
• jupyter is hanging
• user needs to update a config setting to change ports, set a password, not allow root, etc.

NOTE: I can refile this issue if it's determined this is really about the script and not the doc.

There are two reasons for this request:

• I can never remember the URL for docs off the top of my head because it's so complicated. Pandas for example is just pandas.pydata.org. From rapids.ai, it takes at least 3 clicks to get to the docs for the individual libraries, and that is if you know exactly what you are doing.
• The documentation for cudf, cuml, etc., consists of more than just the API reference. They also contain concepts, user guides, etc. The URL is thus a bit misleading.

Describe the bug
When clicking on a link in the sidebar of the cuGraph docs site, the result doesn't go to the correct location in the main docs page.

To Reproduce

1. Go here: https://docs.rapids.ai/api/cugraph/stable/
2. Click on Louvain
3. The result goes to PageRank, not Louvain

Expected behavior
Link should move to Louvain on the page

Desktop (please complete the following information):

• OS: macOS 10.14.6
• Browser: Safari (v 12.12)
• Browser: Chrome (v 75.0.3770.142)
• Browser: Firefox (v 68.0.1)

Smartphone (please complete the following information):
Did not test on mobile

TBD

Is your feature request related to a problem? Please describe.
Change logs are hard to find.

Describe the solution you'd like
Add links to all change logs - API section is good candidate.

Describe the bug
I have significant difference in results of umap package and cuml.umap running on kaggle.

To Reproduce
Steps to reproduce the behavior:

1. Go to 'This kaggle notebook'
2. Click copy and edit.
3. Click on Accelator GPU T4 x2
4. Execute the code.
5. Check the difference

Expected behavior
The results of the algorithm are very different. I expected different results, but the vary too much

Additional context
This is executed in kaggle