XGBoostLibraryNotFound: Cannot find XGBoost Library in the candidate path, did you install compilers and run build.sh in root path?
List of candidates:
/usr/lib/libxgboost.so

Python 3.6.9
Cuda compilation tools, release 10.1, V10.1.243

The following packages will be DOWNGRADED:

  python                                   3.8.5-h7579374_1 --> 3.7.10-hdb3f193_0

----> 1 import cudf
      2 cudf.__version__

ModuleNotFoundError: No module named 'cudf'

rapidsai-csp-utils/colab/rapids-colab.sh: line 70: syntax error near unexpected token `else'

# Install RAPIDS
!git clone https://github.com/rapidsai/rapidsai-csp-utils.git
!bash rapidsai-csp-utils/colab/rapids-colab.sh stable

import sys, os

dist_package_index = sys.path.index('/usr/local/lib/python3.6/dist-packages')
sys.path = sys.path[:dist_package_index] + ['/usr/local/lib/python3.6/site-packages'] + sys.path[dist_package_index:]
sys.path
exec(open('rapidsai-csp-utils/colab/update_modules.py').read(), globals())

import cudf
import io, requests

# download CSV file from GitHub
url="https://github.com/plotly/datasets/raw/master/tips.csv"
content = requests.get(url).content.decode('utf-8')

# read CSV from memory
tips_df = cudf.read_csv(io.StringIO(content))
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())

      ***********************************************************************
      The pip install of RAPIDS is complete.
      
      Please do not run any further installation from the conda based installation methods, as they may cause issues!  
      
      Please ensure that you're pulling from the git repo to remain updated with the latest working install scripts. 

---------------------------------------------------------------------------
KeyError                                  Traceback (most recent call last)
<ipython-input-2-bdfa5194a5f0> in <module>()
      8 sys.path = sys.path[:dist_package_index] + ['/usr/local/lib/python3.6/site-packages'] + sys.path[dist_package_index:]
      9 sys.path
---> 10 exec(open('rapidsai-csp-utils/colab/update_modules.py').read(), globals())

<string> in <module>()

KeyError: 'pyarrow'

Cloning into 'rapidsai-csp-utils'...
remote: Enumerating objects: 165, done.
remote: Counting objects: 100% (165/165), done.
remote: Compressing objects: 100% (160/160), done.
remote: Total 165 (delta 60), reused 20 (delta 4), pack-reused 0
Receiving objects: 100% (165/165), 48.48 KiB | 8.08 MiB/s, done.
Resolving deltas: 100% (60/60), done.
PLEASE READ
********************************************************************************************************
Changes:
1. Default stable version is now 0.14.  Nightly is now 0.15.  We have fixed the long conda install.  Hooray!
2. 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 0.15, 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 T4'!
***********************************************************************

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
--2020-08-07 01:29:03--  https://repo.continuum.io/miniconda/Miniconda3-4.5.4-Linux-x86_64.sh
Resolving repo.continuum.io (repo.continuum.io)... 104.18.201.79, 104.18.200.79, 2606:4700::6812:c84f, ...
Connecting to repo.continuum.io (repo.continuum.io)|104.18.201.79|: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]
--2020-08-07 01:29:03--  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::6810:8203, ...
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   253MB/s    in 0.2s    

2020-08-07 01:29:03 (253 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
    tqdm-4.47.0                |             py_0          62 KB
    openssl-1.1.1g             |       h7b6447c_0         3.8 MB
    pycparser-2.20             |             py_2          94 KB
    libffi-3.3                 |       he6710b0_2          54 KB
    six-1.15.0                 |             py_0          13 KB
    libedit-3.1.20191231       |       h14c3975_1         121 KB
    ld_impl_linux-64-2.33.1    |       h53a641e_7         645 KB
    requests-2.24.0            |             py_0          54 KB
    cryptography-2.9.2         |   py36h1ba5d50_0         626 KB
    wheel-0.34.2               |           py36_0          49 KB
    ncurses-6.2                |       he6710b0_1         1.1 MB
    cffi-1.14.0                |   py36he30daa8_1         226 KB
    readline-8.0               |       h7b6447c_0         428 KB
    pycosat-0.6.3              |   py36h7b6447c_0         107 KB
    tk-8.6.10                  |       hbc83047_0         3.2 MB
    pyopenssl-19.1.0           |             py_1          47 KB
    sqlite-3.32.3              |       h62c20be_0         2.0 MB
    brotlipy-0.7.0             |py36h7b6447c_1000         348 KB
    _libgcc_mutex-0.1          |             main           3 KB
    urllib3-1.25.9             |             py_0          98 KB
    certifi-2020.6.20          |           py36_0         160 KB
    python-3.6.10              |       h7579374_2        33.9 MB
    ca-certificates-2020.6.24  |                0         133 KB
    pip-20.1.1                 |           py36_1         2.0 MB
    yaml-0.2.5                 |       h7b6447c_0          87 KB
    ruamel_yaml-0.15.87        |   py36h7b6447c_1         256 KB
    conda-4.8.3                |           py36_0         3.0 MB
    libstdcxx-ng-9.1.0         |       hdf63c60_0         4.0 MB
    pysocks-1.7.1              |           py36_0          30 KB
    conda-package-handling-1.6.1|   py36h7b6447c_0         886 KB
    setuptools-49.2.0          |           py36_0         929 KB
    idna-2.10                  |             py_0          56 KB
    chardet-3.0.4              |        py36_1003         197 KB
    xz-5.2.5                   |       h7b6447c_0         438 KB
    zlib-1.2.11                |       h7b6447c_3         120 KB
    ------------------------------------------------------------
                                           Total:        67.4 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:                   4.47.0-py_0            

The following packages will be UPDATED:

    ca-certificates:        2018.03.07-0            --> 2020.6.24-0            
    certifi:                2018.4.16-py36_0        --> 2020.6.20-py36_0       
    cffi:                   1.11.5-py36h9745a5d_0   --> 1.14.0-py36he30daa8_1  
    chardet:                3.0.4-py36h0f667ec_1    --> 3.0.4-py36_1003        
    conda:                  4.5.4-py36_0            --> 4.8.3-py36_0           
    cryptography:           2.2.2-py36h14c3975_0    --> 2.9.2-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           --> 20.1.1-py36_1          
    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        --> 3.6.10-h7579374_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           --> 49.2.0-py36_0          
    six:                    1.11.0-py36h372c433_1   --> 1.15.0-py_0            
    sqlite:                 3.23.1-he433501_0       --> 3.32.3-h62c20be_0      
    tk:                     8.6.7-hc745277_3        --> 8.6.10-hbc83047_0      
    urllib3:                1.22-py36hbe7ace6_0     --> 1.25.9-py_0            
    wheel:                  0.31.1-py36_0           --> 0.34.2-py36_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,  1.16s/it]               
tqdm-4.47.0          |   62 KB | : 100% 1.0/1 [00:00<00:00, 20.77it/s]
openssl-1.1.1g       |  3.8 MB | : 100% 1.0/1 [00:00<00:00,  1.62it/s]               
pycparser-2.20       |   94 KB | : 100% 1.0/1 [00:00<00:00, 14.21it/s]
libffi-3.3           |   54 KB | : 100% 1.0/1 [00:00<00:00, 30.17it/s]
six-1.15.0           |   13 KB | : 100% 1.0/1 [00:00<00:00, 22.93it/s]
libedit-3.1.20191231 |  121 KB | : 100% 1.0/1 [00:00<00:00, 21.43it/s]
ld_impl_linux-64-2.3 |  645 KB | : 100% 1.0/1 [00:00<00:00,  7.02it/s]               
requests-2.24.0      |   54 KB | : 100% 1.0/1 [00:00<00:00, 25.12it/s]
cryptography-2.9.2   |  626 KB | : 100% 1.0/1 [00:00<00:00,  4.74it/s]               
wheel-0.34.2         |   49 KB | : 100% 1.0/1 [00:00<00:00, 20.14it/s]
ncurses-6.2          |  1.1 MB | : 100% 1.0/1 [00:00<00:00,  1.39it/s]               
cffi-1.14.0          |  226 KB | : 100% 1.0/1 [00:00<00:00, 13.55it/s]
readline-8.0         |  428 KB | : 100% 1.0/1 [00:00<00:00,  8.31it/s]
pycosat-0.6.3        |  107 KB | : 100% 1.0/1 [00:00<00:00, 18.34it/s]
tk-8.6.10            |  3.2 MB | : 100% 1.0/1 [00:00<00:00,  1.61it/s]               
pyopenssl-19.1.0     |   47 KB | : 100% 1.0/1 [00:00<00:00, 26.55it/s]
sqlite-3.32.3        |  2.0 MB | : 100% 1.0/1 [00:00<00:00,  3.25it/s]               
brotlipy-0.7.0       |  348 KB | : 100% 1.0/1 [00:00<00:00, 13.06it/s]
_libgcc_mutex-0.1    |    3 KB | : 100% 1.0/1 [00:00<00:00, 32.78it/s]
urllib3-1.25.9       |   98 KB | : 100% 1.0/1 [00:00<00:00, 19.16it/s]
certifi-2020.6.20    |  160 KB | : 100% 1.0/1 [00:00<00:00, 19.72it/s]
python-3.6.10        | 33.9 MB | : 100% 1.0/1 [00:04<00:00,  4.64s/it]               
ca-certificates-2020 |  133 KB | : 100% 1.0/1 [00:00<00:00, 26.34it/s]
pip-20.1.1           |  2.0 MB | : 100% 1.0/1 [00:00<00:00,  1.63it/s]            
yaml-0.2.5           |   87 KB | : 100% 1.0/1 [00:00<00:00, 17.13it/s]
ruamel_yaml-0.15.87  |  256 KB | : 100% 1.0/1 [00:00<00:00,  9.41it/s]
conda-4.8.3          |  3.0 MB | : 100% 1.0/1 [00:00<00:00,  1.43it/s]              
libstdcxx-ng-9.1.0   |  4.0 MB | : 100% 1.0/1 [00:00<00:00,  1.68it/s]               
pysocks-1.7.1        |   30 KB | : 100% 1.0/1 [00:00<00:00, 33.42it/s]
conda-package-handli |  886 KB | : 100% 1.0/1 [00:00<00:00,  6.46it/s]               
setuptools-49.2.0    |  929 KB | : 100% 1.0/1 [00:00<00:00,  3.57it/s]               
idna-2.10            |   56 KB | : 100% 1.0/1 [00:00<00:00, 29.42it/s]
chardet-3.0.4        |  197 KB | : 100% 1.0/1 [00:00<00:00, 12.15it/s]
xz-5.2.5             |  438 KB | : 100% 1.0/1 [00:00<00:00,  8.57it/s]
zlib-1.2.11          |  120 KB | : 100% 1.0/1 [00:00<00:00, 22.62it/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_1006         188 KB  conda-forge
    conda-4.8.3                |   py36h9f0ad1d_1         3.0 MB  conda-forge
    conda-package-handling-1.6.0|   py36h8c4c3a4_2         947 KB  conda-forge
    cryptography-3.0           |   py36h45558ae_0         640 KB  conda-forge
    idna-2.10                  |     pyh9f0ad1d_0          52 KB  conda-forge
    ld_impl_linux-64-2.34      |       hc38a660_9         612 KB  conda-forge
    libgcc-ng-9.3.0            |      h24d8f2e_14         7.8 MB  conda-forge
    libgomp-9.3.0              |      h24d8f2e_14         374 KB  conda-forge
    libstdcxx-ng-9.3.0         |      hdf63c60_14         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-20.2.1                 |             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_1001         270 KB  conda-forge
    setuptools-49.2.1          |   py36h9f0ad1d_0         943 KB  conda-forge
    six-1.15.0                 |     pyh9f0ad1d_0          14 KB  conda-forge
    sqlite-3.32.3              |       hcee41ef_1         1.4 MB  conda-forge
    tk-8.6.10                  |       hed695b0_0         3.2 MB  conda-forge
    tqdm-4.48.2                |     pyh9f0ad1d_0          53 KB  conda-forge
    urllib3-1.25.10            |             py_0          92 KB  conda-forge
    wheel-0.34.2               |             py_1          24 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_1006         105 KB  conda-forge
    ------------------------------------------------------------
                                           Total:        29.8 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_14
  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_1006
  conda                       pkgs/main::conda-4.8.3-py36_0 --> conda-forge::conda-4.8.3-py36h9f0ad1d_1
  cryptography       pkgs/main::cryptography-2.9.2-py36h1b~ --> conda-forge::cryptography-3.0-py36h45558ae_0
  ld_impl_linux-64   pkgs/main::ld_impl_linux-64-2.33.1-h5~ --> conda-forge::ld_impl_linux-64-2.34-hc38a660_9
  libgcc-ng           pkgs/main::libgcc-ng-9.1.0-hdf63c60_0 --> conda-forge::libgcc-ng-9.3.0-h24d8f2e_14
  libstdcxx-ng       pkgs/main::libstdcxx-ng-9.1.0-hdf63c6~ --> conda-forge::libstdcxx-ng-9.3.0-hdf63c60_14
  openssl              pkgs/main::openssl-1.1.1g-h7b6447c_0 --> conda-forge::openssl-1.1.1g-h516909a_1
  pip                 pkgs/main/linux-64::pip-20.1.1-py36_1 --> conda-forge/noarch::pip-20.2.1-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-49.2.0-py36_0 --> conda-forge::setuptools-49.2.1-py36h9f0ad1d_0
  sqlite                pkgs/main::sqlite-3.32.3-h62c20be_0 --> conda-forge::sqlite-3.32.3-hcee41ef_1
  tqdm                          pkgs/main::tqdm-4.47.0-py_0 --> conda-forge::tqdm-4.48.2-pyh9f0ad1d_0
  urllib3                    pkgs/main::urllib3-1.25.9-py_0 --> conda-forge::urllib3-1.25.10-py_0
  wheel              pkgs/main/linux-64::wheel-0.34.2-py36~ --> conda-forge/noarch::wheel-0.34.2-py_1
  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_1006

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-2020.6.24-0 --> 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-1.14.0-py36he30daa8_1 --> conda-forge::cffi-1.11.5-py36_0
  conda-package-han~ pkgs/main::conda-package-handling-1.6~ --> conda-forge::conda-package-handling-1.6.0-py36h8c4c3a4_2
  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_1001
  six                            pkgs/main::six-1.15.0-py_0 --> conda-forge::six-1.15.0-pyh9f0ad1d_0
  tk                        pkgs/main::tk-8.6.10-hbc83047_0 --> conda-forge::tk-8.6.10-hed695b0_0
  yaml                     pkgs/main::yaml-0.2.5-h7b6447c_0 --> conda-forge::yaml-0.2.5-h516909a_0



Downloading and Extracting Packages
requests-2.24.0      | 47 KB     | : 100% 1.0/1 [00:00<00:00,  7.92it/s]                
yaml-0.2.5           | 82 KB     | : 100% 1.0/1 [00:00<00:00, 14.03it/s]
conda-package-handli | 947 KB    | : 100% 1.0/1 [00:00<00:00,  6.19it/s]
_libgcc_mutex-0.1    | 3 KB      | : 100% 1.0/1 [00:00<00:00, 29.64it/s]
ruamel_yaml-0.15.80  | 270 KB    | : 100% 1.0/1 [00:00<00:00, 10.94it/s]
sqlite-3.32.3        | 1.4 MB    | : 100% 1.0/1 [00:00<00:00,  4.47it/s]
ncurses-6.2          | 993 KB    | : 100% 1.0/1 [00:00<00:00,  2.87it/s]
xz-5.2.5             | 343 KB    | : 100% 1.0/1 [00:00<00:00, 10.14it/s]
python_abi-3.6       | 4 KB      | : 100% 1.0/1 [00:00<00:00, 26.60it/s]
zlib-1.2.11          | 105 KB    | : 100% 1.0/1 [00:00<00:00, 22.01it/s]
cffi-1.11.5          | 406 KB    | : 100% 1.0/1 [00:00<00:00, 11.21it/s]
pycparser-2.20       | 94 KB     | : 100% 1.0/1 [00:00<00:00, 20.10it/s]
ca-certificates-2020 | 145 KB    | : 100% 1.0/1 [00:00<00:00, 19.12it/s]
pysocks-1.7.1        | 27 KB     | : 100% 1.0/1 [00:00<00:00, 32.51it/s]
pip-20.2.1           | 1.1 MB    | : 100% 1.0/1 [00:00<00:00,  4.21it/s]
openssl-1.1.1g       | 2.1 MB    | : 100% 1.0/1 [00:00<00:00,  3.18it/s]
libstdcxx-ng-9.3.0   | 4.0 MB    | : 100% 1.0/1 [00:00<00:00,  1.67it/s]
wheel-0.34.2         | 24 KB     | : 100% 1.0/1 [00:00<00:00, 26.70it/s]
idna-2.10            | 52 KB     | : 100% 1.0/1 [00:00<00:00, 25.45it/s]
certifi-2020.6.20    | 151 KB    | : 100% 1.0/1 [00:00<00:00, 19.07it/s]
tk-8.6.10            | 3.2 MB    | : 100% 1.0/1 [00:00<00:00,  1.82it/s]
setuptools-49.2.1    | 943 KB    | : 100% 1.0/1 [00:00<00:00,  4.85it/s]
_openmp_mutex-4.5    | 22 KB     | : 100% 1.0/1 [00:00<00:00, 32.53it/s]
six-1.15.0           | 14 KB     | : 100% 1.0/1 [00:00<00:00, 21.71it/s]
tqdm-4.48.2          | 53 KB     | : 100% 1.0/1 [00:00<00:00, 25.44it/s]
conda-4.8.3          | 3.0 MB    | : 100% 1.0/1 [00:00<00:00,  1.87it/s]
pyopenssl-19.1.0     | 47 KB     | : 100% 1.0/1 [00:00<00:00, 17.13it/s]
chardet-3.0.4        | 188 KB    | : 100% 1.0/1 [00:00<00:00, 12.57it/s]
urllib3-1.25.10      | 92 KB     | : 100% 1.0/1 [00:00<00:00, 18.32it/s]
brotlipy-0.7.0       | 346 KB    | : 100% 1.0/1 [00:00<00:00, 11.08it/s]
libgomp-9.3.0        | 374 KB    | : 100% 1.0/1 [00:00<00:00, 12.80it/s]
readline-8.0         | 281 KB    | : 100% 1.0/1 [00:00<00:00, 12.53it/s]
cryptography-3.0     | 640 KB    | : 100% 1.0/1 [00:00<00:00,  6.15it/s]
pycosat-0.6.3        | 107 KB    | : 100% 1.0/1 [00:00<00:00, 15.25it/s]
libgcc-ng-9.3.0      | 7.8 MB    | : 100% 1.0/1 [00:01<00:00,  1.07s/it]
ld_impl_linux-64-2.3 | 612 KB    | : 100% 1.0/1 [00:00<00:00,  7.66it/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
    - pynvml
    - python=3.6
    - xgboost=1.1.0dev.rapidsai0.14


The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    arrow-cpp-0.15.0           |   py36h090bef1_2        18.1 MB  conda-forge
    blinker-1.4                |             py_1          13 KB  conda-forge
    bokeh-2.1.1                |   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-1.0.7               |    he1b5a44_1004         386 KB  conda-forge
    bzip2-1.0.8                |       h516909a_2         396 KB  conda-forge
    c-ares-1.16.1              |       h516909a_0         108 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-1.5.0          |             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-7.7.0                 |   py36h5c369b2_0        20.5 MB  conda-forge
    curl-7.71.1                |       he644dc0_4         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-2.22.0                |             py_0           4 KB  conda-forge
    dask-core-2.22.0           |             py_0         624 KB  conda-forge
    dask-cudf-0.14.0           |           py36_0          81 KB  rapidsai/label/main
    decorator-4.4.2            |             py_0          11 KB  conda-forge
    distributed-2.22.0         |   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-0.24.0            |   py36h8c4c3a4_0         390 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-0.8.0               |             py_0          61 KB  conda-forge
    gcsfs-0.6.2                |             py_0          19 KB  conda-forge
    gdal-3.1.0                 |   py36hd60729c_1         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-1.20.0         |             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
    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_2         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_4         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       |       h46ee950_1         122 KB  conda-forge
    libev-4.33                 |       h516909a_0         105 KB  conda-forge
    libevent-2.1.10            |       hcdb4288_1         1.3 MB  conda-forge
    libgdal-3.1.0              |       h2e1b11c_1        24.7 MB  conda-forge
    libgfortran-ng-7.5.0       |      hdf63c60_14         1.3 MB  conda-forge
    libhwloc-2.1.0             |       h3c4fd83_0         2.7 MB  conda-forge
    libiconv-1.15              |    h516909a_1006         2.0 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          |       hab1572f_1         709 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_1         308 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
    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               |   py36h7314795_0         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-0.88.0             |       h4190859_0        13.1 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-1.7.0               |       hc9558a2_2         410 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-libx11-1.6.11         |       h516909a_0         920 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
    zict-2.0.0                 |             py_0          10 KB  conda-forge
    zstd-1.4.4                 |       h3b9ef0a_2         982 KB  conda-forge
    ------------------------------------------------------------
                                           Total:        1.39 GB

The following NEW packages will be INSTALLED:

  arrow-cpp          conda-forge/linux-64::arrow-cpp-0.15.0-py36h090bef1_2
  blinker            conda-forge/noarch::blinker-1.4-py_1
  bokeh              conda-forge/linux-64::bokeh-2.1.1-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-1.0.7-he1b5a44_1004
  bzip2              conda-forge/linux-64::bzip2-1.0.8-h516909a_2
  c-ares             conda-forge/linux-64::c-ares-1.16.1-h516909a_0
  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-1.5.0-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-7.7.0-py36h5c369b2_0
  curl               conda-forge/linux-64::curl-7.71.1-he644dc0_4
  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-2.22.0-py_0
  dask-core          conda-forge/noarch::dask-core-2.22.0-py_0
  dask-cudf          rapidsai/label/main/linux-64::dask-cudf-0.14.0-py36_0
  decorator          conda-forge/noarch::decorator-4.4.2-py_0
  distributed        conda-forge/linux-64::distributed-2.22.0-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-0.24.0-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-0.8.0-py_0
  gcsfs              conda-forge/noarch::gcsfs-0.6.2-py_0
  gdal               conda-forge/linux-64::gdal-3.1.0-py36hd60729c_1
  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-1.20.0-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
  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_2
  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_4
  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-h46ee950_1
  libev              conda-forge/linux-64::libev-4.33-h516909a_0
  libevent           conda-forge/linux-64::libevent-2.1.10-hcdb4288_1
  libgdal            conda-forge/linux-64::libgdal-3.1.0-h2e1b11c_1
  libgfortran-ng     conda-forge/linux-64::libgfortran-ng-7.5.0-hdf63c60_14
  libhwloc           conda-forge/linux-64::libhwloc-2.1.0-h3c4fd83_0
  libiconv           conda-forge/linux-64::libiconv-1.15-h516909a_1006
  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-hab1572f_1
  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_1
  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
  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-py36h7314795_0
  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-0.88.0-h4190859_0
  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-1.7.0-hc9558a2_2
  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-libx11-1.6.11-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
  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
fastrlock-0.5        | 31 KB     | : 100% 1.0/1 [00:00<00:00, 10.18it/s]
ucx-1.8.0+gf6ec8d4   | 8.9 MB    | : 100% 1.0/1 [00:02<00:00,  2.63s/it]               
libnghttp2-1.41.0    | 709 KB    | : 100% 1.0/1 [00:00<00:00,  6.20it/s]
json-c-0.13.1        | 76 KB     | : 100% 1.0/1 [00:00<00:00, 19.57it/s]
glib-2.65.0          | 2.9 MB    | : 100% 1.0/1 [00:00<00:00,  3.43it/s]                
libcblas-3.8.0       | 11 KB     | : 100% 1.0/1 [00:00<00:00, 22.85it/s]
snappy-1.1.8         | 32 KB     | : 100% 1.0/1 [00:00<00:00, 24.38it/s]
typing_extensions-3. | 25 KB     | : 100% 1.0/1 [00:00<00:00, 21.28it/s]
xorg-libsm-1.2.3     | 25 KB     | : 100% 1.0/1 [00:00<00:00, 33.14it/s]
pthread-stubs-0.4    | 5 KB      | : 100% 1.0/1 [00:00<00:00, 32.86it/s]
spdlog-1.7.0         | 410 KB    | : 100% 1.0/1 [00:00<00:00,  8.88it/s]
tiledb-1.7.7         | 2.0 MB    | : 100% 1.0/1 [00:00<00:00,  2.39it/s]
libcurl-7.71.1       | 312 KB    | : 100% 1.0/1 [00:00<00:00, 13.26it/s]
libcugraph-0.14.0    | 14.3 MB   | : 100% 1.0/1 [00:02<00:00, 204.74s/it]               
grpc-cpp-1.23.0      | 4.5 MB    | : 100% 1.0/1 [00:00<00:00,  1.20it/s]
pyparsing-2.4.7      | 60 KB     | : 100% 1.0/1 [00:00<00:00, 25.66it/s]
google-auth-1.20.0   | 56 KB     | : 100% 1.0/1 [00:00<00:00, 23.50it/s]
threadpoolctl-2.1.0  | 15 KB     | : 100% 1.0/1 [00:00<00:00, 24.02it/s]
click-7.1.2          | 64 KB     | : 100% 1.0/1 [00:00<00:00, 21.25it/s]
libllvm9-9.0.1       | 25.1 MB   | : 100% 1.0/1 [00:03<00:00,  3.33s/it]               
librmm-0.14.0        | 189 KB    | : 100% 1.0/1 [00:01<00:00,  1.06s/it]                
cfitsio-3.470        | 1.3 MB    | : 100% 1.0/1 [00:00<00:00,  4.33it/s]
libcudf-0.14.0       | 101.5 MB  | : 100% 1.0/1 [00:23<00:00, 23.57s/it]               
hdf5-1.10.6          | 3.0 MB    | : 100% 1.0/1 [00:00<00:00,  2.35it/s]
pixman-0.38.0        | 594 KB    | : 100% 1.0/1 [00:00<00:00,  8.72it/s]
markupsafe-1.1.1     | 26 KB     | : 100% 1.0/1 [00:00<00:00, 25.77it/s]
xorg-libxext-1.3.4   | 51 KB     | : 100% 1.0/1 [00:00<00:00, 25.51it/s]
partd-1.1.0          | 17 KB     | : 100% 1.0/1 [00:00<00:00, 27.49it/s]
tblib-1.6.0          | 14 KB     | : 100% 1.0/1 [00:00<00:00, 26.96it/s]
dlpack-0.3           | 13 KB     | : 100% 1.0/1 [00:00<00:00, 28.96it/s]
libtiff-4.1.0        | 668 KB    | : 100% 1.0/1 [00:00<00:00,  7.42it/s]
numba-0.50.1         | 3.1 MB    | : 100% 1.0/1 [00:00<00:00,  3.34it/s]
boost-cpp-1.70.0     | 21.1 MB   | : 100% 1.0/1 [00:05<00:00,  5.90s/it]               
contextvars-2.4      | 11 KB     | : 100% 1.0/1 [00:00<00:00, 31.75it/s]
pyasn1-modules-0.2.7 | 60 KB     | : 100% 1.0/1 [00:00<00:00, 19.37it/s]
cuspatial-0.14.0     | 3.6 MB    | : 100% 1.0/1 [00:01<00:00, 36.04s/it]              
cudatoolkit-10.1.243 | 513.2 MB  | : 100% 1.0/1 [00:58<00:00, 58.34s/it]
libnetcdf-4.7.4      | 1.3 MB    | : 100% 1.0/1 [00:00<00:00,  4.46it/s]
xgboost-1.1.0dev.rap | 12 KB     | : 100% 1.0/1 [00:00<00:00,  2.02it/s]
gflags-2.2.2         | 114 KB    | : 100% 1.0/1 [00:00<00:00, 18.80it/s]
dask-core-2.22.0     | 624 KB    | : 100% 1.0/1 [00:00<00:00,  6.34it/s]
nvstrings-0.14.0     | 129 KB    | : 100% 1.0/1 [00:00<00:00,  1.31it/s]                
libiconv-1.15        | 2.0 MB    | : 100% 1.0/1 [00:00<00:00,  4.10it/s]
postgresql-12.3      | 5.0 MB    | : 100% 1.0/1 [00:00<00:00,  1.30it/s]               
cudnn-7.6.0          | 240.9 MB  | : 100% 1.0/1 [00:27<00:00, 27.35s/it]
boost-1.70.0         | 337 KB    | : 100% 1.0/1 [00:00<00:00,  8.60it/s]
curl-7.71.1          | 139 KB    | : 100% 1.0/1 [00:00<00:00, 19.50it/s]
olefile-0.46         | 31 KB     | : 100% 1.0/1 [00:00<00:00, 18.95it/s]
py-xgboost-1.1.0dev. | 106 KB    | : 100% 1.0/1 [00:00<00:00,  1.43it/s]               
zict-2.0.0           | 10 KB     | : 100% 1.0/1 [00:00<00:00, 29.44it/s]
locket-0.2.0         | 6 KB      | : 100% 1.0/1 [00:00<00:00, 29.70it/s]
pillow-7.2.0         | 670 KB    | : 100% 1.0/1 [00:00<00:00,  7.28it/s]
xorg-libxdmcp-1.1.3  | 18 KB     | : 100% 1.0/1 [00:00<00:00, 31.03it/s]
cachetools-4.1.1     | 12 KB     | : 100% 1.0/1 [00:00<00:00, 25.92it/s]
gdal-3.1.0           | 1.3 MB    | : 100% 1.0/1 [00:00<00:00,  4.12it/s]
xorg-libice-1.0.10   | 57 KB     | : 100% 1.0/1 [00:00<00:00, 23.15it/s]
lcms2-2.11           | 431 KB    | : 100% 1.0/1 [00:00<00:00, 11.01it/s]
libcuspatial-0.14.0  | 3.4 MB    | : 100% 1.0/1 [00:01<00:00, 22.28s/it]                
xerces-c-3.2.2       | 1.7 MB    | : 100% 1.0/1 [00:00<00:00,  2.62it/s]
libpq-12.3           | 2.6 MB    | : 100% 1.0/1 [00:00<00:00,  2.10it/s]
geotiff-1.6.0        | 280 KB    | : 100% 1.0/1 [00:00<00:00, 13.73it/s]
nccl-2.5.7.1         | 98.4 MB   | : 100% 1.0/1 [00:11<00:00, 11.76s/it]               
parquet-cpp-1.5.1    | 3 KB      | : 100% 1.0/1 [00:00<00:00, 29.24it/s]
libuuid-2.32.1       | 26 KB     | : 100% 1.0/1 [00:00<00:00, 22.55it/s]
uriparser-0.9.3      | 49 KB     | : 100% 1.0/1 [00:00<00:00, 27.44it/s]
libev-4.33           | 105 KB    | : 100% 1.0/1 [00:00<00:00, 21.53it/s]
c-ares-1.16.1        | 108 KB    | : 100% 1.0/1 [00:00<00:00, 18.77it/s]
tzcode-2020a         | 425 KB    | : 100% 1.0/1 [00:00<00:00,  5.87it/s]
python-dateutil-2.8. | 220 KB    | : 100% 1.0/1 [00:00<00:00, 17.19it/s]
geos-3.8.1           | 1.0 MB    | : 100% 1.0/1 [00:00<00:00,  4.15it/s]
xorg-libxrender-0.9. | 31 KB     | : 100% 1.0/1 [00:00<00:00, 26.87it/s]
libopenblas-0.3.10   | 7.8 MB    | : 100% 1.0/1 [00:01<00:00,  1.26s/it]
fastavro-0.24.0      | 390 KB    | : 100% 1.0/1 [00:00<00:00, 11.17it/s]
heapdict-1.0.1       | 7 KB      | : 100% 1.0/1 [00:00<00:00, 29.84it/s]
pyasn1-0.4.8         | 53 KB     | : 100% 1.0/1 [00:00<00:00, 24.32it/s]
gcsfs-0.6.2          | 19 KB     | : 100% 1.0/1 [00:00<00:00, 29.75it/s]
pyyaml-5.3.1         | 186 KB    | : 100% 1.0/1 [00:00<00:00, 15.60it/s]
poppler-0.88.0       | 13.1 MB   | : 100% 1.0/1 [00:01<00:00,  1.53s/it]               
oauthlib-3.0.1       | 82 KB     | : 100% 1.0/1 [00:00<00:00, 18.14it/s]
libprotobuf-3.8.0    | 4.7 MB    | : 100% 1.0/1 [00:00<00:00,  1.15it/s]
openjpeg-2.3.1       | 475 KB    | : 100% 1.0/1 [00:00<00:00,  7.88it/s]
cupy-7.7.0           | 20.5 MB   | : 100% 1.0/1 [00:02<00:00,  2.96s/it]              
libxcb-1.13          | 396 KB    | : 100% 1.0/1 [00:00<00:00,  8.29it/s]
cloudpickle-1.5.0    | 22 KB     | : 100% 1.0/1 [00:00<00:00, 26.68it/s]
xorg-xproto-7.0.31   | 72 KB     | : 100% 1.0/1 [00:00<00:00, 21.80it/s]
libssh2-1.9.0        | 225 KB    | : 100% 1.0/1 [00:00<00:00, 12.26it/s]
pcre-8.44            | 261 KB    | : 100% 1.0/1 [00:00<00:00, 13.77it/s]
expat-2.2.9          | 191 KB    | : 100% 1.0/1 [00:00<00:00, 16.19it/s]
sortedcontainers-2.2 | 25 KB     | : 100% 1.0/1 [00:00<00:00, 31.26it/s]
icu-64.2             | 12.6 MB   | : 100% 1.0/1 [00:01<00:00,  1.65s/it]               
rmm-0.14.0           | 684 KB    | : 100% 1.0/1 [00:01<00:00, 13.06s/it]               
liblapack-3.8.0      | 11 KB     | : 100% 1.0/1 [00:00<00:00, 29.69it/s]
hdf4-4.2.13          | 964 KB    | : 100% 1.0/1 [00:00<00:00,  5.63it/s]
brotli-1.0.7         | 386 KB    | : 100% 1.0/1 [00:00<00:00, 12.99it/s]
numpy-1.19.1         | 5.2 MB    | : 100% 1.0/1 [00:00<00:00,  1.08it/s]
cugraph-0.14.0       | 6.9 MB    | : 100% 1.0/1 [00:01<00:00,  1.82s/it]               
cairo-1.16.0         | 1.5 MB    | : 100% 1.0/1 [00:00<00:00,  3.67it/s]
freetype-2.10.2      | 905 KB    | : 100% 1.0/1 [00:00<00:00,  6.52it/s]
libedit-3.1.20191231 | 122 KB    | : 100% 1.0/1 [00:00<00:00, 20.75it/s]
llvmlite-0.33.0      | 329 KB    | : 100% 1.0/1 [00:00<00:00, 11.61it/s]
jpeg-9d              | 266 KB    | : 100% 1.0/1 [00:00<00:00, 10.89it/s]
proj-7.0.0           | 3.7 MB    | : 100% 1.0/1 [00:00<00:00,  1.58it/s]
pynvml-8.0.4         | 31 KB     | : 100% 1.0/1 [00:00<00:00, 28.33it/s]
libblas-3.8.0        | 11 KB     | : 100% 1.0/1 [00:00<00:00, 30.07it/s]
xorg-libxau-1.0.9    | 13 KB     | : 100% 1.0/1 [00:00<00:00, 31.72it/s]
thrift-cpp-0.12.0    | 2.4 MB    | : 100% 1.0/1 [00:00<00:00,  2.36it/s]
bzip2-1.0.8          | 396 KB    | : 100% 1.0/1 [00:00<00:00, 11.09it/s]
rsa-4.6              | 27 KB     | : 100% 1.0/1 [00:00<00:00, 24.27it/s]
cudf-0.14.0          | 25.7 MB   | : 100% 1.0/1 [00:04<00:00, 185.83s/it]               
glog-0.4.0           | 104 KB    | : 100% 1.0/1 [00:00<00:00, 20.56it/s]
libcumlprims-0.14.1  | 6.0 MB    | : 100% 1.0/1 [00:01<00:00,  1.74s/it]
xorg-libx11-1.6.11   | 920 KB    | : 100% 1.0/1 [00:00<00:00,  6.30it/s]
libdap4-3.20.6       | 7.9 MB    | : 100% 1.0/1 [00:01<00:00,  1.07s/it]               
immutables-0.14      | 68 KB     | : 100% 1.0/1 [00:00<00:00, 21.82it/s]
lz4-c-1.8.3          | 187 KB    | : 100% 1.0/1 [00:00<00:00, 17.65it/s]
libkml-1.3.0         | 643 KB    | : 100% 1.0/1 [00:00<00:00,  7.08it/s]
dask-2.22.0          | 4 KB      | : 100% 1.0/1 [00:00<00:00, 31.91it/s]
google-auth-oauthlib | 18 KB     | : 100% 1.0/1 [00:00<00:00, 26.26it/s]
krb5-1.17.1          | 1.5 MB    | : 100% 1.0/1 [00:00<00:00,  4.14it/s]
joblib-0.16.0        | 203 KB    | : 100% 1.0/1 [00:00<00:00, 13.50it/s]
libspatialite-4.3.0a | 3.1 MB    | : 100% 1.0/1 [00:00<00:00,  1.73it/s]
pandas-0.25.3        | 11.4 MB   | : 100% 1.0/1 [00:02<00:00,  2.02s/it]               
packaging-20.4       | 32 KB     | : 100% 1.0/1 [00:00<00:00, 27.30it/s]
libxml2-2.9.10       | 1.3 MB    | : 100% 1.0/1 [00:00<00:00,  3.37it/s]
pyarrow-0.15.0       | 3.2 MB    | : 100% 1.0/1 [00:00<00:00,  1.32it/s]
xorg-xextproto-7.3.0 | 27 KB     | : 100% 1.0/1 [00:00<00:00, 30.84it/s]
blinker-1.4          | 13 KB     | : 100% 1.0/1 [00:00<00:00, 28.23it/s]
zstd-1.4.4           | 982 KB    | : 100% 1.0/1 [00:00<00:00,  6.59it/s]
ucx-py-0.14.0+gf6ec8 | 137 KB    | : 100% 1.0/1 [00:01<00:00,  1.03s/it]             
scikit-learn-0.23.2  | 6.8 MB    | : 100% 1.0/1 [00:01<00:00,  1.23s/it]              
libgfortran-ng-7.5.0 | 1.3 MB    | : 100% 1.0/1 [00:00<00:00,  3.81it/s]
libgdal-3.1.0        | 24.7 MB   | : 100% 1.0/1 [00:03<00:00,  3.69s/it]               
xorg-kbproto-1.0.7   | 26 KB     | : 100% 1.0/1 [00:00<00:00, 27.59it/s]
requests-oauthlib-1. | 21 KB     | : 100% 1.0/1 [00:00<00:00, 27.10it/s]
cusignal-0.14.1      | 87 KB     | : 100% 1.0/1 [00:00<00:00,  3.15it/s]                
pytz-2020.1          | 227 KB    | : 100% 1.0/1 [00:00<00:00,  8.70it/s]
poppler-data-0.4.9   | 3.4 MB    | : 100% 1.0/1 [00:00<00:00,  1.85it/s]
re2-2020.04.01       | 438 KB    | : 100% 1.0/1 [00:00<00:00,  8.61it/s]
tbb-2018.0.5         | 1.1 MB    | : 100% 1.0/1 [00:00<00:00,  5.37it/s]
double-conversion-3. | 85 KB     | : 100% 1.0/1 [00:00<00:00, 24.62it/s]
jinja2-2.11.2        | 93 KB     | : 100% 1.0/1 [00:00<00:00, 22.62it/s]
libcuml-0.14.0       | 42.4 MB   | : 100% 1.0/1 [00:20<00:00, 83.38s/it]               
libevent-2.1.10      | 1.3 MB    | : 100% 1.0/1 [00:00<00:00,  3.36it/s]
libxgboost-1.1.0dev. | 31.1 MB   | : 100% 1.0/1 [00:07<00:00, 97.49s/it]                
arrow-cpp-0.15.0     | 18.1 MB   | : 100% 1.0/1 [00:02<00:00,  1.87s/it]               
cuml-0.14.0          | 9.6 MB    | : 100% 1.0/1 [00:02<00:00,  2.46s/it]               
distributed-2.22.0   | 1.0 MB    | : 100% 1.0/1 [00:00<00:00,  3.82it/s]
psutil-5.7.2         | 336 KB    | : 100% 1.0/1 [00:00<00:00, 10.56it/s]
msgpack-python-1.0.0 | 91 KB     | : 100% 1.0/1 [00:00<00:00, 14.45it/s]
pyjwt-1.7.1          | 17 KB     | : 100% 1.0/1 [00:00<00:00, 28.12it/s]
libwebp-base-1.1.0   | 845 KB    | : 100% 1.0/1 [00:00<00:00,  4.67it/s]
kealib-1.4.13        | 172 KB    | : 100% 1.0/1 [00:00<00:00, 16.88it/s]
fsspec-0.8.0         | 61 KB     | : 100% 1.0/1 [00:00<00:00, 22.21it/s]
cytoolz-0.10.1       | 431 KB    | : 100% 1.0/1 [00:00<00:00,  9.51it/s]
bokeh-2.1.1          | 6.9 MB    | : 100% 1.0/1 [00:01<00:00,  1.52s/it]
scipy-1.4.1          | 18.9 MB   | : 100% 1.0/1 [00:02<00:00,  1.78s/it]             
xorg-renderproto-0.1 | 8 KB      | : 100% 1.0/1 [00:00<00:00, 24.94it/s]
freexl-1.0.5         | 46 KB     | : 100% 1.0/1 [00:00<00:00, 28.04it/s]
decorator-4.4.2      | 11 KB     | : 100% 1.0/1 [00:00<00:00, 28.34it/s]
fontconfig-2.13.1    | 340 KB    | : 100% 1.0/1 [00:00<00:00, 12.09it/s]
libhwloc-2.1.0       | 2.7 MB    | : 100% 1.0/1 [00:00<00:00,  2.96it/s]
libpng-1.6.37        | 308 KB    | : 100% 1.0/1 [00:00<00:00, 12.31it/s]
dask-cudf-0.14.0     | 81 KB     | : 100% 1.0/1 [00:00<00:00,  1.55it/s]               
toolz-0.10.0         | 46 KB     | : 100% 1.0/1 [00:00<00:00, 22.68it/s]
libnvstrings-0.14.0  | 30.1 MB   | : 100% 1.0/1 [00:06<00:00,  6.72s/it]               
tornado-6.0.4        | 639 KB    | : 100% 1.0/1 [00:00<00:00,  6.67it/s]
giflib-5.2.1         | 80 KB     | : 100% 1.0/1 [00:00<00:00, 25.82it/s]
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...
***********************************************************************

---------------------------------------------------------------------------
KeyError                                  Traceback (most recent call last)
<ipython-input-2-bdfa5194a5f0> in <module>()
      8 sys.path = sys.path[:dist_package_index] + ['/usr/local/lib/python3.6/site-packages'] + sys.path[dist_package_index:]
      9 sys.path
---> 10 exec(open('rapidsai-csp-utils/colab/update_modules.py').read(), globals())

<string> in <module>()

KeyError: 'pyarrow'

Preparing transaction: done 
Verifying transaction: done 
Executing transaction: failed ERROR conda.core.link:_execute(502): An error occurred while installing package 'conda-forge::blinker-1.4-py_1'. FileNotFoundError(2, "No such file or directory: '/usr/local/bin/python3.6'") 
Attempting to roll back. 
Rolling back transaction: done 
FileNotFoundError(2, "No such file or directory: '/usr/local/bin/python3.6'")

The environment is inconsistent, please check the package plan carefully
The following packages are causing the inconsistency:

  - defaults/noarch::numpydoc==0.9.2=py_0
  - defaults/noarch::sphinx==3.0.4=py_0
  - defaults/noarch::s3fs==0.4.0=py_0
  - defaults/linux-64::spyder==4.1.2=py37_0 

conda install -y anaconda
conda update -y --all
conda install -y -c rapidsai -c nvidia -c conda-forge     -c defaults rapids=0.14 python=3.7 cudatoolkit=10.2

PLEASE READ
********************************************************************************************************
Changes:
1. Now that most people have migrated, we have rem0ved the migration notice.
2. default stable version is now 0.13.  Nightly is now 0.14
3. You can now declare your RAPIDS version as a CLI option and skip the user prompts (ex: '0.13' or '0.14', between 0.11 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 0.13', 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 0.14, or '!bash rapidsai-csp-utils/colab/rapids-colab.sh nightly', or '!bash rapidsai-csp-utils/colab/rapids-colab.sh n'
Enjoy using RAPIDS!
As you didn't specify a RAPIDS version, please enter in the box your desired RAPIDS version (ex: '0.11' or '0.12', between 0.11 to 0.14, without the quotes)
and hit Enter. If you need stability, use 0.13. If you want bleeding edge, use our nightly version (0.14), but understand that caveats that come with nightly versions.
0.13
RAPIDS Version to install is 0.13
Checking for GPU type:
***********************************************************************
Woo! Your instance has the right kind of GPU, a 'Tesla P100-PCIE-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
--2020-04-14 19:37:20--  https://repo.continuum.io/miniconda/Miniconda3-4.5.4-Linux-x86_64.sh
Resolving repo.continuum.io (repo.continuum.io)... 104.18.201.79, 104.18.200.79, 2606:4700::6812:c94f, ...
Connecting to repo.continuum.io (repo.continuum.io)|104.18.201.79|: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]
--2020-04-14 19:37:20--  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::6810:8203, ...
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   155MB/s    in 0.4s    

2020-04-14 19:37:21 (155 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


==> WARNING: A newer version of conda exists. <==
  current version: 4.5.4
  latest version: 4.8.3

Please update conda by running

    $ conda update -n base conda



## Package Plan ##

  environment location: /usr/local

  added / updated specs: 
    - openssl
    - python=3.6


The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    ca-certificates-2020.4.5.1 |       hecc5488_0         146 KB  conda-forge
    _openmp_mutex-4.5          |            0_gnu         435 KB  conda-forge
    tk-8.6.10                  |       hed695b0_0         3.2 MB  conda-forge
    libgcc-ng-9.2.0            |       h24d8f2e_2         8.2 MB  conda-forge
    certifi-2020.4.5.1         |   py36h9f0ad1d_0         151 KB  conda-forge
    ld_impl_linux-64-2.34      |       h53a641e_0         616 KB  conda-forge
    zlib-1.2.11                |    h516909a_1006         105 KB  conda-forge
    xz-5.2.5                   |       h516909a_0         430 KB  conda-forge
    wheel-0.34.2               |             py_1          24 KB  conda-forge
    libstdcxx-ng-9.2.0         |       hdf63c60_2         4.5 MB  conda-forge
    setuptools-46.1.3          |   py36h9f0ad1d_0         653 KB  conda-forge
    python_abi-3.6             |          1_cp36m           4 KB  conda-forge
    python-3.6.10              |h8356626_1010_cpython        34.1 MB  conda-forge
    openssl-1.1.1f             |       h516909a_0         2.1 MB  conda-forge
    sqlite-3.30.1              |       hcee41ef_0         2.0 MB  conda-forge
    libgomp-9.2.0              |       h24d8f2e_2         816 KB  conda-forge
    pip-20.0.2                 |             py_2         1.0 MB  conda-forge
    _libgcc_mutex-0.1          |      conda_forge           3 KB  conda-forge
    libffi-3.2.1               |    he1b5a44_1007          47 KB  conda-forge
    ncurses-6.1                |    hf484d3e_1002         1.3 MB  conda-forge
    readline-8.0               |       hf8c457e_0         441 KB  conda-forge
    ------------------------------------------------------------
                                           Total:        60.2 MB

The following NEW packages will be INSTALLED:

    _libgcc_mutex:    0.1-conda_forge   conda-forge
    _openmp_mutex:    4.5-0_gnu         conda-forge
    ld_impl_linux-64: 2.34-h53a641e_0   conda-forge
    libgomp:          9.2.0-h24d8f2e_2  conda-forge
    python_abi:       3.6-1_cp36m       conda-forge

The following packages will be UPDATED:

    ca-certificates:  2018.03.07-0                  --> 2020.4.5.1-hecc5488_0        conda-forge
    certifi:          2018.4.16-py36_0              --> 2020.4.5.1-py36h9f0ad1d_0    conda-forge
    libffi:           3.2.1-hd88cf55_4              --> 3.2.1-he1b5a44_1007          conda-forge
    libgcc-ng:        7.2.0-hdf63c60_3              --> 9.2.0-h24d8f2e_2             conda-forge
    libstdcxx-ng:     7.2.0-hdf63c60_3              --> 9.2.0-hdf63c60_2             conda-forge
    ncurses:          6.1-hf484d3e_0                --> 6.1-hf484d3e_1002            conda-forge
    openssl:          1.0.2o-h20670df_0             --> 1.1.1f-h516909a_0            conda-forge
    pip:              10.0.1-py36_0                 --> 20.0.2-py_2                  conda-forge
    python:           3.6.5-hc3d631a_2              --> 3.6.10-h8356626_1010_cpython conda-forge
    readline:         7.0-ha6073c6_4                --> 8.0-hf8c457e_0               conda-forge
    setuptools:       39.2.0-py36_0                 --> 46.1.3-py36h9f0ad1d_0        conda-forge
    sqlite:           3.23.1-he433501_0             --> 3.30.1-hcee41ef_0            conda-forge
    tk:               8.6.7-hc745277_3              --> 8.6.10-hed695b0_0            conda-forge
    wheel:            0.31.1-py36_0                 --> 0.34.2-py_1                  conda-forge
    xz:               5.2.4-h14c3975_4              --> 5.2.5-h516909a_0             conda-forge
    zlib:             1.2.11-ha838bed_2             --> 1.2.11-h516909a_1006         conda-forge


Downloading and Extracting Packages
ca-certificates-2020 |  146 KB | : 100% 1.0/1 [00:00<00:00,  8.21it/s]             
_openmp_mutex-4.5    |  435 KB | : 100% 1.0/1 [00:00<00:00,  9.65it/s]
tk-8.6.10            |  3.2 MB | : 100% 1.0/1 [00:00<00:00,  1.28it/s]               
libgcc-ng-9.2.0      |  8.2 MB | : 100% 1.0/1 [00:01<00:00,  1.38s/it]               
certifi-2020.4.5.1   |  151 KB | : 100% 1.0/1 [00:00<00:00, 10.15it/s]
ld_impl_linux-64-2.3 |  616 KB | : 100% 1.0/1 [00:00<00:00,  5.75it/s]               
zlib-1.2.11          |  105 KB | : 100% 1.0/1 [00:00<00:00, 14.08it/s]
xz-5.2.5             |  430 KB | : 100% 1.0/1 [00:00<00:00,  5.94it/s]               
wheel-0.34.2         |   24 KB | : 100% 1.0/1 [00:00<00:00, 13.23it/s]
libstdcxx-ng-9.2.0   |  4.5 MB | : 100% 1.0/1 [00:00<00:00,  1.24it/s]               
setuptools-46.1.3    |  653 KB | : 100% 1.0/1 [00:00<00:00,  4.15it/s]               
python_abi-3.6       |    4 KB | : 100% 1.0/1 [00:00<00:00, 22.59it/s]
python-3.6.10        | 34.1 MB | : 100% 1.0/1 [00:05<00:00,  5.52s/it]               
openssl-1.1.1f       |  2.1 MB | : 100% 1.0/1 [00:00<00:00,  2.30it/s]               
sqlite-3.30.1        |  2.0 MB | : 100% 1.0/1 [00:00<00:00,  2.55it/s]               
libgomp-9.2.0        |  816 KB | : 100% 1.0/1 [00:00<00:00,  6.26it/s]               
pip-20.0.2           |  1.0 MB | : 100% 1.0/1 [00:00<00:00,  2.79it/s]               
_libgcc_mutex-0.1    |    3 KB | : 100% 1.0/1 [00:00<00:00, 25.78it/s]
libffi-3.2.1         |   47 KB | : 100% 1.0/1 [00:00<00:00, 15.10it/s]
ncurses-6.1          |  1.3 MB | : 100% 1.0/1 [00:01<00:00,  1.15s/it]              
readline-8.0         |  441 KB | : 100% 1.0/1 [00:00<00:00,  6.39it/s]               
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
Installing RAPIDS 0.13 packages from the stable release channel
Please standby, this will take a few minutes...
Solving environment: failed

CondaError: KeyboardInterrupt

Copying shared object files to /usr/lib
cp: cannot stat '/usr/local/lib/libcudf.so': No such file or directory
cp: cannot stat '/usr/local/lib/librmm.so': No such file or directory
cp: cannot stat '/usr/local/lib/libnccl.so': No such file or directory
Copying RAPIDS compatible xgboost
cp: cannot stat '/usr/local/lib/libxgboost.so': No such file or directory

************************************************
Your Google Colab instance has RAPIDS installed!
************************************************

!git clone https://github.com/rapidsai/rapidsai-csp-utils.git
!python rapidsai-csp-utils/colab/pip-install.py

---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
<ipython-input-4-92b88e5a8d54> in <cell line: 1>()
----> 1 get_ipython().run_line_magic('load_ext', 'cudf.pandas')

18 frames
<decorator-gen-57> in load_ext(self, module_str)

/usr/local/lib/python3.10/dist-packages/numba/__init__.py in _ensure_critical_deps()
     40         raise ImportError(msg)
     41     elif numpy_version > (1, 24):
---> 42         raise ImportError("Numba needs NumPy 1.24 or less")
     43     try:
     44         import scipy

ImportError: Numba needs NumPy 1.24 or less

---------------------------------------------------------------------------
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.
---------------------------------------------------------------------------

# you can now run the rest of the cells as normal
import condacolab
condacolab.check()

✨🍰✨ Everything looks OK!

# Installing RAPIDS is now 'python rapidsai-csp-utils/colab/install_rapids.py <release> <packages>'
# The <release> options are 'stable' and 'nightly'.  Leaving it blank or adding any other words will default to stable.
!python rapidsai-csp-utils/colab/install_rapids.py stable
import os
os.environ['NUMBAPRO_NVVM'] = '/usr/local/cuda/nvvm/lib64/libnvvm.so'
os.environ['NUMBAPRO_LIBDEVICE'] = '/usr/local/cuda/nvvm/libdevice/'
os.environ['CONDA_PREFIX'] = '/usr/local'
!pip uninstall cupy -y

Found existing installation: cffi 1.15.0
Uninstalling cffi-1.15.0:
  Successfully uninstalled cffi-1.15.0
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
WARNING: Skipping cryptography as it is not installed.
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/
Collecting cffi==1.15.0
  Using cached cffi-1.15.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (444 kB)
Requirement already satisfied: pycparser in /usr/local/lib/python3.9/site-packages (from cffi==1.15.0) (2.21)
Installing collected packages: cffi
Successfully installed cffi-1.15.0
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
Installing RAPIDS Stable 22.12
Starting the RAPIDS install on Colab.  This will take about 15 minutes.
Collecting package metadata (current_repodata.json): ...working... done
Solving environment: ...working... failed with initial frozen solve. Retrying with flexible solve.
Collecting package metadata (repodata.json): ...working... done
Solving environment: ...working... WARNING conda.core.solve:_add_specs(640): pinned spec python=3.9 conflicts with explicit specs.  Overriding pinned spec.
WARNING conda.core.solve:_add_specs(640): pinned spec cudatoolkit=11.8 conflicts with explicit specs.  Overriding pinned spec.
failed with initial frozen solve. Retrying with flexible solve.
Solving environment: ...working... WARNING conda.core.solve:_add_specs(640): pinned spec python=3.9 conflicts with explicit specs.  Overriding pinned spec.
WARNING conda.core.solve:_add_specs(640): pinned spec cudatoolkit=11.8 conflicts with explicit specs.  Overriding pinned spec.
failed

SpecsConfigurationConflictError: Requested specs conflict with configured specs.
  requested specs:
    - cudatoolkit=11.2
    - dask-sql
    - gcsfs
    - llvmlite
    - openssl
    - python=3.8
    - rapids=22.12
  pinned specs:
    - python_abi=3.9[build=*cp39*]
Use 'conda config --show-sources' to look for 'pinned_specs' and 'track_features'
configuration parameters.  Pinned specs may also be defined in the file
/usr/local/conda-meta/pinned.


RAPIDS conda installation complete.  Updating Colab's libraries...
WARNING: Skipping cupy as it is not installed.
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv

import cudf, cuml, cugraph, cuspatial

      ***********************************************************************
      The pip install of RAPIDS is complete.
      
      Please do not run any further installation from the conda based installation methods, as they may cause issues!  
      
      Please ensure that you're pulling from the git repo to remain updated with the latest working install scripts. 

/usr/local/lib/python3.10/site-packages/numba/__init__.py in _ensure_critical_deps()
     40         raise ImportError(msg)
     41     elif numpy_version > (1, 24):
---> 42         raise ImportError("Numba needs NumPy 1.24 or less")
     43     try:
     44         import scipy

ImportError: Numba needs NumPy 1.24 or less

---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
[/usr/local/lib/python3.10/dist-packages/cupy/__init__.py](https://localhost:8080/#) in <module>
     16 try:
---> 17     from cupy import _core  # NOQA
     18 except ImportError as exc:

3 frames
ImportError: libcudart.so.11.0: cannot open shared object file: No such file or directory

The above exception was the direct cause of the following exception:

ImportError                               Traceback (most recent call last)
[/usr/local/lib/python3.10/dist-packages/cupy/__init__.py](https://localhost:8080/#) in <module>
     17     from cupy import _core  # NOQA
     18 except ImportError as exc:
---> 19     raise ImportError(f'''
     20 ================================================================
     21 {_environment._diagnose_import_error()}

ImportError: 
================================================================
Failed to import CuPy.

If you installed CuPy via wheels (cupy-cudaXXX or cupy-rocm-X-X), make sure that the package matches with the version of CUDA or ROCm installed.

On Linux, you may need to set LD_LIBRARY_PATH environment variable depending on how you installed CUDA/ROCm.
On Windows, try setting CUDA_PATH environment variable.

Check the Installation Guide for details:
  https://docs.cupy.dev/en/latest/install.html

Original error:
  ImportError: libcudart.so.11.0: cannot open shared object file: No such file or directory
================================================================

!git clone https://github.com/rapidsai/rapidsai-csp-utils.git
!python rapidsai-csp-utils/colab/env-check.py