Cloning into 'rapidsai-csp-utils'...
remote: Enumerating objects: 30, done.
remote: Counting objects: 100% (30/30), done.
remote: Compressing objects: 100% (29/29), done.
remote: Total 30 (delta 6), reused 5 (delta 0), pack-reused 0
Unpacking objects: 100% (30/30), done.
PLEASE READ
********************************************************************************************************
Colab Notebooks Migration Notice:
We have changed the location of the Colab script to our new CSP utilties repo.
We are also dropping support for versions below 0.11, as we are on 0.13 nightlies
Not all Colab notebooks are updated (like personal Colabs) and/or are using outdated versions of RAPIDS,
so we HIGHLY encourage users to update their scripts and Colab notebooks both with the new link AND with
to the new API. Otherwise, your code MAY BREAK
This notice will disappear/be updated on our next release.
Please enter in the box your desired RAPIDS version (ex: '0.11' or '0.12', between 0.11 to 0.13, without the quotes)
and hit Enter. If you need stability, use 0.12. If you want bleeding edge, use our nightlies (0.13), but things can break.
0.12
Please COMPARE the "SCRIPT TO COPY" with the code in the above cell. If they are the same, just type any key. If not, do steps 2-4.
SCRIPT TO COPY:
!git clone https://github.com/rapidsai/rapidsai-csp-utils.git
!bash rapidsai-csp-utils/colab/rapids-colab.sh
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())
********************************************************************************************************
Do you have the above version of the script running in your cell? (Y/N)
Y
Continuing with RAPIDS install
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-2.9.2:
Successfully uninstalled dask-2.9.2
Uninstalling distributed-1.25.3:
Successfully uninstalled distributed-1.25.3
Installing conda
--2020-02-22 11:35:09-- 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:c84f, ...
Connecting to repo.continuum.io (repo.continuum.io)|104.18.200.79|: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 24.6MB/s in 2.3s
2020-02-22 11:35:12 (24.6 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 ...
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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
Installing RAPIDS 0.12 packages from the stable release channel
Please standby, this will take a few minutes...
Solving environment: - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / done
==> WARNING: A newer version of conda exists. <==
current version: 4.5.4
latest version: 4.8.2
Please update conda by running
$ conda update -n base conda
## Package Plan ##
environment location: /usr/local
added / updated specs:
- cudatoolkit=10.0
- cudf=0.12
- cugraph
- cuml
- cuspatial
- dask-cudf
- gcsfs
- pynvml
- python=3.6
- xgboost
The following packages will be downloaded:
package | build
---------------------------|-----------------
ncurses-6.1 | hf484d3e_1002 1.3 MB conda-forge
fastavro-0.22.9 | py36h516909a_0 409 KB conda-forge
scikit-learn-0.22.1 | py36hcdab131_1 7.1 MB conda-forge
packaging-20.1 | py_0 31 KB conda-forge
tornado-6.0.3 | py36h516909a_4 636 KB conda-forge
zict-1.0.0 | py_0 10 KB conda-forge
libxgboost-0.90.rapidsdev1 | cuda10.0_1 32.8 MB rapidsai/label/xgboost
cugraph-0.12.0 | py36_0 4.0 MB rapidsai
cudf-0.12.0 | py36_0 9.9 MB rapidsai
libstdcxx-ng-9.2.0 | hdf63c60_2 4.5 MB conda-forge
xorg-libx11-1.6.9 | h516909a_0 918 KB conda-forge
toolz-0.10.0 | py_0 46 KB conda-forge
libdap4-3.20.4 | hd3bb157_0 18.5 MB conda-forge
pyjwt-1.7.1 | py_0 17 KB conda-forge
pynvml-8.0.4 | py_0 31 KB conda-forge
libssh2-1.8.2 | h22169c7_2 257 KB conda-forge
openjpeg-2.3.1 | h981e76c_3 475 KB conda-forge
zlib-1.2.11 | h516909a_1006 105 KB conda-forge
_libgcc_mutex-0.1 | conda_forge 3 KB conda-forge
krb5-1.16.4 | h2fd8d38_0 1.4 MB conda-forge
grpc-cpp-1.23.0 | h18db393_0 4.5 MB conda-forge
fontconfig-2.13.1 | h86ecdb6_1001 340 KB conda-forge
python-dateutil-2.8.1 | py_0 220 KB conda-forge
hdf5-1.10.5 |nompi_h3c11f04_1104 3.1 MB conda-forge
xorg-xextproto-7.3.0 | h14c3975_1002 27 KB conda-forge
python-3.6.7 | h357f687_1006 34.6 MB conda-forge
oauthlib-3.0.1 | py_0 82 KB conda-forge
libtiff-4.1.0 | hfc65ed5_0 595 KB conda-forge
glib-2.58.3 |py36h6f030ca_1002 3.3 MB conda-forge
libcugraph-0.12.0 | cuda10.0_0 18.9 MB rapidsai
gflags-2.2.2 | he1b5a44_1002 175 KB conda-forge
fsspec-0.6.2 | py_0 46 KB conda-forge
libprotobuf-3.8.0 | h8b12597_0 4.7 MB conda-forge
xerces-c-3.2.2 | h8412b87_1004 1.7 MB conda-forge
libevent-2.1.10 | h72c5cf5_0 1.3 MB conda-forge
freexl-1.0.5 | h14c3975_1002 43 KB conda-forge
json-c-0.13.1 | h14c3975_1001 71 KB conda-forge
xorg-renderproto-0.11.1 | h14c3975_1002 8 KB conda-forge
thrift-cpp-0.12.0 | hf3afdfd_1004 2.4 MB conda-forge
c-ares-1.15.0 | h516909a_1001 100 KB conda-forge
openssl-1.1.1d | h516909a_0 2.1 MB conda-forge
icu-64.2 | he1b5a44_1 12.6 MB conda-forge
libgfortran-ng-7.3.0 | hdf63c60_5 1.7 MB conda-forge
rmm-0.12.0 | py36_0 353 KB rapidsai
boost-cpp-1.70.0 | h8e57a91_2 21.1 MB conda-forge
_openmp_mutex-4.5 | 1_llvm 5 KB conda-forge
cairo-1.16.0 | hfb77d84_1002 1.5 MB conda-forge
jpeg-9c | h14c3975_1001 251 KB conda-forge
setuptools-45.2.0 | py36_0 653 KB conda-forge
libxml2-2.9.10 | hee79883_0 1.3 MB conda-forge
pycparser-2.19 | py_2 88 KB conda-forge
tzcode-2019a | h516909a_1002 429 KB conda-forge
msgpack-python-1.0.0 | py36hc9558a2_0 90 KB conda-forge
pyparsing-2.4.6 | py_0 59 KB conda-forge
cryptography-2.8 | py36h72c5cf5_1 616 KB conda-forge
libllvm8-8.0.1 | hc9558a2_0 23.2 MB conda-forge
cudatoolkit-10.0.130 | 0 380.0 MB nvidia
idna-2.9 | py_1 52 KB conda-forge
freetype-2.10.0 | he983fc9_1 884 KB conda-forge
libcumlprims-0.12 | cuda10.0_9 6.5 MB nvidia
libgdal-2.4.4 | h2b6fda6_0 18.7 MB conda-forge
ca-certificates-2019.11.28 | hecc5488_0 145 KB conda-forge
xorg-libxrender-0.9.10 | h516909a_1002 31 KB conda-forge
cfitsio-3.470 | hb60a0a2_2 1.4 MB conda-forge
cloudpickle-1.3.0 | py_0 24 KB conda-forge
libuuid-2.32.1 | h14c3975_1000 26 KB conda-forge
six-1.14.0 | py36_0 23 KB conda-forge
click-7.0 | py_0 61 KB conda-forge
google-auth-1.11.2 | py_0 47 KB conda-forge
ucx-1.7.0+g9d06c3a | cuda10.0_0 8.2 MB rapidsai
xorg-kbproto-1.0.7 | h14c3975_1002 26 KB conda-forge
llvmlite-0.31.0 | py36h8b12597_0 337 KB conda-forge
libhwloc-2.1.0 | h3c4fd83_0 2.7 MB conda-forge
parquet-cpp-1.5.1 | 2 3 KB conda-forge
nvstrings-0.12.0 | py36_0 129 KB rapidsai
pyarrow-0.15.0 | py36h8b68381_1 3.2 MB conda-forge
gettext-0.19.8.1 | hc5be6a0_1002 3.6 MB conda-forge
heapdict-1.0.1 | py_0 7 KB conda-forge
kealib-1.4.10 | h58c409b_1005 173 KB conda-forge
pillow-7.0.0 | py36hefe7db6_0 647 KB conda-forge
pip-20.0.2 | py_2 1.0 MB conda-forge
pytz-2019.3 | py_0 237 KB conda-forge
libcblas-3.8.0 | 15_openblas 10 KB conda-forge
google-auth-oauthlib-0.4.1 | py_2 18 KB conda-forge
numpy-1.18.1 | py36h95a1406_0 5.2 MB conda-forge
nccl-2.4.6.1 | cuda10.0_0 66.5 MB nvidia
hdf4-4.2.13 | hf30be14_1003 964 KB conda-forge
xorg-xproto-7.0.31 | h14c3975_1007 72 KB conda-forge
xorg-libxext-1.3.4 | h516909a_0 51 KB conda-forge
xorg-libxau-1.0.9 | h14c3975_0 13 KB conda-forge
psutil-5.7.0 | py36h516909a_0 325 KB conda-forge
double-conversion-3.1.5 | he1b5a44_2 85 KB conda-forge
xgboost-0.90.rapidsdev1 | cuda10.0py36_1 12 KB rapidsai/label/xgboost
distributed-2.11.0 | py36_0 986 KB conda-forge
bokeh-1.4.0 | py36_0 13.5 MB conda-forge
tblib-1.6.0 | py_0 14 KB conda-forge
arrow-cpp-0.15.0 | py36h090bef1_2 18.1 MB conda-forge
pandas-0.25.3 | py36hb3f55d8_0 11.4 MB conda-forge
proj-6.3.0 | hc80f0dc_0 10.3 MB conda-forge
requests-oauthlib-1.2.0 | py_0 19 KB conda-forge
libspatialite-4.3.0a | ha48a99a_1034 3.1 MB conda-forge
jinja2-2.11.1 | py_0 94 KB conda-forge
giflib-5.1.7 | h516909a_1 455 KB conda-forge
pyopenssl-19.1.0 | py_1 47 KB conda-forge
ucx-py-0.12.0+g9d06c3a | py36_0 270 KB rapidsai
tk-8.6.10 | hed695b0_0 3.2 MB conda-forge
readline-8.0 | hf8c457e_0 441 KB conda-forge
poppler-data-0.4.9 | 1 3.4 MB conda-forge
uriparser-0.9.3 | he1b5a44_1 49 KB conda-forge
xorg-libice-1.0.10 | h516909a_0 57 KB conda-forge
dlpack-0.2 | he1b5a44_1 13 KB conda-forge
pcre-8.44 | he1b5a44_0 261 KB conda-forge
libgcc-ng-9.2.0 | h24d8f2e_2 8.2 MB conda-forge
cupy-7.2.0 | py36he57b8b9_1 15.2 MB conda-forge
xorg-libsm-1.2.3 | h84519dc_1000 25 KB conda-forge
cytoolz-0.10.1 | py36h516909a_0 431 KB conda-forge
expat-2.2.9 | he1b5a44_2 191 KB conda-forge
xorg-libxdmcp-1.1.3 | h516909a_0 18 KB conda-forge
brotli-1.0.7 | he1b5a44_1000 1.0 MB conda-forge
librmm-0.12.0 | cuda10.0_0 53 KB rapidsai
decorator-4.4.1 | py_0 11 KB conda-forge
libopenblas-0.3.8 | h5ec1e0e_0 7.8 MB conda-forge
cachetools-3.1.1 | py_0 11 KB conda-forge
gcsfs-0.6.0 | py_0 19 KB conda-forge
libiconv-1.15 | h516909a_1005 2.0 MB conda-forge
geos-3.8.0 | he1b5a44_0 1.0 MB conda-forge
blinker-1.4 | py_1 13 KB conda-forge
xz-5.2.4 | h14c3975_1001 366 KB conda-forge
pyasn1-0.4.8 | py_0 53 KB conda-forge
requests-2.23.0 | py36_0 85 KB conda-forge
postgresql-12.2 | hf1211e9_0 5.0 MB conda-forge
partd-1.1.0 | py_0 17 KB conda-forge
cuspatial-0.12.0 | py36_0 574 KB rapidsai
libnetcdf-4.7.3 |nompi_h9f9fd6a_101 1.3 MB conda-forge
gdal-2.4.4 | py36h5f563d9_0 1.4 MB conda-forge
yaml-0.2.2 | h516909a_1 82 KB conda-forge
olefile-0.46 | py_0 31 KB conda-forge
scipy-1.4.1 | py36h921218d_0 18.9 MB conda-forge
geotiff-1.5.1 | h38872f0_8 279 KB conda-forge
pysocks-1.7.1 | py36_0 27 KB conda-forge
chardet-3.0.4 | py36_1003 190 KB conda-forge
poppler-0.67.0 | h14e79db_8 8.9 MB conda-forge
cffi-1.13.2 | py36h8022711_0 220 KB conda-forge
bzip2-1.0.8 | h516909a_2 396 KB conda-forge
libcurl-7.68.0 | hda55be3_0 564 KB conda-forge
liblapack-3.8.0 | 15_openblas 10 KB conda-forge
libblas-3.8.0 | 15_openblas 10 KB conda-forge
dask-2.11.0 | py_0 4 KB conda-forge
libpng-1.6.37 | hed695b0_0 343 KB conda-forge
libffi-3.2.1 | he1b5a44_1006 46 KB conda-forge
glog-0.4.0 | he1b5a44_1 104 KB conda-forge
markupsafe-1.1.1 | py36h516909a_0 26 KB conda-forge
sqlite-3.30.1 | hcee41ef_0 2.0 MB conda-forge
libnvstrings-0.12.0 | cuda10.0_0 30.1 MB rapidsai
libedit-3.1.20170329 | hf8c457e_1001 172 KB conda-forge
lz4-c-1.8.3 | he1b5a44_1001 187 KB conda-forge
numba-0.48.0 | py36hb3f55d8_0 3.4 MB conda-forge
pixman-0.38.0 | h516909a_1003 594 KB conda-forge
libcuspatial-0.12.0 | cuda10.0_0 1.6 MB rapidsai
certifi-2019.11.28 | py36_0 149 KB conda-forge
libxcb-1.13 | h14c3975_1002 396 KB conda-forge
libkml-1.3.0 | h4fcabce_1010 643 KB conda-forge
re2-2020.01.01 | he1b5a44_0 422 KB conda-forge
libpq-12.2 | hae5116b_0 2.6 MB conda-forge
zstd-1.4.3 | h3b9ef0a_0 935 KB conda-forge
rsa-4.0 | py_0 27 KB conda-forge
libcudf-0.12.0 | cuda10.0_0 119.2 MB rapidsai
locket-0.2.0 | py_2 6 KB conda-forge
py-xgboost-0.90.rapidsdev1 | cuda10.0py36_1 87 KB rapidsai/label/xgboost
cuml-0.12.0 | cuda10.0_py36_0 9.1 MB rapidsai
pyyaml-5.3 | py36h516909a_0 185 KB conda-forge
joblib-0.14.1 | py_0 198 KB conda-forge
libcuml-0.12.0 | cuda10.0_0 51.8 MB rapidsai
curl-7.68.0 | hf8cf82a_0 137 KB conda-forge
snappy-1.1.8 | he1b5a44_1 39 KB conda-forge
dask-core-2.11.0 | py_0 592 KB conda-forge
urllib3-1.25.7 | py36_0 160 KB conda-forge
wheel-0.34.2 | py_1 24 KB conda-forge
sortedcontainers-2.1.0 | py_0 25 KB conda-forge
fastrlock-0.4 |py36he1b5a44_1000 32 KB conda-forge
cudnn-7.6.0 | cuda10.0_0 216.6 MB nvidia
llvm-openmp-9.0.1 | hc9558a2_2 782 KB conda-forge
pthread-stubs-0.4 | h14c3975_1001 5 KB conda-forge
pyasn1-modules-0.2.7 | py_0 60 KB conda-forge
dask-cudf-0.12.0 | py36_0 70 KB rapidsai
------------------------------------------------------------
Total: 1.28 GB
The following NEW packages will be INSTALLED:
_libgcc_mutex: 0.1-conda_forge conda-forge
_openmp_mutex: 4.5-1_llvm conda-forge
arrow-cpp: 0.15.0-py36h090bef1_2 conda-forge
blinker: 1.4-py_1 conda-forge
bokeh: 1.4.0-py36_0 conda-forge
boost-cpp: 1.70.0-h8e57a91_2 conda-forge
brotli: 1.0.7-he1b5a44_1000 conda-forge
bzip2: 1.0.8-h516909a_2 conda-forge
c-ares: 1.15.0-h516909a_1001 conda-forge
cachetools: 3.1.1-py_0 conda-forge
cairo: 1.16.0-hfb77d84_1002 conda-forge
cfitsio: 3.470-hb60a0a2_2 conda-forge
click: 7.0-py_0 conda-forge
cloudpickle: 1.3.0-py_0 conda-forge
cudatoolkit: 10.0.130-0 nvidia
cudf: 0.12.0-py36_0 rapidsai
cudnn: 7.6.0-cuda10.0_0 nvidia
cugraph: 0.12.0-py36_0 rapidsai
cuml: 0.12.0-cuda10.0_py36_0 rapidsai
cupy: 7.2.0-py36he57b8b9_1 conda-forge
curl: 7.68.0-hf8cf82a_0 conda-forge
cuspatial: 0.12.0-py36_0 rapidsai
cytoolz: 0.10.1-py36h516909a_0 conda-forge
dask: 2.11.0-py_0 conda-forge
dask-core: 2.11.0-py_0 conda-forge
dask-cudf: 0.12.0-py36_0 rapidsai
decorator: 4.4.1-py_0 conda-forge
distributed: 2.11.0-py36_0 conda-forge
dlpack: 0.2-he1b5a44_1 conda-forge
double-conversion: 3.1.5-he1b5a44_2 conda-forge
expat: 2.2.9-he1b5a44_2 conda-forge
fastavro: 0.22.9-py36h516909a_0 conda-forge
fastrlock: 0.4-py36he1b5a44_1000 conda-forge
fontconfig: 2.13.1-h86ecdb6_1001 conda-forge
freetype: 2.10.0-he983fc9_1 conda-forge
freexl: 1.0.5-h14c3975_1002 conda-forge
fsspec: 0.6.2-py_0 conda-forge
gcsfs: 0.6.0-py_0 conda-forge
gdal: 2.4.4-py36h5f563d9_0 conda-forge
geos: 3.8.0-he1b5a44_0 conda-forge
geotiff: 1.5.1-h38872f0_8 conda-forge
gettext: 0.19.8.1-hc5be6a0_1002 conda-forge
gflags: 2.2.2-he1b5a44_1002 conda-forge
giflib: 5.1.7-h516909a_1 conda-forge
glib: 2.58.3-py36h6f030ca_1002 conda-forge
glog: 0.4.0-he1b5a44_1 conda-forge
google-auth: 1.11.2-py_0 conda-forge
google-auth-oauthlib: 0.4.1-py_2 conda-forge
grpc-cpp: 1.23.0-h18db393_0 conda-forge
hdf4: 4.2.13-hf30be14_1003 conda-forge
hdf5: 1.10.5-nompi_h3c11f04_1104 conda-forge
heapdict: 1.0.1-py_0 conda-forge
icu: 64.2-he1b5a44_1 conda-forge
jinja2: 2.11.1-py_0 conda-forge
joblib: 0.14.1-py_0 conda-forge
jpeg: 9c-h14c3975_1001 conda-forge
json-c: 0.13.1-h14c3975_1001 conda-forge
kealib: 1.4.10-h58c409b_1005 conda-forge
krb5: 1.16.4-h2fd8d38_0 conda-forge
libblas: 3.8.0-15_openblas conda-forge
libcblas: 3.8.0-15_openblas conda-forge
libcudf: 0.12.0-cuda10.0_0 rapidsai
libcugraph: 0.12.0-cuda10.0_0 rapidsai
libcuml: 0.12.0-cuda10.0_0 rapidsai
libcumlprims: 0.12-cuda10.0_9 nvidia
libcurl: 7.68.0-hda55be3_0 conda-forge
libcuspatial: 0.12.0-cuda10.0_0 rapidsai
libdap4: 3.20.4-hd3bb157_0 conda-forge
libevent: 2.1.10-h72c5cf5_0 conda-forge
libgdal: 2.4.4-h2b6fda6_0 conda-forge
libgfortran-ng: 7.3.0-hdf63c60_5 conda-forge
libhwloc: 2.1.0-h3c4fd83_0 conda-forge
libiconv: 1.15-h516909a_1005 conda-forge
libkml: 1.3.0-h4fcabce_1010 conda-forge
liblapack: 3.8.0-15_openblas conda-forge
libllvm8: 8.0.1-hc9558a2_0 conda-forge
libnetcdf: 4.7.3-nompi_h9f9fd6a_101 conda-forge
libnvstrings: 0.12.0-cuda10.0_0 rapidsai
libopenblas: 0.3.8-h5ec1e0e_0 conda-forge
libpng: 1.6.37-hed695b0_0 conda-forge
libpq: 12.2-hae5116b_0 conda-forge
libprotobuf: 3.8.0-h8b12597_0 conda-forge
librmm: 0.12.0-cuda10.0_0 rapidsai
libspatialite: 4.3.0a-ha48a99a_1034 conda-forge
libssh2: 1.8.2-h22169c7_2 conda-forge
libtiff: 4.1.0-hfc65ed5_0 conda-forge
libuuid: 2.32.1-h14c3975_1000 conda-forge
libxcb: 1.13-h14c3975_1002 conda-forge
libxgboost: 0.90.rapidsdev1-cuda10.0_1 rapidsai/label/xgboost
libxml2: 2.9.10-hee79883_0 conda-forge
llvm-openmp: 9.0.1-hc9558a2_2 conda-forge
llvmlite: 0.31.0-py36h8b12597_0 conda-forge
locket: 0.2.0-py_2 conda-forge
lz4-c: 1.8.3-he1b5a44_1001 conda-forge
markupsafe: 1.1.1-py36h516909a_0 conda-forge
msgpack-python: 1.0.0-py36hc9558a2_0 conda-forge
nccl: 2.4.6.1-cuda10.0_0 nvidia
numba: 0.48.0-py36hb3f55d8_0 conda-forge
numpy: 1.18.1-py36h95a1406_0 conda-forge
nvstrings: 0.12.0-py36_0 rapidsai
oauthlib: 3.0.1-py_0 conda-forge
olefile: 0.46-py_0 conda-forge
openjpeg: 2.3.1-h981e76c_3 conda-forge
packaging: 20.1-py_0 conda-forge
pandas: 0.25.3-py36hb3f55d8_0 conda-forge
parquet-cpp: 1.5.1-2 conda-forge
partd: 1.1.0-py_0 conda-forge
pcre: 8.44-he1b5a44_0 conda-forge
pillow: 7.0.0-py36hefe7db6_0 conda-forge
pixman: 0.38.0-h516909a_1003 conda-forge
poppler: 0.67.0-h14e79db_8 conda-forge
poppler-data: 0.4.9-1 conda-forge
postgresql: 12.2-hf1211e9_0 conda-forge
proj: 6.3.0-hc80f0dc_0 conda-forge
psutil: 5.7.0-py36h516909a_0 conda-forge
pthread-stubs: 0.4-h14c3975_1001 conda-forge
py-xgboost: 0.90.rapidsdev1-cuda10.0py36_1 rapidsai/label/xgboost
pyarrow: 0.15.0-py36h8b68381_1 conda-forge
pyasn1: 0.4.8-py_0 conda-forge
pyasn1-modules: 0.2.7-py_0 conda-forge
pyjwt: 1.7.1-py_0 conda-forge
pynvml: 8.0.4-py_0 conda-forge
pyparsing: 2.4.6-py_0 conda-forge
python-dateutil: 2.8.1-py_0 conda-forge
pytz: 2019.3-py_0 conda-forge
pyyaml: 5.3-py36h516909a_0 conda-forge
re2: 2020.01.01-he1b5a44_0 conda-forge
requests-oauthlib: 1.2.0-py_0 conda-forge
rmm: 0.12.0-py36_0 rapidsai
rsa: 4.0-py_0 conda-forge
scikit-learn: 0.22.1-py36hcdab131_1 conda-forge
scipy: 1.4.1-py36h921218d_0 conda-forge
snappy: 1.1.8-he1b5a44_1 conda-forge
sortedcontainers: 2.1.0-py_0 conda-forge
tblib: 1.6.0-py_0 conda-forge
thrift-cpp: 0.12.0-hf3afdfd_1004 conda-forge
toolz: 0.10.0-py_0 conda-forge
tornado: 6.0.3-py36h516909a_4 conda-forge
tzcode: 2019a-h516909a_1002 conda-forge
ucx: 1.7.0+g9d06c3a-cuda10.0_0 rapidsai
ucx-py: 0.12.0+g9d06c3a-py36_0 rapidsai
uriparser: 0.9.3-he1b5a44_1 conda-forge
xerces-c: 3.2.2-h8412b87_1004 conda-forge
xgboost: 0.90.rapidsdev1-cuda10.0py36_1 rapidsai/label/xgboost
xorg-kbproto: 1.0.7-h14c3975_1002 conda-forge
xorg-libice: 1.0.10-h516909a_0 conda-forge
xorg-libsm: 1.2.3-h84519dc_1000 conda-forge
xorg-libx11: 1.6.9-h516909a_0 conda-forge
xorg-libxau: 1.0.9-h14c3975_0 conda-forge
xorg-libxdmcp: 1.1.3-h516909a_0 conda-forge
xorg-libxext: 1.3.4-h516909a_0 conda-forge
xorg-libxrender: 0.9.10-h516909a_1002 conda-forge
xorg-renderproto: 0.11.1-h14c3975_1002 conda-forge
xorg-xextproto: 7.3.0-h14c3975_1002 conda-forge
xorg-xproto: 7.0.31-h14c3975_1007 conda-forge
zict: 1.0.0-py_0 conda-forge
zstd: 1.4.3-h3b9ef0a_0 conda-forge
The following packages will be UPDATED:
ca-certificates: 2018.03.07-0 --> 2019.11.28-hecc5488_0 conda-forge
certifi: 2018.4.16-py36_0 --> 2019.11.28-py36_0 conda-forge
cffi: 1.11.5-py36h9745a5d_0 --> 1.13.2-py36h8022711_0 conda-forge
chardet: 3.0.4-py36h0f667ec_1 --> 3.0.4-py36_1003 conda-forge
cryptography: 2.2.2-py36h14c3975_0 --> 2.8-py36h72c5cf5_1 conda-forge
idna: 2.6-py36h82fb2a8_1 --> 2.9-py_1 conda-forge
libedit: 3.1.20170329-h6b74fdf_2 --> 3.1.20170329-hf8c457e_1001 conda-forge
libffi: 3.2.1-hd88cf55_4 --> 3.2.1-he1b5a44_1006 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 --> 1.1.1d-h516909a_0 conda-forge
pip: 10.0.1-py36_0 --> 20.0.2-py_2 conda-forge
pycparser: 2.18-py36hf9f622e_1 --> 2.19-py_2 conda-forge
pyopenssl: 18.0.0-py36_0 --> 19.1.0-py_1 conda-forge
pysocks: 1.6.8-py36_0 --> 1.7.1-py36_0 conda-forge
python: 3.6.5-hc3d631a_2 --> 3.6.7-h357f687_1006 conda-forge
readline: 7.0-ha6073c6_4 --> 8.0-hf8c457e_0 conda-forge
requests: 2.18.4-py36he2e5f8d_1 --> 2.23.0-py36_0 conda-forge
setuptools: 39.2.0-py36_0 --> 45.2.0-py36_0 conda-forge
six: 1.11.0-py36h372c433_1 --> 1.14.0-py36_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
urllib3: 1.22-py36hbe7ace6_0 --> 1.25.7-py36_0 conda-forge
wheel: 0.31.1-py36_0 --> 0.34.2-py_1 conda-forge
xz: 5.2.4-h14c3975_4 --> 5.2.4-h14c3975_1001 conda-forge
yaml: 0.1.7-had09818_2 --> 0.2.2-h516909a_1 conda-forge
zlib: 1.2.11-ha838bed_2 --> 1.2.11-h516909a_1006 conda-forge
Downloading and Extracting Packages
ncurses-6.1 | 1.3 MB | : 100% 1.0/1 [00:00<00:00, 1.22it/s]
fastavro-0.22.9 | 409 KB | : 100% 1.0/1 [00:00<00:00, 8.96it/s]
scikit-learn-0.22.1 | 7.1 MB | : 100% 1.0/1 [00:01<00:00, 1.55s/it]
packaging-20.1 | 31 KB | : 100% 1.0/1 [00:00<00:00, 23.50it/s]
tornado-6.0.3 | 636 KB | : 100% 1.0/1 [00:00<00:00, 5.17it/s]
zict-1.0.0 | 10 KB | : 100% 1.0/1 [00:00<00:00, 29.84it/s]
libxgboost-0.90.rapi | 32.8 MB | : 100% 1.0/1 [00:10<00:00, 10.10s/it]
cugraph-0.12.0 | 4.0 MB | : 100% 1.0/1 [00:02<00:00, 2.53s/it]
cudf-0.12.0 | 9.9 MB | : 100% 1.0/1 [00:02<00:00, 2.66s/it]
libstdcxx-ng-9.2.0 | 4.5 MB | : 100% 1.0/1 [00:00<00:00, 1.42it/s]
xorg-libx11-1.6.9 | 918 KB | : 100% 1.0/1 [00:00<00:00, 4.44it/s]
toolz-0.10.0 | 46 KB | : 100% 1.0/1 [00:00<00:00, 17.10it/s]
libdap4-3.20.4 | 18.5 MB | : 100% 1.0/1 [00:02<00:00, 2.71s/it]
pyjwt-1.7.1 | 17 KB | : 100% 1.0/1 [00:00<00:00, 24.26it/s]
pynvml-8.0.4 | 31 KB | : 100% 1.0/1 [00:00<00:00, 20.92it/s]
libssh2-1.8.2 | 257 KB | : 100% 1.0/1 [00:00<00:00, 8.42it/s]
openjpeg-2.3.1 | 475 KB | : 100% 1.0/1 [00:00<00:00, 9.41it/s]
zlib-1.2.11 | 105 KB | : 100% 1.0/1 [00:00<00:00, 20.31it/s]
_libgcc_mutex-0.1 | 3 KB | : 100% 1.0/1 [00:00<00:00, 26.52it/s]
krb5-1.16.4 | 1.4 MB | : 100% 1.0/1 [00:00<00:00, 3.44it/s]
grpc-cpp-1.23.0 | 4.5 MB | : 100% 1.0/1 [00:00<00:00, 1.00it/s]
fontconfig-2.13.1 | 340 KB | : 100% 1.0/1 [00:00<00:00, 7.58it/s]
python-dateutil-2.8. | 220 KB | : 100% 1.0/1 [00:00<00:00, 17.62it/s]
hdf5-1.10.5 | 3.1 MB | : 100% 1.0/1 [00:00<00:00, 1.94it/s]
xorg-xextproto-7.3.0 | 27 KB | : 100% 1.0/1 [00:00<00:00, 18.36it/s]
python-3.6.7 | 34.6 MB | : 100% 1.0/1 [00:05<00:00, 5.19s/it]
oauthlib-3.0.1 | 82 KB | : 100% 1.0/1 [00:00<00:00, 14.40it/s]
libtiff-4.1.0 | 595 KB | : 100% 1.0/1 [00:00<00:00, 6.80it/s]
glib-2.58.3 | 3.3 MB | : 100% 1.0/1 [00:00<00:00, 1.28it/s]
libcugraph-0.12.0 | 18.9 MB | : 100% 1.0/1 [00:04<00:00, 4.79s/it]
gflags-2.2.2 | 175 KB | : 100% 1.0/1 [00:00<00:00, 10.59it/s]
fsspec-0.6.2 | 46 KB | : 100% 1.0/1 [00:00<00:00, 16.99it/s]
libprotobuf-3.8.0 | 4.7 MB | : 100% 1.0/1 [00:01<00:00, 1.01s/it]
xerces-c-3.2.2 | 1.7 MB | : 100% 1.0/1 [00:00<00:00, 1.80it/s]
libevent-2.1.10 | 1.3 MB | : 100% 1.0/1 [00:00<00:00, 2.52it/s]
freexl-1.0.5 | 43 KB | : 100% 1.0/1 [00:00<00:00, 25.81it/s]
json-c-0.13.1 | 71 KB | : 100% 1.0/1 [00:00<00:00, 20.75it/s]
xorg-renderproto-0.1 | 8 KB | : 100% 1.0/1 [00:00<00:00, 17.33it/s]
thrift-cpp-0.12.0 | 2.4 MB | : 100% 1.0/1 [00:00<00:00, 2.11it/s]
c-ares-1.15.0 | 100 KB | : 100% 1.0/1 [00:00<00:00, 19.52it/s]
openssl-1.1.1d | 2.1 MB | : 100% 1.0/1 [00:00<00:00, 2.49it/s]
icu-64.2 | 12.6 MB | : 100% 1.0/1 [00:02<00:00, 2.06s/it]
libgfortran-ng-7.3.0 | 1.7 MB | : 100% 1.0/1 [00:00<00:00, 2.77it/s]
rmm-0.12.0 | 353 KB | : 100% 1.0/1 [00:01<00:00, 1.49s/it]
boost-cpp-1.70.0 | 21.1 MB | : 100% 1.0/1 [00:09<00:00, 9.37s/it]
_openmp_mutex-4.5 | 5 KB | : 100% 1.0/1 [00:00<00:00, 33.41it/s]
cairo-1.16.0 | 1.5 MB | : 100% 1.0/1 [00:00<00:00, 2.71it/s]
jpeg-9c | 251 KB | : 100% 1.0/1 [00:00<00:00, 12.22it/s]
setuptools-45.2.0 | 653 KB | : 100% 1.0/1 [00:00<00:00, 4.34it/s]
libxml2-2.9.10 | 1.3 MB | : 100% 1.0/1 [00:00<00:00, 2.61it/s]
pycparser-2.19 | 88 KB | : 100% 1.0/1 [00:00<00:00, 16.56it/s]
tzcode-2019a | 429 KB | : 100% 1.0/1 [00:00<00:00, 2.72it/s]
msgpack-python-1.0.0 | 90 KB | : 100% 1.0/1 [00:00<00:00, 9.80it/s]
pyparsing-2.4.6 | 59 KB | : 100% 1.0/1 [00:00<00:00, 16.85it/s]
cryptography-2.8 | 616 KB | : 100% 1.0/1 [00:00<00:00, 4.65it/s]
libllvm8-8.0.1 | 23.2 MB | : 100% 1.0/1 [00:03<00:00, 3.94s/it]
cudatoolkit-10.0.130 | 380.0 MB | : 100% 1.0/1 [00:57<00:00, 57.57s/it]
idna-2.9 | 52 KB | : 100% 1.0/1 [00:00<00:00, 20.17it/s]
freetype-2.10.0 | 884 KB | : 100% 1.0/1 [00:00<00:00, 5.27it/s]
libcumlprims-0.12 | 6.5 MB | : 100% 1.0/1 [00:03<00:00, 3.37s/it]
libgdal-2.4.4 | 18.7 MB | : 100% 1.0/1 [00:03<00:00, 3.52s/it]
ca-certificates-2019 | 145 KB | : 100% 1.0/1 [00:00<00:00, 18.65it/s]
xorg-libxrender-0.9. | 31 KB | : 100% 1.0/1 [00:00<00:00, 27.46it/s]
cfitsio-3.470 | 1.4 MB | : 100% 1.0/1 [00:00<00:00, 3.45it/s]
cloudpickle-1.3.0 | 24 KB | : 100% 1.0/1 [00:00<00:00, 26.96it/s]
libuuid-2.32.1 | 26 KB | : 100% 1.0/1 [00:00<00:00, 29.79it/s]
six-1.14.0 | 23 KB | : 100% 1.0/1 [00:00<00:00, 27.29it/s]
click-7.0 | 61 KB | : 100% 1.0/1 [00:00<00:00, 9.55it/s]
google-auth-1.11.2 | 47 KB | : 100% 1.0/1 [00:00<00:00, 15.80it/s]
ucx-1.7.0+g9d06c3a | 8.2 MB | : 100% 1.0/1 [00:03<00:00, 3.12s/it]
xorg-kbproto-1.0.7 | 26 KB | : 100% 1.0/1 [00:00<00:00, 16.53it/s]
llvmlite-0.31.0 | 337 KB | : 100% 1.0/1 [00:00<00:00, 9.32it/s]
libhwloc-2.1.0 | 2.7 MB | : 100% 1.0/1 [00:00<00:00, 2.16it/s]
parquet-cpp-1.5.1 | 3 KB | : 100% 1.0/1 [00:00<00:00, 20.85it/s]
nvstrings-0.12.0 | 129 KB | : 100% 1.0/1 [00:00<00:00, 1.26it/s]
pyarrow-0.15.0 | 3.2 MB | : 100% 1.0/1 [00:00<00:00, 1.03it/s]
gettext-0.19.8.1 | 3.6 MB | : 100% 1.0/1 [00:01<00:00, 1.18s/it]
heapdict-1.0.1 | 7 KB | : 100% 1.0/1 [00:00<00:00, 25.66it/s]
kealib-1.4.10 | 173 KB | : 100% 1.0/1 [00:00<00:00, 13.72it/s]
pillow-7.0.0 | 647 KB | : 100% 1.0/1 [00:00<00:00, 4.59it/s]
pip-20.0.2 | 1.0 MB | : 100% 1.0/1 [00:00<00:00, 2.69it/s]
pytz-2019.3 | 237 KB | : 100% 1.0/1 [00:00<00:00, 4.40it/s]
libcblas-3.8.0 | 10 KB | : 100% 1.0/1 [00:00<00:00, 26.79it/s]
google-auth-oauthlib | 18 KB | : 100% 1.0/1 [00:00<00:00, 28.22it/s]
numpy-1.18.1 | 5.2 MB | : 100% 1.0/1 [00:01<00:00, 1.14s/it]
nccl-2.4.6.1 | 66.5 MB | : 100% 1.0/1 [00:11<00:00, 11.29s/it]
hdf4-4.2.13 | 964 KB | : 100% 1.0/1 [00:00<00:00, 4.33it/s]
xorg-xproto-7.0.31 | 72 KB | : 100% 1.0/1 [00:00<00:00, 19.19it/s]
xorg-libxext-1.3.4 | 51 KB | : 100% 1.0/1 [00:00<00:00, 24.69it/s]
xorg-libxau-1.0.9 | 13 KB | : 100% 1.0/1 [00:00<00:00, 30.76it/s]
psutil-5.7.0 | 325 KB | : 100% 1.0/1 [00:00<00:00, 8.55it/s]
double-conversion-3. | 85 KB | : 100% 1.0/1 [00:00<00:00, 17.94it/s]
xgboost-0.90.rapidsd | 12 KB | : 100% 1.0/1 [00:01<00:00, 1.16s/it]
distributed-2.11.0 | 986 KB | : 100% 1.0/1 [00:00<00:00, 3.16it/s]
bokeh-1.4.0 | 13.5 MB | : 100% 1.0/1 [00:03<00:00, 3.78s/it]
tblib-1.6.0 | 14 KB | : 100% 1.0/1 [00:00<00:00, 25.31it/s]
arrow-cpp-0.15.0 | 18.1 MB | : 100% 1.0/1 [00:03<00:00, 3.13s/it]
pandas-0.25.3 | 11.4 MB | : 100% 1.0/1 [00:02<00:00, 2.70s/it]
proj-6.3.0 | 10.3 MB | : 100% 1.0/1 [00:01<00:00, 1.55s/it]
requests-oauthlib-1. | 19 KB | : 100% 1.0/1 [00:00<00:00, 26.59it/s]
libspatialite-4.3.0a | 3.1 MB | : 100% 1.0/1 [00:00<00:00, 1.80it/s]
jinja2-2.11.1 | 94 KB | : 100% 1.0/1 [00:00<00:00, 14.06it/s]
giflib-5.1.7 | 455 KB | : 100% 1.0/1 [00:00<00:00, 8.16it/s]
pyopenssl-19.1.0 | 47 KB | : 100% 1.0/1 [00:00<00:00, 19.66it/s]
ucx-py-0.12.0+g9d06c | 270 KB | : 100% 1.0/1 [00:01<00:00, 1.04s/it]
tk-8.6.10 | 3.2 MB | : 100% 1.0/1 [00:00<00:00, 1.53it/s]
readline-8.0 | 441 KB | : 100% 1.0/1 [00:00<00:00, 8.64it/s]
poppler-data-0.4.9 | 3.4 MB | : 100% 1.0/1 [00:00<00:00, 1.56it/s]
uriparser-0.9.3 | 49 KB | : 100% 1.0/1 [00:00<00:00, 5.41it/s]
xorg-libice-1.0.10 | 57 KB | : 100% 1.0/1 [00:00<00:00, 22.85it/s]
dlpack-0.2 | 13 KB | : 100% 1.0/1 [00:00<00:00, 27.05it/s]
pcre-8.44 | 261 KB | : 100% 1.0/1 [00:00<00:00, 12.12it/s]
libgcc-ng-9.2.0 | 8.2 MB | : 100% 1.0/1 [00:01<00:00, 1.38s/it]
cupy-7.2.0 | 15.2 MB | : 100% 1.0/1 [00:03<00:00, 3.48s/it]
xorg-libsm-1.2.3 | 25 KB | : 100% 1.0/1 [00:00<00:00, 25.89it/s]
cytoolz-0.10.1 | 431 KB | : 100% 1.0/1 [00:00<00:00, 5.38it/s]
expat-2.2.9 | 191 KB | : 100% 1.0/1 [00:00<00:00, 12.09it/s]
xorg-libxdmcp-1.1.3 | 18 KB | : 100% 1.0/1 [00:00<00:00, 29.08it/s]
brotli-1.0.7 | 1.0 MB | : 100% 1.0/1 [00:00<00:00, 5.29it/s]
librmm-0.12.0 | 53 KB | : 100% 1.0/1 [00:01<00:00, 1.21s/it]
decorator-4.4.1 | 11 KB | : 100% 1.0/1 [00:00<00:00, 20.83it/s]
libopenblas-0.3.8 | 7.8 MB | : 100% 1.0/1 [00:01<00:00, 1.34s/it]
cachetools-3.1.1 | 11 KB | : 100% 1.0/1 [00:00<00:00, 31.12it/s]
gcsfs-0.6.0 | 19 KB | : 100% 1.0/1 [00:00<00:00, 23.22it/s]
libiconv-1.15 | 2.0 MB | : 100% 1.0/1 [00:00<00:00, 3.63it/s]
geos-3.8.0 | 1.0 MB | : 100% 1.0/1 [00:00<00:00, 2.50it/s]
blinker-1.4 | 13 KB | : 100% 1.0/1 [00:00<00:00, 23.26it/s]
xz-5.2.4 | 366 KB | : 100% 1.0/1 [00:00<00:00, 8.49it/s]
pyasn1-0.4.8 | 53 KB | : 100% 1.0/1 [00:00<00:00, 16.65it/s]
requests-2.23.0 | 85 KB | : 100% 1.0/1 [00:00<00:00, 18.55it/s]
postgresql-12.2 | 5.0 MB | : 100% 1.0/1 [00:00<00:00, 1.14it/s]
partd-1.1.0 | 17 KB | : 100% 1.0/1 [00:00<00:00, 18.62it/s]
cuspatial-0.12.0 | 574 KB | : 100% 1.0/1 [00:00<00:00, 1.39it/s]
libnetcdf-4.7.3 | 1.3 MB | : 100% 1.0/1 [00:00<00:00, 3.14it/s]
gdal-2.4.4 | 1.4 MB | : 100% 1.0/1 [00:00<00:00, 3.62it/s]
yaml-0.2.2 | 82 KB | : 100% 1.0/1 [00:00<00:00, 21.33it/s]
olefile-0.46 | 31 KB | : 100% 1.0/1 [00:00<00:00, 26.41it/s]
scipy-1.4.1 | 18.9 MB | : 100% 1.0/1 [00:03<00:00, 3.37s/it]
geotiff-1.5.1 | 279 KB | : 100% 1.0/1 [00:00<00:00, 9.98it/s]
pysocks-1.7.1 | 27 KB | : 100% 1.0/1 [00:00<00:00, 26.02it/s]
chardet-3.0.4 | 190 KB | : 100% 1.0/1 [00:00<00:00, 10.85it/s]
poppler-0.67.0 | 8.9 MB | : 100% 1.0/1 [00:01<00:00, 1.49s/it]
cffi-1.13.2 | 220 KB | : 100% 1.0/1 [00:00<00:00, 13.64it/s]
bzip2-1.0.8 | 396 KB | : 100% 1.0/1 [00:00<00:00, 10.22it/s]
libcurl-7.68.0 | 564 KB | : 100% 1.0/1 [00:00<00:00, 7.30it/s]
liblapack-3.8.0 | 10 KB | : 100% 1.0/1 [00:00<00:00, 32.22it/s]
libblas-3.8.0 | 10 KB | : 100% 1.0/1 [00:00<00:00, 34.60it/s]
dask-2.11.0 | 4 KB | : 100% 1.0/1 [00:00<00:00, 37.04it/s]
libpng-1.6.37 | 343 KB | : 100% 1.0/1 [00:00<00:00, 10.62it/s]
libffi-3.2.1 | 46 KB | : 100% 1.0/1 [00:00<00:00, 27.55it/s]
glog-0.4.0 | 104 KB | : 100% 1.0/1 [00:00<00:00, 18.66it/s]
markupsafe-1.1.1 | 26 KB | : 100% 1.0/1 [00:00<00:00, 30.82it/s]
sqlite-3.30.1 | 2.0 MB | : 100% 1.0/1 [00:00<00:00, 3.14it/s]
libnvstrings-0.12.0 | 30.1 MB | : 100% 1.0/1 [00:08<00:00, 8.30s/it]
libedit-3.1.20170329 | 172 KB | : 100% 1.0/1 [00:00<00:00, 13.02it/s]
lz4-c-1.8.3 | 187 KB | : 100% 1.0/1 [00:00<00:00, 12.34it/s]
numba-0.48.0 | 3.4 MB | : 100% 1.0/1 [00:00<00:00, 1.01it/s]
pixman-0.38.0 | 594 KB | : 100% 1.0/1 [00:00<00:00, 8.65it/s]
libcuspatial-0.12.0 | 1.6 MB | : 100% 1.0/1 [00:01<00:00, 1.84s/it]
certifi-2019.11.28 | 149 KB | : 100% 1.0/1 [00:00<00:00, 15.65it/s]
libxcb-1.13 | 396 KB | : 100% 1.0/1 [00:00<00:00, 6.60it/s]
libkml-1.3.0 | 643 KB | : 100% 1.0/1 [00:00<00:00, 4.96it/s]
re2-2020.01.01 | 422 KB | : 100% 1.0/1 [00:00<00:00, 6.11it/s]
libpq-12.2 | 2.6 MB | : 100% 1.0/1 [00:00<00:00, 1.26it/s]
zstd-1.4.3 | 935 KB | : 100% 1.0/1 [00:00<00:00, 5.99it/s]
rsa-4.0 | 27 KB | : 100% 1.0/1 [00:00<00:00, 19.07it/s]
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locket-0.2.0 | 6 KB | : 100% 1.0/1 [00:00<00:00, 29.93it/s]
py-xgboost-0.90.rapi | 87 KB | : 100% 1.0/1 [00:01<00:00, 1.31s/it]
cuml-0.12.0 | 9.1 MB | : 100% 1.0/1 [00:02<00:00, 2.32s/it]
pyyaml-5.3 | 185 KB | : 100% 1.0/1 [00:00<00:00, 14.76it/s]
joblib-0.14.1 | 198 KB | : 100% 1.0/1 [00:00<00:00, 9.29it/s]
libcuml-0.12.0 | 51.8 MB | : 100% 1.0/1 [00:11<00:00, 11.66s/it]
curl-7.68.0 | 137 KB | : 100% 1.0/1 [00:00<00:00, 20.10it/s]
snappy-1.1.8 | 39 KB | : 100% 1.0/1 [00:00<00:00, 23.65it/s]
dask-core-2.11.0 | 592 KB | : 100% 1.0/1 [00:00<00:00, 4.07it/s]
urllib3-1.25.7 | 160 KB | : 100% 1.0/1 [00:00<00:00, 7.70it/s]
wheel-0.34.2 | 24 KB | : 100% 1.0/1 [00:00<00:00, 21.98it/s]
sortedcontainers-2.1 | 25 KB | : 100% 1.0/1 [00:00<00:00, 27.12it/s]
fastrlock-0.4 | 32 KB | : 100% 1.0/1 [00:00<00:00, 19.50it/s]
cudnn-7.6.0 | 216.6 MB | : 100% 1.0/1 [00:34<00:00, 34.09s/it]
llvm-openmp-9.0.1 | 782 KB | : 100% 1.0/1 [00:00<00:00, 6.52it/s]
pthread-stubs-0.4 | 5 KB | : 100% 1.0/1 [00:00<00:00, 24.58it/s]
pyasn1-modules-0.2.7 | 60 KB | : 100% 1.0/1 [00:00<00:00, 15.30it/s]
dask-cudf-0.12.0 | 70 KB | : 100% 1.0/1 [00:01<00:00, 4.66s/it]
Preparing transaction: \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ done
Verifying transaction: / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - done
Executing transaction: | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | done
Copying shared object files to /usr/lib
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Your Google Colab instance has RAPIDS installed!
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Let us check on those pyarrow and cffi versions...
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unloaded pyarrow 0.14.1
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loaded pyarrow 0.15.0
You're now running pyarrow 0.15.0 and are good to go!
unloaded cffi 1.14.0
loaded cffi 1.13.2