rapidsai-community / rapidsai-csp-utils

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ImportError: cannot import name 'six' when using stable on colabs #17

Closed Sparrow0hawk closed 4 years ago

Sparrow0hawk commented 4 years ago

I'm trying to get RAPIDS working on google colabs but on import cudf i get an import error.

Steps to reproduce

Set up

Start colab session.

Connect to GPU runtime, in this instance I was allocated Tesla K80.

Install rapids

# 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())

Cloning into 'rapidsai-csp-utils'... remote: Enumerating objects: 103, done. remote: Counting objects: 100% (103/103), done. remote: Compressing objects: 100% (101/101), done. remote: Total 103 (delta 21), reused 14 (delta 1), pack-reused 0 Receiving objects: 100% (103/103), 30.32 KiB | 195.00 KiB/s, done. Resolving deltas: 100% (21/21), done. 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! Starting to prep Colab for install RAPIDS Version 0.13 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 --2020-05-28 14:31:42-- 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... 301 Moved Permanently Location: https://repo.anaconda.com/miniconda/Miniconda3-4.5.4-Linux-x86_64.sh [following] --2020-05-28 14:31:42-- https://repo.anaconda.com/miniconda/Miniconda3-4.5.4-Linux-x86_64.sh Resolving repo.anaconda.com (repo.anaconda.com)... 104.16.131.3, 104.16.130.3, 2606:4700::6810:8303, ... Connecting to repo.anaconda.com (repo.anaconda.com)|104.16.131.3|: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 124MB/s in 0.4s

2020-05-28 14:31:42 (124 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
---------------------------|-----------------
_openmp_mutex-4.5          |            0_gnu         435 KB  conda-forge
setuptools-47.1.0          |   py36h9f0ad1d_0         636 KB  conda-forge
ca-certificates-2020.4.5.1 |       hecc5488_0         146 KB  conda-forge
tk-8.6.10                  |       hed695b0_0         3.2 MB  conda-forge
xz-5.2.5                   |       h516909a_0         430 KB  conda-forge
libgcc-ng-9.2.0            |       h24d8f2e_2         8.2 MB  conda-forge
libgomp-9.2.0              |       h24d8f2e_2         816 KB  conda-forge
zlib-1.2.11                |    h516909a_1006         105 KB  conda-forge
certifi-2020.4.5.1         |   py36h9f0ad1d_0         151 KB  conda-forge
ld_impl_linux-64-2.34      |       h53a641e_4         616 KB  conda-forge
python-3.6.10              |h8356626_1011_cpython        34.1 MB  conda-forge
ncurses-6.1                |    hf484d3e_1002         1.3 MB  conda-forge
pip-20.1.1                 |             py_1         1.1 MB  conda-forge
libffi-3.2.1               |    he1b5a44_1007          47 KB  conda-forge
openssl-1.1.1g             |       h516909a_0         2.1 MB  conda-forge
libstdcxx-ng-9.2.0         |       hdf63c60_2         4.5 MB  conda-forge
readline-8.0               |       hf8c457e_0         441 KB  conda-forge
wheel-0.34.2               |             py_1          24 KB  conda-forge
sqlite-3.30.1              |       hcee41ef_0         2.0 MB  conda-forge
_libgcc_mutex-0.1          |      conda_forge           3 KB  conda-forge
python_abi-3.6             |          1_cp36m           4 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_4   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             --> 1.1.1g-h516909a_0            conda-forge
pip:              10.0.1-py36_0                 --> 20.1.1-py_1                  conda-forge
python:           3.6.5-hc3d631a_2              --> 3.6.10-h8356626_1011_cpython conda-forge
readline:         7.0-ha6073c6_4                --> 8.0-hf8c457e_0               conda-forge
setuptools:       39.2.0-py36_0                 --> 47.1.0-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 _openmp_mutex-4.5 | 435 KB | : 100% 1.0/1 [00:00<00:00, 13.04it/s] setuptools-47.1.0 | 636 KB | : 100% 1.0/1 [00:00<00:00, 4.85it/s]
ca-certificates-2020 | 146 KB | : 100% 1.0/1 [00:00<00:00, 23.15it/s] tk-8.6.10 | 3.2 MB | : 100% 1.0/1 [00:00<00:00, 1.61it/s]
xz-5.2.5 | 430 KB | : 100% 1.0/1 [00:00<00:00, 7.68it/s]
libgcc-ng-9.2.0 | 8.2 MB | : 100% 1.0/1 [00:01<00:00, 1.16s/it]
libgomp-9.2.0 | 816 KB | : 100% 1.0/1 [00:00<00:00, 6.33it/s]
zlib-1.2.11 | 105 KB | : 100% 1.0/1 [00:00<00:00, 21.06it/s] certifi-2020.4.5.1 | 151 KB | : 100% 1.0/1 [00:00<00:00, 20.08it/s] ld_impl_linux-64-2.3 | 616 KB | : 100% 1.0/1 [00:00<00:00, 6.84it/s]
python-3.6.10 | 34.1 MB | : 100% 1.0/1 [00:04<00:00, 4.84s/it]
ncurses-6.1 | 1.3 MB | : 100% 1.0/1 [00:00<00:00, 1.26it/s]
pip-20.1.1 | 1.1 MB | : 100% 1.0/1 [00:00<00:00, 3.16it/s]
libffi-3.2.1 | 47 KB | : 100% 1.0/1 [00:00<00:00, 25.64it/s] openssl-1.1.1g | 2.1 MB | : 100% 1.0/1 [00:00<00:00, 2.33it/s]
libstdcxx-ng-9.2.0 | 4.5 MB | : 100% 1.0/1 [00:00<00:00, 1.55it/s]
readline-8.0 | 441 KB | : 100% 1.0/1 [00:00<00:00, 9.30it/s] wheel-0.34.2 | 24 KB | : 100% 1.0/1 [00:00<00:00, 19.40it/s] sqlite-3.30.1 | 2.0 MB | : 100% 1.0/1 [00:00<00:00, 3.34it/s]
_libgcc_mutex-0.1 | 3 KB | : 100% 1.0/1 [00:00<00:00, 36.58it/s] python_abi-3.6 | 4 KB | : 100% 1.0/1 [00:00<00:00, 38.29it/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: 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:

  • cudatoolkit=10.0
  • cudf=0.13
  • cugraph
  • cuml
  • cusignal
  • cuspatial
  • dask-cudf
  • gcsfs
  • pynvml
  • python=3.6
  • xgboost=1.0.2dev.rapidsai0.13

The following packages will be downloaded:

package                    |            build
---------------------------|-----------------
decorator-4.4.2            |             py_0          11 KB  conda-forge
scikit-learn-0.23.1        |   py36h0e1014b_0         6.8 MB  conda-forge
libcuspatial-0.13.0        |       cuda10.0_0         1.7 MB  rapidsai/label/main
olefile-0.46               |             py_0          31 KB  conda-forge
libnetcdf-4.7.4            |nompi_h9f9fd6a_101         1.3 MB  conda-forge
pyopenssl-19.1.0           |             py_1          47 KB  conda-forge
lz4-c-1.8.3                |    he1b5a44_1001         187 KB  conda-forge
nccl-2.5.7.1               |       hd6f8bf8_0        96.6 MB  conda-forge
jpeg-9c                    |    h14c3975_1001         251 KB  conda-forge
locket-0.2.0               |             py_2           6 KB  conda-forge
py-xgboost-1.0.2dev.rapidsai0.13|   cuda10.0py36_6         100 KB  rapidsai/label/main
libblas-3.8.0              |      14_openblas          10 KB  conda-forge
glib-2.64.3                |       h6f030ca_0         3.4 MB  conda-forge
freexl-1.0.5               |    h14c3975_1002          43 KB  conda-forge
xorg-libice-1.0.10         |       h516909a_0          57 KB  conda-forge
pynvml-8.0.4               |             py_0          31 KB  conda-forge
libcuml-0.13.0             |       cuda10.0_0        51.6 MB  rapidsai/label/main
libxgboost-1.0.2dev.rapidsai0.13|       cuda10.0_6        21.9 MB  rapidsai/label/main
hdf5-1.10.5                |nompi_h3c11f04_1104         3.1 MB  conda-forge
pyyaml-5.1.2               |   py36h516909a_0         184 KB  conda-forge
scipy-1.4.1                |   py36h2d22cac_3        18.9 MB  conda-forge
curl-7.69.1                |       h33f0ec9_0         137 KB  conda-forge
libdap4-3.20.6             |       h1d1bd15_0        18.2 MB  conda-forge
giflib-5.2.1               |       h516909a_2          80 KB  conda-forge
cuml-0.13.0                |  cuda10.0_py36_0         9.2 MB  rapidsai/label/main
numba-0.49.1               |   py36h830a2c2_0         3.5 MB  conda-forge
rsa-4.0                    |             py_0          27 KB  conda-forge
libspatialite-4.3.0a       |    h2482549_1038         3.1 MB  conda-forge
llvmlite-0.32.0            |   py36hfa65bc7_0         323 KB  conda-forge
cachetools-4.1.0           |             py_1          12 KB  conda-forge
geos-3.8.1                 |       he1b5a44_0         1.0 MB  conda-forge
uriparser-0.9.3            |       he1b5a44_1          49 KB  conda-forge
pandas-0.25.3              |   py36hb3f55d8_0        11.4 MB  conda-forge
joblib-0.15.1              |             py_0         202 KB  conda-forge
numpy-1.17.5               |   py36h95a1406_0         5.2 MB  conda-forge
xorg-renderproto-0.11.1    |    h14c3975_1002           8 KB  conda-forge
libgdal-2.4.4              |       h5439ffd_1        18.6 MB  conda-forge
boost-cpp-1.70.0           |       h8e57a91_2        21.1 MB  conda-forge
libkml-1.3.0               |    h4fcabce_1010         643 KB  conda-forge
libpq-12.2                 |       h5513abc_1         2.6 MB  conda-forge
cudf-0.13.0                |           py36_0        32.6 MB  rapidsai/label/main
xorg-libx11-1.6.9          |       h516909a_0         918 KB  conda-forge
geotiff-1.5.1              |      h05acad5_10         279 KB  conda-forge
re2-2020.04.01             |       he1b5a44_0         438 KB  conda-forge
packaging-20.4             |     pyh9f0ad1d_0          32 KB  conda-forge
krb5-1.17.1                |       h2fd8d38_0         1.5 MB  conda-forge
kealib-1.4.13              |       hec59c27_0         172 KB  conda-forge
nvstrings-0.13.0           |           py36_0         129 KB  rapidsai/label/main
arrow-cpp-0.15.0           |   py36h090bef1_2        18.1 MB  conda-forge
cugraph-0.13.0             |           py36_0         7.3 MB  rapidsai/label/main
pyparsing-2.4.7            |     pyh9f0ad1d_0          60 KB  conda-forge
libcumlprims-0.13.0        |       cuda10.0_0         3.3 MB  nvidia
parquet-cpp-1.5.1          |                2           3 KB  conda-forge
brotli-1.0.7               |    he1b5a44_1002         1.0 MB  conda-forge
bzip2-1.0.8                |       h516909a_2         396 KB  conda-forge
grpc-cpp-1.23.0            |       h18db393_0         4.5 MB  conda-forge
pillow-7.1.2               |   py36h8328e55_0         656 KB  conda-forge
boost-1.70.0               |   py36h9de70de_1         337 KB  conda-forge
libcblas-3.8.0             |      14_openblas          10 KB  conda-forge
pyarrow-0.15.0             |   py36h8b68381_1         3.2 MB  conda-forge
xorg-xextproto-7.3.0       |    h14c3975_1002          27 KB  conda-forge
cloudpickle-1.4.1          |             py_0          24 KB  conda-forge
libcudf-0.13.0             |       cuda10.0_0       136.5 MB  rapidsai/label/main
libssh2-1.9.0              |       hab1572f_2         298 KB  conda-forge
openjpeg-2.3.1             |       h981e76c_3         475 KB  conda-forge
pcre-8.44                  |       he1b5a44_0         261 KB  conda-forge
pytz-2020.1                |     pyh9f0ad1d_0         227 KB  conda-forge
poppler-data-0.4.9         |                1         3.4 MB  conda-forge
libxcb-1.13                |    h14c3975_1002         396 KB  conda-forge
python-dateutil-2.8.1      |             py_0         220 KB  conda-forge
freetype-2.10.2            |       he06d7ca_0         905 KB  conda-forge
sortedcontainers-2.1.0     |             py_0          25 KB  conda-forge
xorg-kbproto-1.0.7         |    h14c3975_1002          26 KB  conda-forge
libprotobuf-3.8.0          |       h8b12597_0         4.7 MB  conda-forge
bokeh-2.0.1                |   py36h9f0ad1d_0         6.8 MB  conda-forge
zict-2.0.0                 |             py_0          10 KB  conda-forge
liblapack-3.8.0            |      14_openblas          10 KB  conda-forge
ucx-py-0.13.0+g9d06c3a     |           py36_0         287 KB  rapidsai/label/main
pthread-stubs-0.4          |    h14c3975_1001           5 KB  conda-forge
glog-0.4.0                 |       h49b9bf7_3         104 KB  conda-forge
xorg-libsm-1.2.3           |    h84519dc_1000          25 KB  conda-forge
libtiff-4.1.0              |       hfc65ed5_0         595 KB  conda-forge
blinker-1.4                |             py_1          13 KB  conda-forge
libcurl-7.69.1             |       hf7181ac_0         573 KB  conda-forge
immutables-0.14            |   py36h8c4c3a4_0          68 KB  conda-forge
xorg-libxdmcp-1.1.3        |       h516909a_0          18 KB  conda-forge
threadpoolctl-2.0.0        |     pyh5ca1d4c_0          14 KB  conda-forge
gettext-0.19.8.1           |    hc5be6a0_1002         3.6 MB  conda-forge
libhwloc-2.1.0             |       h3c4fd83_0         2.7 MB  conda-forge
json-c-0.13.1              |    hbfbb72e_1002          76 KB  conda-forge
fastavro-0.23.4            |   py36h8c4c3a4_0         415 KB  conda-forge
click-7.1.2                |     pyh9f0ad1d_0          64 KB  conda-forge
zstd-1.4.3                 |       h3b9ef0a_0         935 KB  conda-forge
typing_extensions-3.7.4.2  |             py_0          25 KB  conda-forge
cfitsio-3.470              |       h3eac812_5         1.3 MB  conda-forge
contextvars-2.4            |             py_0          11 KB  conda-forge
gflags-2.2.2               |    he1b5a44_1002         175 KB  conda-forge
fsspec-0.6.3               |             py_0          48 KB  conda-forge
gcsfs-0.6.2                |             py_0          19 KB  conda-forge
libgfortran-ng-7.5.0       |       hdf63c60_6         1.7 MB  conda-forge
dask-core-2.17.0           |             py_0         612 KB  conda-forge
hdf4-4.2.13                |    hf30be14_1003         964 KB  conda-forge
tblib-1.6.0                |             py_0          14 KB  conda-forge
distributed-2.17.0         |   py36h9f0ad1d_0         1.0 MB  conda-forge
expat-2.2.9                |       he1b5a44_2         191 KB  conda-forge
libpng-1.6.37              |       hed695b0_1         308 KB  conda-forge
cryptography-2.9.2         |   py36h45558ae_0         613 KB  conda-forge
dask-cudf-0.13.0           |           py36_0          76 KB  rapidsai/label/main
jinja2-2.11.2              |     pyh9f0ad1d_0          93 KB  conda-forge
libevent-2.1.10            |       h72c5cf5_0         1.3 MB  conda-forge
requests-oauthlib-1.2.0    |             py_0          19 KB  conda-forge
oauthlib-3.0.1             |             py_0          82 KB  conda-forge
icu-64.2                   |       he1b5a44_1        12.6 MB  conda-forge
cytoolz-0.10.1             |   py36h516909a_0         431 KB  conda-forge
libnvstrings-0.13.0        |       cuda10.0_0        29.6 MB  rapidsai/label/main
xorg-libxext-1.3.4         |       h516909a_0          51 KB  conda-forge
libiconv-1.15              |    h516909a_1006         2.0 MB  conda-forge
libxml2-2.9.10             |       hee79883_0         1.3 MB  conda-forge
double-conversion-3.1.5    |       he1b5a44_2          85 KB  conda-forge
xorg-libxau-1.0.9          |       h14c3975_0          13 KB  conda-forge
rmm-0.13.0                 |           py36_0         687 KB  rapidsai/label/main
pixman-0.38.0              |    h516909a_1003         594 KB  conda-forge
xorg-libxrender-0.9.10     |    h516909a_1002          31 KB  conda-forge
requests-2.23.0            |     pyh8c360ce_2          47 KB  conda-forge
cudatoolkit-10.0.130       |                0       380.0 MB  nvidia
xorg-xproto-7.0.31         |    h14c3975_1007          72 KB  conda-forge
libuuid-2.32.1             |    h14c3975_1000          26 KB  conda-forge
ucx-1.7.0+g9d06c3a         |       cuda10.0_0         8.2 MB  rapidsai/label/main
partd-1.1.0                |             py_0          17 KB  conda-forge
brotlipy-0.7.0             |py36h8c4c3a4_1000         346 KB  conda-forge
tornado-6.0.4              |   py36h8c4c3a4_1         639 KB  conda-forge
proj-7.0.0                 |       h966b41f_4         3.7 MB  conda-forge
toolz-0.10.0               |             py_0          46 KB  conda-forge
dlpack-0.2                 |       he1b5a44_1          13 KB  conda-forge
librmm-0.13.0              |       cuda10.0_0          70 KB  rapidsai/label/main
postgresql-12.2            |       h8573dbc_1         5.0 MB  conda-forge
xgboost-1.0.2dev.rapidsai0.13|   cuda10.0py36_6          12 KB  rapidsai/label/main
cudnn-7.6.0                |       cuda10.0_0       216.6 MB  nvidia
markupsafe-1.1.1           |   py36h8c4c3a4_1          26 KB  conda-forge
psutil-5.7.0               |   py36h8c4c3a4_1         324 KB  conda-forge
gdal-2.4.4                 |   py36hbb8311d_1         1.2 MB  conda-forge
tzcode-2020a               |       h516909a_0         425 KB  conda-forge
cupy-7.4.0                 |   py36h273e724_3        14.7 MB  conda-forge
fontconfig-2.13.1          |    h86ecdb6_1001         340 KB  conda-forge
dask-2.17.0                |             py_0           4 KB  conda-forge
c-ares-1.15.0              |    h516909a_1001         100 KB  conda-forge
cuspatial-0.13.0           |           py36_0         1.7 MB  rapidsai/label/main
google-auth-1.14.3         |     pyh9f0ad1d_0          54 KB  conda-forge
libopenblas-0.3.7          |       h5ec1e0e_6         7.6 MB  conda-forge
cairo-1.16.0               |    hcf35c78_1003         1.5 MB  conda-forge
xerces-c-3.2.2             |    h8412b87_1004         1.7 MB  conda-forge
fastrlock-0.4              |py36h831f99a_1001          32 KB  conda-forge
snappy-1.1.8               |       he1b5a44_1          39 KB  conda-forge
pyasn1-modules-0.2.7       |             py_0          60 KB  conda-forge
cusignal-0.13.0            |           py36_0          67 KB  rapidsai/label/main
pyasn1-0.4.8               |             py_0          53 KB  conda-forge
libcugraph-0.13.0          |       cuda10.0_0        40.0 MB  rapidsai/label/main
thrift-cpp-0.12.0          |    hf3afdfd_1004         2.4 MB  conda-forge
urllib3-1.25.9             |             py_0          92 KB  conda-forge
msgpack-python-1.0.0       |   py36hdb11119_1          91 KB  conda-forge
google-auth-oauthlib-0.4.1 |             py_2          18 KB  conda-forge
libllvm8-8.0.1             |       hc9558a2_0        23.2 MB  conda-forge
heapdict-1.0.1             |             py_0           7 KB  conda-forge
pyjwt-1.7.1                |             py_0          17 KB  conda-forge
poppler-0.67.0             |       h14e79db_8         8.9 MB  conda-forge
------------------------------------------------------------
                                       Total:        1.28 GB

The following NEW packages will be INSTALLED:

arrow-cpp:            0.15.0-py36h090bef1_2                conda-forge        
blinker:              1.4-py_1                             conda-forge        
bokeh:                2.0.1-py36h9f0ad1d_0                 conda-forge        
boost:                1.70.0-py36h9de70de_1                conda-forge        
boost-cpp:            1.70.0-h8e57a91_2                    conda-forge        
brotli:               1.0.7-he1b5a44_1002                  conda-forge        
brotlipy:             0.7.0-py36h8c4c3a4_1000              conda-forge        
bzip2:                1.0.8-h516909a_2                     conda-forge        
c-ares:               1.15.0-h516909a_1001                 conda-forge        
cachetools:           4.1.0-py_1                           conda-forge        
cairo:                1.16.0-hcf35c78_1003                 conda-forge        
cfitsio:              3.470-h3eac812_5                     conda-forge        
click:                7.1.2-pyh9f0ad1d_0                   conda-forge        
cloudpickle:          1.4.1-py_0                           conda-forge        
contextvars:          2.4-py_0                             conda-forge        
cudatoolkit:          10.0.130-0                           nvidia             
cudf:                 0.13.0-py36_0                        rapidsai/label/main
cudnn:                7.6.0-cuda10.0_0                     nvidia             
cugraph:              0.13.0-py36_0                        rapidsai/label/main
cuml:                 0.13.0-cuda10.0_py36_0               rapidsai/label/main
cupy:                 7.4.0-py36h273e724_3                 conda-forge        
curl:                 7.69.1-h33f0ec9_0                    conda-forge        
cusignal:             0.13.0-py36_0                        rapidsai/label/main
cuspatial:            0.13.0-py36_0                        rapidsai/label/main
cytoolz:              0.10.1-py36h516909a_0                conda-forge        
dask:                 2.17.0-py_0                          conda-forge        
dask-core:            2.17.0-py_0                          conda-forge        
dask-cudf:            0.13.0-py36_0                        rapidsai/label/main
decorator:            4.4.2-py_0                           conda-forge        
distributed:          2.17.0-py36h9f0ad1d_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:             0.23.4-py36h8c4c3a4_0                conda-forge        
fastrlock:            0.4-py36h831f99a_1001                conda-forge        
fontconfig:           2.13.1-h86ecdb6_1001                 conda-forge        
freetype:             2.10.2-he06d7ca_0                    conda-forge        
freexl:               1.0.5-h14c3975_1002                  conda-forge        
fsspec:               0.6.3-py_0                           conda-forge        
gcsfs:                0.6.2-py_0                           conda-forge        
gdal:                 2.4.4-py36hbb8311d_1                 conda-forge        
geos:                 3.8.1-he1b5a44_0                     conda-forge        
geotiff:              1.5.1-h05acad5_10                    conda-forge        
gettext:              0.19.8.1-hc5be6a0_1002               conda-forge        
gflags:               2.2.2-he1b5a44_1002                  conda-forge        
giflib:               5.2.1-h516909a_2                     conda-forge        
glib:                 2.64.3-h6f030ca_0                    conda-forge        
glog:                 0.4.0-h49b9bf7_3                     conda-forge        
google-auth:          1.14.3-pyh9f0ad1d_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        
immutables:           0.14-py36h8c4c3a4_0                  conda-forge        
jinja2:               2.11.2-pyh9f0ad1d_0                  conda-forge        
joblib:               0.15.1-py_0                          conda-forge        
jpeg:                 9c-h14c3975_1001                     conda-forge        
json-c:               0.13.1-hbfbb72e_1002                 conda-forge        
kealib:               1.4.13-hec59c27_0                    conda-forge        
krb5:                 1.17.1-h2fd8d38_0                    conda-forge        
libblas:              3.8.0-14_openblas                    conda-forge        
libcblas:             3.8.0-14_openblas                    conda-forge        
libcudf:              0.13.0-cuda10.0_0                    rapidsai/label/main
libcugraph:           0.13.0-cuda10.0_0                    rapidsai/label/main
libcuml:              0.13.0-cuda10.0_0                    rapidsai/label/main
libcumlprims:         0.13.0-cuda10.0_0                    nvidia             
libcurl:              7.69.1-hf7181ac_0                    conda-forge        
libcuspatial:         0.13.0-cuda10.0_0                    rapidsai/label/main
libdap4:              3.20.6-h1d1bd15_0                    conda-forge        
libevent:             2.1.10-h72c5cf5_0                    conda-forge        
libgdal:              2.4.4-h5439ffd_1                     conda-forge        
libgfortran-ng:       7.5.0-hdf63c60_6                     conda-forge        
libhwloc:             2.1.0-h3c4fd83_0                     conda-forge        
libiconv:             1.15-h516909a_1006                   conda-forge        
libkml:               1.3.0-h4fcabce_1010                  conda-forge        
liblapack:            3.8.0-14_openblas                    conda-forge        
libllvm8:             8.0.1-hc9558a2_0                     conda-forge        
libnetcdf:            4.7.4-nompi_h9f9fd6a_101             conda-forge        
libnvstrings:         0.13.0-cuda10.0_0                    rapidsai/label/main
libopenblas:          0.3.7-h5ec1e0e_6                     conda-forge        
libpng:               1.6.37-hed695b0_1                    conda-forge        
libpq:                12.2-h5513abc_1                      conda-forge        
libprotobuf:          3.8.0-h8b12597_0                     conda-forge        
librmm:               0.13.0-cuda10.0_0                    rapidsai/label/main
libspatialite:        4.3.0a-h2482549_1038                 conda-forge        
libssh2:              1.9.0-hab1572f_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:           1.0.2dev.rapidsai0.13-cuda10.0_6     rapidsai/label/main
libxml2:              2.9.10-hee79883_0                    conda-forge        
llvmlite:             0.32.0-py36hfa65bc7_0                conda-forge        
locket:               0.2.0-py_2                           conda-forge        
lz4-c:                1.8.3-he1b5a44_1001                  conda-forge        
markupsafe:           1.1.1-py36h8c4c3a4_1                 conda-forge        
msgpack-python:       1.0.0-py36hdb11119_1                 conda-forge        
nccl:                 2.5.7.1-hd6f8bf8_0                   conda-forge        
numba:                0.49.1-py36h830a2c2_0                conda-forge        
numpy:                1.17.5-py36h95a1406_0                conda-forge        
nvstrings:            0.13.0-py36_0                        rapidsai/label/main
oauthlib:             3.0.1-py_0                           conda-forge        
olefile:              0.46-py_0                            conda-forge        
openjpeg:             2.3.1-h981e76c_3                     conda-forge        
packaging:            20.4-pyh9f0ad1d_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:               7.1.2-py36h8328e55_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-h8573dbc_1                      conda-forge        
proj:                 7.0.0-h966b41f_4                     conda-forge        
psutil:               5.7.0-py36h8c4c3a4_1                 conda-forge        
pthread-stubs:        0.4-h14c3975_1001                    conda-forge        
py-xgboost:           1.0.2dev.rapidsai0.13-cuda10.0py36_6 rapidsai/label/main
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:            2.4.7-pyh9f0ad1d_0                   conda-forge        
python-dateutil:      2.8.1-py_0                           conda-forge        
pytz:                 2020.1-pyh9f0ad1d_0                  conda-forge        
pyyaml:               5.1.2-py36h516909a_0                 conda-forge        
re2:                  2020.04.01-he1b5a44_0                conda-forge        
requests-oauthlib:    1.2.0-py_0                           conda-forge        
rmm:                  0.13.0-py36_0                        rapidsai/label/main
rsa:                  4.0-py_0                             conda-forge        
scikit-learn:         0.23.1-py36h0e1014b_0                conda-forge        
scipy:                1.4.1-py36h2d22cac_3                 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        
threadpoolctl:        2.0.0-pyh5ca1d4c_0                   conda-forge        
thrift-cpp:           0.12.0-hf3afdfd_1004                 conda-forge        
toolz:                0.10.0-py_0                          conda-forge        
tornado:              6.0.4-py36h8c4c3a4_1                 conda-forge        
typing_extensions:    3.7.4.2-py_0                         conda-forge        
tzcode:               2020a-h516909a_0                     conda-forge        
ucx:                  1.7.0+g9d06c3a-cuda10.0_0            rapidsai/label/main
ucx-py:               0.13.0+g9d06c3a-py36_0               rapidsai/label/main
uriparser:            0.9.3-he1b5a44_1                     conda-forge        
xerces-c:             3.2.2-h8412b87_1004                  conda-forge        
xgboost:              1.0.2dev.rapidsai0.13-cuda10.0py36_6 rapidsai/label/main
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:                 2.0.0-py_0                           conda-forge        
zstd:                 1.4.3-h3b9ef0a_0                     conda-forge        

The following packages will be UPDATED:

cryptography:         2.2.2-py36h14c3975_0                                     --> 2.9.2-py36h45558ae_0 conda-forge
pyopenssl:            18.0.0-py36_0                                            --> 19.1.0-py_1          conda-forge
requests:             2.18.4-py36he2e5f8d_1                                    --> 2.23.0-pyh8c360ce_2  conda-forge
urllib3:              1.22-py36hbe7ace6_0                                      --> 1.25.9-py_0          conda-forge

Downloading and Extracting Packages decorator-4.4.2 | 11 KB | : 100% 1.0/1 [00:00<00:00, 9.99it/s] scikit-learn-0.23.1 | 6.8 MB | : 100% 1.0/1 [00:01<00:00, 1.59s/it]
libcuspatial-0.13.0 | 1.7 MB | : 100% 1.0/1 [00:03<00:00, 3.83s/it]
olefile-0.46 | 31 KB | : 100% 1.0/1 [00:00<00:00, 12.84it/s] libnetcdf-4.7.4 | 1.3 MB | : 100% 1.0/1 [00:00<00:00, 4.09it/s]
pyopenssl-19.1.0 | 47 KB | : 100% 1.0/1 [00:00<00:00, 21.13it/s] lz4-c-1.8.3 | 187 KB | : 100% 1.0/1 [00:00<00:00, 14.25it/s] nccl-2.5.7.1 | 96.6 MB | : 100% 1.0/1 [00:12<00:00, 12.54s/it]
jpeg-9c | 251 KB | : 100% 1.0/1 [00:00<00:00, 11.64it/s] locket-0.2.0 | 6 KB | : 100% 1.0/1 [00:00<00:00, 33.22it/s] py-xgboost-1.0.2dev. | 100 KB | : 100% 1.0/1 [00:02<00:00, 2.05s/it]
libblas-3.8.0 | 10 KB | : 100% 1.0/1 [00:00<00:00, 28.11it/s] glib-2.64.3 | 3.4 MB | : 100% 1.0/1 [00:00<00:00, 1.33it/s]
freexl-1.0.5 | 43 KB | : 100% 1.0/1 [00:00<00:00, 28.01it/s] xorg-libice-1.0.10 | 57 KB | : 100% 1.0/1 [00:00<00:00, 26.68it/s] pynvml-8.0.4 | 31 KB | : 100% 1.0/1 [00:00<00:00, 28.88it/s] libcuml-0.13.0 | 51.6 MB | : 100% 1.0/1 [00:16<00:00, 16.41s/it]
libxgboost-1.0.2dev. | 21.9 MB | : 100% 1.0/1 [00:08<00:00, 8.88s/it]
hdf5-1.10.5 | 3.1 MB | : 100% 1.0/1 [00:00<00:00, 1.78it/s]
pyyaml-5.1.2 | 184 KB | : 100% 1.0/1 [00:00<00:00, 14.78it/s] scipy-1.4.1 | 18.9 MB | : 100% 1.0/1 [00:03<00:00, 3.52s/it]
curl-7.69.1 | 137 KB | : 100% 1.0/1 [00:00<00:00, 22.68it/s] libdap4-3.20.6 | 18.2 MB | : 100% 1.0/1 [00:02<00:00, 2.76s/it]
giflib-5.2.1 | 80 KB | : 100% 1.0/1 [00:00<00:00, 18.64it/s] cuml-0.13.0 | 9.2 MB | : 100% 1.0/1 [00:05<00:00, 5.97s/it]
numba-0.49.1 | 3.5 MB | : 100% 1.0/1 [00:01<00:00, 1.76s/it]
rsa-4.0 | 27 KB | : 100% 1.0/1 [00:00<00:00, 7.84it/s]
libspatialite-4.3.0a | 3.1 MB | : 100% 1.0/1 [00:00<00:00, 1.66it/s]
llvmlite-0.32.0 | 323 KB | : 100% 1.0/1 [00:00<00:00, 10.29it/s] cachetools-4.1.0 | 12 KB | : 100% 1.0/1 [00:00<00:00, 29.59it/s] geos-3.8.1 | 1.0 MB | : 100% 1.0/1 [00:00<00:00, 2.68it/s]
uriparser-0.9.3 | 49 KB | : 100% 1.0/1 [00:00<00:00, 19.16it/s] pandas-0.25.3 | 11.4 MB | : 100% 1.0/1 [00:02<00:00, 2.62s/it]
joblib-0.15.1 | 202 KB | : 100% 1.0/1 [00:00<00:00, 9.96it/s] numpy-1.17.5 | 5.2 MB | : 100% 1.0/1 [00:01<00:00, 1.18s/it]
xorg-renderproto-0.1 | 8 KB | : 100% 1.0/1 [00:00<00:00, 14.55it/s] libgdal-2.4.4 | 18.6 MB | : 100% 1.0/1 [00:06<00:00, 6.19s/it]
boost-cpp-1.70.0 | 21.1 MB | : 100% 1.0/1 [00:08<00:00, 8.96s/it]
libkml-1.3.0 | 643 KB | : 100% 1.0/1 [00:00<00:00, 5.72it/s]
libpq-12.2 | 2.6 MB | : 100% 1.0/1 [00:00<00:00, 1.45it/s]
cudf-0.13.0 | 32.6 MB | : 100% 1.0/1 [00:11<00:00, 11.10s/it]
xorg-libx11-1.6.9 | 918 KB | : 100% 1.0/1 [00:00<00:00, 3.97it/s]
geotiff-1.5.1 | 279 KB | : 100% 1.0/1 [00:00<00:00, 11.93it/s] re2-2020.04.01 | 438 KB | : 100% 1.0/1 [00:00<00:00, 8.62it/s] packaging-20.4 | 32 KB | : 100% 1.0/1 [00:00<00:00, 18.62it/s] krb5-1.17.1 | 1.5 MB | : 100% 1.0/1 [00:00<00:00, 3.10it/s]
kealib-1.4.13 | 172 KB | : 100% 1.0/1 [00:00<00:00, 14.44it/s] nvstrings-0.13.0 | 129 KB | : 100% 1.0/1 [00:02<00:00, 2.04s/it]
arrow-cpp-0.15.0 | 18.1 MB | : 100% 1.0/1 [00:03<00:00, 3.25s/it]
cugraph-0.13.0 | 7.3 MB | : 100% 1.0/1 [00:03<00:00, 3.06s/it]
pyparsing-2.4.7 | 60 KB | : 100% 1.0/1 [00:00<00:00, 18.86it/s] libcumlprims-0.13.0 | 3.3 MB | : 100% 1.0/1 [00:02<00:00, 2.30s/it]
parquet-cpp-1.5.1 | 3 KB | : 100% 1.0/1 [00:00<00:00, 24.81it/s] brotli-1.0.7 | 1.0 MB | : 100% 1.0/1 [00:00<00:00, 5.17it/s]
bzip2-1.0.8 | 396 KB | : 100% 1.0/1 [00:00<00:00, 10.07it/s] grpc-cpp-1.23.0 | 4.5 MB | : 100% 1.0/1 [00:01<00:00, 1.02s/it]
pillow-7.1.2 | 656 KB | : 100% 1.0/1 [00:00<00:00, 4.63it/s]
boost-1.70.0 | 337 KB | : 100% 1.0/1 [00:00<00:00, 6.39it/s]
libcblas-3.8.0 | 10 KB | : 100% 1.0/1 [00:00<00:00, 31.69it/s] pyarrow-0.15.0 | 3.2 MB | : 100% 1.0/1 [00:00<00:00, 1.09it/s]
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Preparing transaction: done Verifying transaction: done Executing transaction: done Copying shared object files to /usr/lib Copying RAPIDS compatible xgboost


Your Google Colab instance has RAPIDS installed!



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


unloaded pyarrow 0.14.1 unloaded pyarrow 0.14.1 unloaded pyarrow 0.14.1 unloaded pyarrow 0.14.1 unloaded pyarrow 0.14.1 unloaded pyarrow 0.14.1 unloaded pyarrow 0.14.1 unloaded pyarrow 0.14.1 unloaded pyarrow 0.14.1 unloaded pyarrow 0.14.1 unloaded pyarrow 0.14.1 unloaded pyarrow 0.14.1 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 1.11.5

All looks good however...

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())

ImportError Traceback (most recent call last)

in () ----> 1 import cudf 2 import io, requests 3 4 # download CSV file from GitHub 5 url="https://github.com/plotly/datasets/raw/master/tips.csv" 3 frames /usr/local/lib/python3.6/site-packages/cudf/__init__.py in () 5 import rmm 6 ----> 7 from cudf import core, datasets 8 from cudf._version import get_versions 9 from cudf.core import DataFrame, Index, MultiIndex, Series, from_pandas, merge /usr/local/lib/python3.6/site-packages/cudf/core/__init__.py in () 3 from cudf.core import buffer, column 4 from cudf.core.buffer import Buffer ----> 5 from cudf.core.dataframe import DataFrame, from_pandas, merge 6 from cudf.core.index import ( 7 CategoricalIndex, /usr/local/lib/python3.6/site-packages/cudf/core/dataframe.py in () 41 from cudf.core.series import Series 42 from cudf.core.window import Rolling ---> 43 from cudf.utils import applyutils, ioutils, queryutils, utils 44 from cudf.utils.docutils import copy_docstring 45 from cudf.utils.dtypes import ( /usr/local/lib/python3.6/site-packages/cudf/utils/applyutils.py in () 4 5 import cupy ----> 6 from numba import cuda, six 7 from numba.utils import exec_, pysignature 8 ImportError: cannot import name 'six'

Any recommendations?

taureandyernv commented 4 years ago

Hey @Sparrow0hawk , I am reproducing the same error right now and looking for a fix. Thanks for bringing it to our attention!

Ahwar commented 4 years ago

ImportError: cannot import name 'six' when using stable and 0.12 on colabs

I had the same issue
I installed numba again with conda install numba with this output

Solving environment: done

## Package Plan ##

  environment location: /usr/local

  added / updated specs: 
    - numba

The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    certifi-2020.4.5.1         |           py36_0         159 KB
    openssl-1.1.1g             |       h7b6447c_0         3.8 MB
    ca-certificates-2020.1.1   |                0         132 KB
    conda-4.8.3                |           py36_0         3.0 MB
    llvmlite-0.32.1            |   py36hd408876_0        17.6 MB
    tqdm-4.46.0                |             py_0          60 KB
    conda-package-handling-1.6.1|   py36h7b6447c_0         886 KB
    numba-0.49.1               |   py36h0573a6f_0         3.5 MB
    ------------------------------------------------------------
                                           Total:        29.2 MB

The following NEW packages will be INSTALLED:

    conda-package-handling: 1.6.1-py36h7b6447c_0                 
    tqdm:                   4.46.0-py_0                          

The following packages will be UPDATED:

    certifi:                2020.4.5.1-py36h9f0ad1d_0 conda-forge --> 2020.4.5.1-py36_0    
    conda:                  4.5.4-py36_0                          --> 4.8.3-py36_0         
    llvmlite:               0.32.0-py36hfa65bc7_0     conda-forge --> 0.32.1-py36hd408876_0
    numba:                  0.49.1-py36h830a2c2_0     conda-forge --> 0.49.1-py36h0573a6f_0
    openssl:                1.1.1g-h516909a_0         conda-forge --> 1.1.1g-h7b6447c_0    

The following packages will be DOWNGRADED:

    ca-certificates:        2020.4.5.1-hecc5488_0     conda-forge --> 2020.1.1-0           

Proceed ([y]/n)? y

Downloading and Extracting Packages
certifi-2020.4.5.1   |  159 KB | : 100% 1.0/1 [00:00<00:00, 15.01it/s]
openssl-1.1.1g       |  3.8 MB | : 100% 1.0/1 [00:00<00:00,  1.63it/s]              
ca-certificates-2020 |  132 KB | : 100% 1.0/1 [00:00<00:00, 27.03it/s]
conda-4.8.3          |  3.0 MB | : 100% 1.0/1 [00:00<00:00,  1.55it/s]               
llvmlite-0.32.1      | 17.6 MB | : 100% 1.0/1 [00:03<00:00,  3.03s/it]               
tqdm-4.46.0          |   60 KB | : 100% 1.0/1 [00:00<00:00, 23.42it/s]
conda-package-handli |  886 KB | : 100% 1.0/1 [00:00<00:00,  6.71it/s]               
numba-0.49.1         |  3.5 MB | : 100% 1.0/1 [00:01<00:00,  1.10s/it]               
Preparing transaction: done
Verifying transaction: done
Executing transaction: done

but now I ran same demo code as you did. but it now gives new error

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-6-a95ca25217db> in <module>()
----> 1 import cudf
      2 import io, requests
      3 
      4 # download CSV file from GitHub
      5 url="https://github.com/plotly/datasets/raw/master/tips.csv"

2 frames
/usr/local/lib/python3.6/site-packages/cudf/core/dataframe.py in <module>()
     23 
     24 import cudf
---> 25 import cudf._lib as libcudf
     26 from cudf.core import column
     27 from cudf.core._sort import get_sorted_inds

AttributeError: module 'cudf' has no attribute '_lib'

when I run this code :

import cuml

# Create and populate a GPU DataFrame
df_float = cudf.DataFrame()
df_float['0'] = [1.0, 2.0, 5.0]
df_float['1'] = [4.0, 2.0, 1.0]
df_float['2'] = [4.0, 2.0, 1.0]

# Setup and fit clusters
dbscan_float = cuml.DBSCAN(eps=1.0, min_samples=1)
dbscan_float.fit(df_float)

print(dbscan_float.labels_)

It gives following error

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-8-435ab46c02e5> in <module>()
----> 1 import cuml
      2 
      3 # Create and populate a GPU DataFrame
      4 df_float = cudf.DataFrame()
      5 df_float['0'] = [1.0, 2.0, 5.0]

/usr/local/lib/python3.6/site-packages/cuml/__init__.py in <module>()
     17 from cuml.common.base import Base
     18 from cuml.common.handle import Handle
---> 19 import cuml.common.cuda as cuda
     20 
     21 from cuml.cluster.dbscan import DBSCAN

AttributeError: module 'cuml' has no attribute 'common'
taureandyernv commented 4 years ago

Hey @Ahwar and @Sparrow0hawk and others, I pushed a PR yesterday that fixes this issue. Thanks for letting us know. It ended up that Numba, between 0.48 to 0.49, was being installed and it is apparently incompatible with RAPIDS 0.12 and 0.13. It works with 0.14. Props to Keith, a member of the team, who figured it out.