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python - import surprise 在 python3 中抛出 ContextualVersionConflict 错误

转载 作者:行者123 更新时间:2023-12-05 07:32:55 26 4
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您好,我安装了 surprise 包,它在 import 时出错(第 3 节中的 errr msg)


  1. conda cmd 中,我安装了 surprise,后来又重新安装了 scipy,因为它在错误消息中。具体如下:

安装 surprise:

(base) C:\Users\yzhang>conda install -c conda-forge scikit-surprise
Solving environment: done

## Package Plan ##

environment location: d:\ProgramData\Anaconda3

added / updated specs:
- scikit-surprise


The following packages will be downloaded:

package | build
---------------------------|-----------------
joblib-0.11 | py36_0 194 KB conda-forge
openssl-1.0.2o | vc14_0 5.4 MB conda-forge
zlib-1.2.11 | vc14_0 119 KB conda-forge
yaml-0.1.7 | vc14_0 103 KB conda-forge
sqlite-3.22.0 | vc14_0 907 KB conda-forge
lzo-2.10 | vc14_0 154 KB conda-forge
libpng-1.6.34 | vc14_0 547 KB conda-forge
krb5-1.14.6 | vc14_0 767 KB conda-forge
libssh2-1.8.0 | vc14_2 184 KB conda-forge
icu-58.2 | vc14_0 21.8 MB conda-forge
bzip2-1.0.6 | vc14_1 144 KB conda-forge
conda-4.5.4 | py36_0 650 KB conda-forge
curl-7.55.1 | vc14_0 339 KB conda-forge
libxml2-2.9.8 | vc14_0 3.2 MB conda-forge
hdf5-1.10.1 | vc14_2 17.9 MB conda-forge
scikit-surprise-1.0.6 | py36_0 589 KB conda-forge
qt-5.6.2 | vc14_1 55.6 MB conda-forge
libiconv-1.15 | vc14_0 682 KB conda-forge
jpeg-9b | vc14_2 314 KB conda-forge
zeromq-4.2.5 | vc14_1 9.6 MB conda-forge
freetype-2.8.1 | vc14_0 469 KB conda-forge
libxslt-1.1.32 | vc14_0 456 KB conda-forge
certifi-2018.4.16 | py36_0 143 KB conda-forge
libsodium-1.0.16 | vc14_0 582 KB conda-forge
libtiff-4.0.9 | vc14_0 616 KB conda-forge
tk-8.6.7 | vc14_0 3.5 MB conda-forge
ca-certificates-2018.4.16 | 0 176 KB conda-forge
------------------------------------------------------------
Total: 124.9 MB

The following NEW packages will be INSTALLED:

joblib: 0.11-py36_0 conda-forge
krb5: 1.14.6-vc14_0 conda-forge [vc14]
scikit-surprise: 1.0.6-py36_0 conda-forge

The following packages will be UPDATED:

bzip2: 1.0.6-vc14hdec8e7a_1 --> 1.0.6-vc14_1 conda-forge [vc14]
ca-certificates: 2018.03.07-0 --> 2018.4.16-0 conda-forge
certifi: 2018.4.16-py36_0 --> 2018.4.16-py36_0 conda-forge
conda: 4.5.4-py36_0 --> 4.5.4-py36_0 conda-forge
freetype: 2.8-vc14h17c9bdf_0 --> 2.8.1-vc14_0 conda-forge [vc14]
hdf5: 1.10.1-vc14hb361328_0 --> 1.10.1-vc14_2 conda-forge [vc14]
icu: 58.2-vc14hc45fdbb_0 --> 58.2-vc14_0 conda-forge [vc14]
jpeg: 9b-vc14h4d7706e_1 --> 9b-vc14_2 conda-forge [vc14]
libpng: 1.6.32-vc14h5163883_3 --> 1.6.34-vc14_0 conda-forge [vc14]
libsodium: 1.0.16-h9d3ae62_0 --> 1.0.16-vc14_0 conda-forge [vc14]
libssh2: 1.8.0-vc14hcf584a9_2 --> 1.8.0-vc14_2 conda-forge [vc14]
libtiff: 4.0.8-vc14h04e2a1e_10 --> 4.0.9-vc14_0 conda-forge [vc14]
libxml2: 2.9.4-vc14h8fd0f11_5 --> 2.9.8-vc14_0 conda-forge [vc14]
libxslt: 1.1.29-vc14hf85b8d4_5 --> 1.1.32-vc14_0 conda-forge [vc14]
openssl: 1.0.2o-h8ea7d77_0 --> 1.0.2o-vc14_0 conda-forge [vc14]
sqlite: 3.20.1-vc14h7ce8c62_1 --> 3.22.0-vc14_0 conda-forge [vc14]
zeromq: 4.2.5-hc6251cf_0 --> 4.2.5-vc14_1 conda-forge [vc14]

The following packages will be DOWNGRADED:

curl: 7.55.1-vc14hdaba4a4_3 --> 7.55.1-vc14_0 conda-forge [vc14]
libiconv: 1.15-vc14h29686d3_5 --> 1.15-vc14_0 conda-forge [vc14]
lzo: 2.10-vc14h0a64fa6_1 --> 2.10-vc14_0 conda-forge [vc14]
qt: 5.6.2-vc14h6f8c307_12 --> 5.6.2-vc14_1 conda-forge [vc14]
tk: 8.6.7-vc14hb68737d_1 --> 8.6.7-vc14_0 conda-forge [vc14]
yaml: 0.1.7-vc14hb31d195_1 --> 0.1.7-vc14_0 conda-forge [vc14]
zlib: 1.2.11-vc14h1cdd9ab_1 --> 1.2.11-vc14_0 conda-forge [vc14]

Proceed ([y]/n)? y


Downloading and Extracting Packages
joblib-0.11 | 194 KB | ############################################################################## | 100%
openssl-1.0.2o | 5.4 MB | ############################################################################## | 100%
zlib-1.2.11 | 119 KB | ############################################################################## | 100%
yaml-0.1.7 | 103 KB | ############################################################################## | 100%
sqlite-3.22.0 | 907 KB | ############################################################################## | 100%
lzo-2.10 | 154 KB | ############################################################################## | 100%
libpng-1.6.34 | 547 KB | ############################################################################## | 100%
krb5-1.14.6 | 767 KB | ############################################################################## | 100%
libssh2-1.8.0 | 184 KB | ############################################################################## | 100%
icu-58.2 | 21.8 MB | ############################################################################## | 100%
bzip2-1.0.6 | 144 KB | ############################################################################## | 100%
conda-4.5.4 | 650 KB | ############################################################################## | 100%
curl-7.55.1 | 339 KB | ############################################################################## | 100%
libxml2-2.9.8 | 3.2 MB | ############################################################################## | 100%
hdf5-1.10.1 | 17.9 MB | ############################################################################## | 100%
scikit-surprise-1.0. | 589 KB | ############################################################################## | 100%
qt-5.6.2 | 55.6 MB | ############################################################################## | 100%
libiconv-1.15 | 682 KB | ############################################################################## | 100%
jpeg-9b | 314 KB | ############################################################################## | 100%
zeromq-4.2.5 | 9.6 MB | ############################################################################## | 100%
freetype-2.8.1 | 469 KB | ############################################################################## | 100%
libxslt-1.1.32 | 456 KB | ############################################################################## | 100%
certifi-2018.4.16 | 143 KB | ############################################################################## | 100%
libsodium-1.0.16 | 582 KB | ############################################################################## | 100%
libtiff-4.0.9 | 616 KB | ############################################################################## | 100%
tk-8.6.7 | 3.5 MB | ############################################################################## | 100%
ca-certificates-2018 | 176 KB | ############################################################################## | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done

安装scipy:

(base) C:\Users\yzhang>conda install scipy
Solving environment: done

## Package Plan ##

environment location: d:\ProgramData\Anaconda3

added / updated specs:
- scipy


The following packages will be downloaded:

package | build
---------------------------|-----------------
certifi-2018.4.16 | py36_0 143 KB
scipy-1.1.0 | py36h672f292_0 13.5 MB
conda-4.5.4 | py36_0 1.0 MB
mkl-2018.0.3 | 1 178.1 MB
------------------------------------------------------------
Total: 192.8 MB

The following packages will be UPDATED:

certifi: 2018.4.16-py36_0 conda-forge --> 2018.4.16-py36_0
conda: 4.5.4-py36_0 conda-forge --> 4.5.4-py36_0
mkl: 2018.0.0-h36b65af_4 --> 2018.0.3-1
openssl: 1.0.2o-vc14_0 conda-forge [vc14] --> 1.0.2o-h8ea7d77_0
scipy: 0.19.1-py36h7565378_3 --> 1.1.0-py36h672f292_0

The following packages will be DOWNGRADED:

ca-certificates: 2018.4.16-0 conda-forge --> 2018.03.07-0

Proceed ([y]/n)? y


Downloading and Extracting Packages
certifi-2018.4.16 | 143 KB | ############################################################################## | 100%
scipy-1.1.0 | 13.5 MB | ############################################################################## | 100%
conda-4.5.4 | 1.0 MB | ############################################################################## | 100%
mkl-2018.0.3 | 178.1 MB | ############################################################################# | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done

检查已安装的包:

(base) C:\Users\yzhang>conda list
# packages in environment at d:\ProgramData\Anaconda3:
#
# Name Version Build Channel
_ipyw_jlab_nb_ext_conf 0.1.0 py36he6757f0_0
alabaster 0.7.10 py36hcd07829_0
anaconda custom py36h363777c_0
anaconda-client 1.6.14 py36_0
anaconda-navigator 1.8.7 py36_0
anaconda-project 0.8.0 py36h8b3bf89_0
asn1crypto 0.22.0 py36h8e79faa_1
astroid 1.5.3 py36h9d85297_0
astropy 2.0.2 py36h06391c4_4
babel 2.5.0 py36h35444c1_0
backports 1.0 py36h81696a8_1
backports.shutil_get_terminal_size 1.0.0 py36h79ab834_2
beautifulsoup4 4.6.0 py36hd4cc5e8_1
bitarray 0.8.1 py36h6af124b_0
bkcharts 0.2 py36h7e685f7_0
blaze 0.11.3 py36h8a29ca5_0
bleach 2.0.0 py36h0a7e3d6_0
bokeh 0.12.10 py36h0be3b39_0
boto 2.48.0 py36h1a776d2_1
bottleneck 1.2.1 py36hd119dfa_0
bzip2 1.0.6 vc14_1 [vc14] conda-forge
ca-certificates 2018.03.07 0
cachecontrol 0.12.3 py36hfe50d7b_0
certifi 2018.4.16 py36_0
cffi 1.10.0 py36hae3d1b5_1
chardet 3.0.4 py36h420ce6e_1
click 6.7 py36hec8c647_0
cloudpickle 0.4.0 py36h639d8dc_0
clyent 1.2.2 py36hb10d595_1
colorama 0.3.9 py36h029ae33_0
comtypes 1.1.2 py36heb9b3d1_0
conda 4.5.4 py36_0
conda-build 3.0.27 py36h309a530_0
conda-env 2.6.0 h36134e3_1
conda-verify 2.0.0 py36h065de53_0
console_shortcut 0.1.1 h6bb2dd7_3
contextlib2 0.5.5 py36he5d52c0_0
cryptography 2.0.3 py36h123decb_1
curl 7.55.1 vc14_0 [vc14] conda-forge
cycler 0.10.0 py36h009560c_0
cython 0.26.1 py36h18049ac_0
cytoolz 0.8.2 py36h547e66e_0
dask 0.15.3 py36h396fcb9_0
dask-core 0.15.3 py36hd651449_0
datashape 0.5.4 py36h5770b85_0
decorator 4.1.2 py36he63a57b_0
dill 0.2.7.1 py36hf552773_0
distlib 0.2.5 py36h51371be_0
distributed 1.19.1 py36h8504682_0
docutils 0.14 py36h6012d8f_0
entrypoints 0.2.3 py36hfd66bb0_2
et_xmlfile 1.0.1 py36h3d2d736_0
fastcache 1.0.2 py36hffdae1b_0
filelock 2.0.12 py36hd7ddd41_0
findspark 1.2.0 <pip>
flask 0.12.2 py36h98b5e8f_0
flask-cors 3.0.3 py36h8a3855d_0
freetype 2.8.1 vc14_0 [vc14] conda-forge
get_terminal_size 1.0.0 h38e98db_0
gevent 1.2.2 py36h342a76c_0
glob2 0.5 py36h11cc1bd_1
greenlet 0.4.12 py36ha00ad21_0
h5py 2.7.0 py36hfbe0a52_1
hdf5 1.10.1 vc14_2 [vc14] conda-forge
heapdict 1.0.0 py36h21fa5f4_0
html5lib 0.999999999 py36ha09b1f3_0
icc_rt 2017.0.4 h97af966_0
icu 58.2 vc14_0 [vc14] conda-forge
idna 2.6 py36h148d497_1
imageio 2.2.0 py36had6c2d2_0
imagesize 0.7.1 py36he29f638_0
intel-openmp 2018.0.0 hcd89f80_7
ipykernel 4.6.1 py36hbb77b34_0
ipython 6.1.0 py36h236ecc8_1
ipython_genutils 0.2.0 py36h3c5d0ee_0
ipywidgets 7.0.0 py36h2e74ada_0
isort 4.2.15 py36h6198cc5_0
itsdangerous 0.24 py36hb6c5a24_1
jdcal 1.3 py36h64a5255_0
jedi 0.10.2 py36hed927a0_0
jinja2 2.9.6 py36h10aa3a0_1
joblib 0.11 py36_0 conda-forge
jpeg 9b vc14_2 [vc14] conda-forge
jsonschema 2.6.0 py36h7636477_0
jupyter 1.0.0 py36h422fd7e_2
jupyter_client 5.2.3 py36_0
jupyter_console 5.2.0 py36h6d89b47_1
jupyter_core 4.4.0 py36h56e9d50_0
jupyterlab 0.32.1 py36_0
jupyterlab_launcher 0.10.5 py36_0
krb5 1.14.6 vc14_0 [vc14] conda-forge
lazy-object-proxy 1.3.1 py36hd1c21d2_0
libiconv 1.15 vc14_0 [vc14] conda-forge
libpng 1.6.34 vc14_0 [vc14] conda-forge
libsodium 1.0.16 vc14_0 [vc14] conda-forge
libssh2 1.8.0 vc14_2 [vc14] conda-forge
libtiff 4.0.9 vc14_0 [vc14] conda-forge
libxml2 2.9.8 vc14_0 [vc14] conda-forge
libxslt 1.1.32 vc14_0 [vc14] conda-forge
llvmlite 0.20.0 py36_0
locket 0.2.0 py36hfed976d_1
lockfile 0.12.2 py36h0468280_0
lxml 4.1.0 py36h0dcd83c_0
lzo 2.10 vc14_0 [vc14] conda-forge
m2w64-gcc-libgfortran 5.3.0 6
m2w64-gcc-libs 5.3.0 7
m2w64-gcc-libs-core 5.3.0 7
m2w64-gmp 6.1.0 2
m2w64-libwinpthread-git 5.0.0.4634.697f757 2
markupsafe 1.0 py36h0e26971_1
matplotlib 2.1.0 py36h11b4b9c_0
mccabe 0.6.1 py36hb41005a_1
menuinst 1.4.10 py36h42196fb_0
mistune 0.7.4 py36h4874169_0
mkl 2018.0.3 1
mkl-service 1.1.2 py36h57e144c_4
mpmath 0.19 py36he326802_2
msgpack-python 0.4.8 py36h58b1e9d_0
msys2-conda-epoch 20160418 1
multipledispatch 0.4.9 py36he44c36e_0
navigator-updater 0.1.0 py36h8a7b86b_0
nbconvert 5.3.1 py36h8dc0fde_0
nbformat 4.4.0 py36h3a5bc1b_0
networkx 2.0 py36hff991e3_0
nltk 3.2.4 py36hd0e0a39_0
nose 1.3.7 py36h1c3779e_2
notebook 5.5.0 py36_0
numba 0.35.0 np113py36_10
numexpr 2.6.2 py36h7ca04dc_1
numpy 1.13.3 py36ha320f96_0
numpydoc 0.7.0 py36ha25429e_0
odo 0.5.1 py36h7560279_0
olefile 0.44 py36h0a7bdd2_0
openpyxl 2.4.8 py36hf3b77f6_1
openssl 1.0.2o h8ea7d77_0
packaging 16.8 py36ha0986f6_1
pandas 0.20.3 py36hce827b7_2
pandoc 1.19.2.1 hb2460c7_1
pandocfilters 1.4.2 py36h3ef6317_1
partd 0.3.8 py36hc8e763b_0
path.py 10.3.1 py36h3dd8b46_0
pathlib2 2.3.0 py36h7bfb78b_0
patsy 0.4.1 py36h42cefec_0
pep8 1.7.0 py36h0f3d67a_0
pickleshare 0.7.4 py36h9de030f_0
pillow 4.2.1 py36hdb25ab2_0
pip 9.0.1 py36hadba87b_3
pip 10.0.1 <pip>
pkginfo 1.4.1 py36hb0f9cfa_1
ply 3.10 py36h1211beb_0
progress 1.3 py36hbeca8d3_0
prompt_toolkit 1.0.15 py36h60b8f86_0
psutil 5.4.0 py36h4e662fb_0
py 1.4.34 py36ha4aca3a_1
pycodestyle 2.3.1 py36h7cc55cd_0
pycosat 0.6.3 py36h413d8a4_0
pycparser 2.18 py36hd053e01_1
pycrypto 2.6.1 py36he68e6e2_1
pycurl 7.43.0 py36h086bf4c_3
pyflakes 1.6.0 py36h0b975d6_0
pygments 2.2.0 py36hb010967_0
pylint 1.7.4 py36ha4e6ded_0
pyodbc 4.0.17 py36h0006bc2_0
pyopenssl 17.2.0 py36h15ca2fc_0
pyparsing 2.2.0 py36h785a196_1
pyqt 5.6.0 py36hb5ed885_5
PyQt5 5.9.2 <pip>
pyreadline 2.1 py36h094d952_1
pysocks 1.6.7 py36h698d350_1
pytables 3.4.2 py36h71138e3_2
pytest 3.2.1 py36h753b05e_1
python 3.6.3 h9e2ca53_1
python-dateutil 2.6.1 py36h509ddcb_1
pytz 2017.2 py36h05d413f_1
pywavelets 0.5.2 py36hc649158_0
pywin32 221 py36h9c10281_0
pywinpty 0.5.4 py36_0
pyyaml 3.12 py36h1d1928f_1
pyzmq 17.0.0 py36hfa6e2cd_1
qt 5.6.2 vc14_1 [vc14] conda-forge
qtawesome 0.4.4 py36h5aa48f6_0
qtconsole 4.3.1 py36h99a29a9_0
qtpy 1.4.2 py36_0
requests 2.18.4 py36h4371aae_1
rope 0.10.5 py36hcaf5641_0
ruamel_yaml 0.11.14 py36h9b16331_2
scikit-image 0.13.0 py36h6dffa3f_1
scikit-learn 0.19.1 py36h53aea1b_0
scikit-surprise 1.0.6 py36_0 conda-forge
scipy 1.1.0 py36h672f292_0
seaborn 0.8.0 py36h62cb67c_0
selenium 3.7.0 <pip>
send2trash 1.5.0 py36_0
setuptools 36.5.0 py36h65f9e6e_0
simplegeneric 0.8.1 py36heab741f_0
singledispatch 3.4.0.3 py36h17d0c80_0
sip 4.19.8 <pip>
sip 4.18.1 py36h9c25514_2
six 1.11.0 py36h4db2310_1
snowballstemmer 1.2.1 py36h763602f_0
sortedcollections 0.5.3 py36hbefa0ab_0
sortedcontainers 1.5.7 py36ha90ac20_0
sphinx 1.6.3 py36h9bb690b_0
sphinxcontrib 1.0 py36hbbac3d2_1
sphinxcontrib-websupport 1.0.1 py36hb5e5916_1
spyder 3.2.8 py36_0
sqlalchemy 1.1.13 py36h5948d12_0
sqlite 3.22.0 vc14_0 [vc14] conda-forge
statsmodels 0.8.0 py36h6189b4c_0
sympy 1.1.1 py36h96708e0_0
tblib 1.3.2 py36h30f5020_0
terminado 0.8.1 py36_1
testpath 0.3.1 py36h2698cfe_0
tk 8.6.7 vc14_0 [vc14] conda-forge
toolz 0.8.2 py36he152a52_0
tornado 4.5.2 py36h57f6048_0
traitlets 4.3.2 py36h096827d_0
typing 3.6.2 py36hb035bda_0
unicodecsv 0.14.1 py36h6450c06_0
urllib3 1.22 py36h276f60a_0
vc 14 h2379b0c_2
vs2015_runtime 14.0.25123 hd4c4e62_2
wcwidth 0.1.7 py36h3d5aa90_0
webencodings 0.5.1 py36h67c50ae_1
werkzeug 0.12.2 py36h866a736_0
wheel 0.29.0 py36h6ce6cde_1
widgetsnbextension 3.0.2 py36h364476f_1
win_inet_pton 1.0.1 py36he67d7fd_1
win_unicode_console 0.5 py36hcdbd4b5_0
wincertstore 0.2 py36h7fe50ca_0
winpty 0.4.3 4
wrapt 1.10.11 py36he5f5981_0
xlrd 1.1.0 py36h1cb58dc_1
xlsxwriter 1.0.2 py36hf723b7d_0
xlwings 0.11.4 py36hd3cf94d_0
xlwt 1.3.0 py36h1a4751e_0
yaml 0.1.7 vc14_0 [vc14] conda-forge
zeromq 4.2.5 vc14_1 [vc14] conda-forge
zict 0.1.3 py36h2d8e73e_0
zlib 1.2.11 vc14_0 [vc14] conda-forge

  1. scipy 现在版本是 1.1.0:

    导入科学scipy.版本输出[23]:'1.1.0'


  1. 但还是报错:

    导入惊喜追溯(最近一次通话最后一次):

    文件“”,第 1 行,位于 导入惊喜

    文件“d:\ProgramData\Anaconda3\lib\site-packages\surprise__init__.py”,第 35 行,在 version = get_distribution('scikit-surprise').version

    文件“d:\ProgramData\Anaconda3\lib\site-packages\pkg_resources__init__.py”,第 562 行,在 get_distribution 中 dist = get_provider(dist)

    文件“d:\ProgramData\Anaconda3\lib\site-packages\pkg_resources__init__.py”,第 436 行,在 get_provider 中 返回 working_set.find(moduleOrReq) 或 require(str(moduleOrReq))[0]

    文件“d:\ProgramData\Anaconda3\lib\site-packages\pkg_resources__init__.py”,第 981 行,在 require 中 需要 = self.resolve(parse_requirements(requirements))

    文件“d:\ProgramData\Anaconda3\lib\site-packages\pkg_resources__init__.py”,第 872 行,解析 提高 VersionConflict(dist, req).with_context(dependent_req)

    ContextualVersionConflict: (scipy 0.19.1 (d:\programdata\anaconda3\lib\site-packages), Requirement.parse('scipy>=1.0.0'), {'scikit-surprise'})

最佳答案

您是否尝试过在 colab 上升级您的 ipython?

!pip install {your_package}
!pip install --upgrade ipython

重新启动运行时/ session 以使更改生效。

关于python - import surprise 在 python3 中抛出 ContextualVersionConflict 错误,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/50934578/

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