Open anderl80 opened 5 years ago
mingwandroid
commented
5 years ago How are you launching jupyterlab? Is it from an activate anaconda environment? Do you have any MKL DLLs in C:\Windows\System32?
From the Anaconda Prompt, please try conda update python, then if that doesn't work, try:
set CONDA_DLL_SEARCH_MODIFICATION_ENABLE=1
jupyter notebook
anderl80
commented
5 years ago I use Jupyter Notebooks and not JupyterLab. I launch it using the promt from the base environment (I have the mentioned bug with the mkl on all my systems - 4 independent computers, so I decided to take one, uninstall conda completely and restart with a fresh system again. Now I only have a fresh base environment. so conda update python does not do anything.).
This all happened after I updated my Anaconda systems.
I found
in C:\Windows\System32, but these files exist since 2012 there, so why does the error happen now?
But the problem exists no matter if I start with Anaconda Promt or from the navigator.
Setting the environment variable did not change anything for me.
Im totally desperate. I cannot use any Jupyter Notebook and I need to do my work. :-(
mingwandroid
commented
5 years ago Now I only have a fresh base environment. so conda update python does not do anything.).
It should. We release new python builds more frequently than we release installers. Please show the output from conda list --show-channel-urls.
anderl80
commented
5 years ago Found out that maybe ikmultimedia Amplitube is installing the mkl in WIndows System from this tweet https://twitter.com/_tmp_account/status/1083817363047370754 . Just deleting the dlls in Windows/Systems32 does not prevent the error message.
mingwandroid
commented
5 years ago Please update python to the latest version, show me the output from conda list --show-channel-urls and then attempt the potential workaround I provided:
set CONDA_DLL_SEARCH_MODIFICATION_ENABLE=1
jupyter notebook.. all from the Anaconda Prompt.
anderl80
commented
5 years ago # packages in environment at C:\Users\andre\Anaconda3:
#
# Name Version Build Channel
_ipyw_jlab_nb_ext_conf 0.1.0 py37_0 defaults
alabaster 0.7.12 py37_0 defaults
anaconda 2018.12 py37_0 defaults
anaconda-client 1.7.2 py37_0 defaults
anaconda-navigator 1.9.6 py37_0 defaults
anaconda-project 0.8.2 py37_0 defaults
appdirs 1.4.3 py37h28b3542_0 defaults
asn1crypto 0.24.0 py37_0 defaults
astroid 2.1.0 py37_0 defaults
astropy 3.1 py37he774522_0 defaults
atomicwrites 1.2.1 py37_0 defaults
attrs 18.2.0 py37h28b3542_0 defaults
automat 0.7.0 py37_0 defaults
babel 2.6.0 py37_0 defaults
backcall 0.1.0 py37_0 defaults
backports 1.0 py37_1 defaults
backports.os 0.1.1 py37_0 defaults
backports.shutil_get_terminal_size 1.0.0 py37_2 defaults
beautifulsoup4 4.6.3 py37_0 defaults
bitarray 0.8.3 py37hfa6e2cd_0 defaults
bkcharts 0.2 py37_0 defaults
blas 1.0 mkl defaults
blaze 0.11.3 py37_0 defaults
bleach 3.0.2 py37_0 defaults
blosc 1.14.4 he51fdeb_0 defaults
bokeh 1.0.2 py37_0 defaults
boto 2.49.0 py37_0 defaults
bottleneck 1.2.1 py37h452e1ab_1 defaults
bzip2 1.0.6 hfa6e2cd_5 defaults
ca-certificates 2018.03.07 0 defaults
certifi 2018.11.29 py37_0 defaults
cffi 1.11.5 py37h74b6da3_1 defaults
chardet 3.0.4 py37_1 defaults
click 7.0 py37_0 defaults
cloudpickle 0.6.1 py37_0 defaults
clyent 1.2.2 py37_1 defaults
colorama 0.4.1 py37_0 defaults
comtypes 1.1.7 py37_0 defaults
conda 4.6.7 py37_0 conda-forge
conda-build 3.17.6 py37_0 defaults
conda-env 2.6.0 1 defaults
conda-verify 3.1.1 py37_0 defaults
console_shortcut 0.1.1 3 defaults
constantly 15.1.0 py37h28b3542_0 defaults
contextlib2 0.5.5 py37_0 defaults
cryptography 2.4.2 py37h7a1dbc1_0 defaults
curl 7.63.0 h2a8f88b_1000 defaults
cycler 0.10.0 py37_0 defaults
cython 0.29.2 py37ha925a31_0 defaults
cytoolz 0.9.0.1 py37hfa6e2cd_1 defaults
dask 1.0.0 py37_0 defaults
dask-core 1.0.0 py37_0 defaults
datashape 0.5.4 py37_1 defaults
decorator 4.3.0 py37_0 defaults
defusedxml 0.5.0 py37_1 defaults
distributed 1.25.1 py37_0 defaults
docutils 0.14 py37_0 defaults
entrypoints 0.2.3 py37_2 defaults
et_xmlfile 1.0.1 py37_0 defaults
fastcache 1.0.2 py37hfa6e2cd_2 defaults
filelock 3.0.10 py37_0 defaults
flask 1.0.2 py37_1 defaults
flask-cors 3.0.7 py37_0 defaults
freetype 2.9.1 ha9979f8_1 defaults
future 0.17.1 py37_0 defaults
get_terminal_size 1.0.0 h38e98db_0 defaults
gevent 1.3.7 py37he774522_1 defaults
glob2 0.6 py37_1 defaults
greenlet 0.4.15 py37hfa6e2cd_0 defaults
h5py 2.8.0 py37h3bdd7fb_2 defaults
hdf5 1.10.2 hac2f561_1 defaults
heapdict 1.0.0 py37_2 defaults
html5lib 1.0.1 py37_0 defaults
hyperlink 18.0.0 py37_0 defaults
icc_rt 2019.0.0 h0cc432a_1 defaults
icu 58.2 ha66f8fd_1 defaults
idna 2.8 py37_0 defaults
imageio 2.4.1 py37_0 defaults
imagesize 1.1.0 py37_0 defaults
importlib_metadata 0.6 py37_0 defaults
incremental 17.5.0 py37_0 defaults
intel-openmp 2019.1 144 defaults
ipykernel 5.1.0 py37h39e3cac_0 defaults
ipython 7.2.0 py37h39e3cac_0 defaults
ipython_genutils 0.2.0 py37_0 defaults
ipywidgets 7.4.2 py37_0 defaults
isort 4.3.4 py37_0 defaults
itsdangerous 1.1.0 py37_0 defaults
jdcal 1.4 py37_0 defaults
jedi 0.13.2 py37_0 defaults
jinja2 2.10 py37_0 defaults
jpeg 9b hb83a4c4_2 defaults
jsonschema 2.6.0 py37_0 defaults
jupyter 1.0.0 py37_7 defaults
jupyter_client 5.2.4 py37_0 defaults
jupyter_console 6.0.0 py37_0 defaults
jupyter_core 4.4.0 py37_0 defaults
jupyterlab 0.35.3 py37_0 conda-forge
jupyterlab_launcher 0.13.1 py37_0 defaults
jupyterlab_server 0.2.0 py37_0 defaults
keyring 17.0.0 py37_0 defaults
kiwisolver 1.0.1 py37h6538335_0 defaults
krb5 1.16.1 hc04afaa_7 defaults
lazy-object-proxy 1.3.1 py37hfa6e2cd_2 defaults
libarchive 3.3.3 h0643e63_5 defaults
libcurl 7.63.0 h2a8f88b_1000 defaults
libiconv 1.15 h1df5818_7 defaults
libpng 1.6.35 h2a8f88b_0 defaults
libsodium 1.0.16 h9d3ae62_0 defaults
libssh2 1.8.0 h7a1dbc1_4 defaults
libtiff 4.0.9 h36446d0_2 defaults
libxml2 2.9.8 hadb2253_1 defaults
libxslt 1.1.32 hf6f1972_0 defaults
llvmlite 0.26.0 py37ha925a31_0 defaults
locket 0.2.0 py37_1 defaults
lxml 4.2.5 py37hef2cd61_0 defaults
lz4-c 1.8.1.2 h2fa13f4_0 defaults
lzo 2.10 h6df0209_2 defaults
m2w64-gcc-libgfortran 5.3.0 6 defaults
m2w64-gcc-libs 5.3.0 7 defaults
m2w64-gcc-libs-core 5.3.0 7 defaults
m2w64-gmp 6.1.0 2 defaults
m2w64-libwinpthread-git 5.0.0.4634.697f757 2 defaults
markupsafe 1.1.0 py37he774522_0 defaults
matplotlib 3.0.2 py37hc8f65d3_0 defaults
mccabe 0.6.1 py37_1 defaults
menuinst 1.4.14 py37hfa6e2cd_0 defaults
mistune 0.8.4 py37he774522_0 defaults
mkl 2019.1 144 defaults
mkl-service 1.1.2 py37hb782905_5 defaults
mkl_fft 1.0.6 py37h6288b17_0 defaults
mkl_random 1.0.2 py37h343c172_0 defaults
more-itertools 4.3.0 py37_0 defaults
mpmath 1.1.0 py37_0 defaults
msgpack-python 0.5.6 py37he980bc4_1 defaults
msys2-conda-epoch 20160418 1 defaults
multipledispatch 0.6.0 py37_0 defaults
navigator-updater 0.2.1 py37_0 defaults
nbconvert 5.4.0 py37_1 defaults
nbformat 4.4.0 py37_0 defaults
networkx 2.2 py37_1 defaults
nltk 3.4 py37_1 defaults
nose 1.3.7 py37_2 defaults
notebook 5.7.4 py37_0 defaults
numba 0.41.0 py37hf9181ef_0 defaults
numexpr 2.6.8 py37hdce8814_0 defaults
numpy 1.15.4 py37h19fb1c0_0 defaults
numpy-base 1.15.4 py37hc3f5095_0 defaults
numpydoc 0.8.0 py37_0 defaults
odo 0.5.1 py37_0 defaults
olefile 0.46 py37_0 defaults
openpyxl 2.5.12 py37_0 defaults
openssl 1.1.1a he774522_0 defaults
packaging 18.0 py37_0 defaults
pandas 0.23.4 py37h830ac7b_0 defaults
pandoc 1.19.2.1 hb2460c7_1 defaults
pandocfilters 1.4.2 py37_1 defaults
parso 0.3.1 py37_0 defaults
partd 0.3.9 py37_0 defaults
path.py 11.5.0 py37_0 defaults
pathlib2 2.3.3 py37_0 defaults
patsy 0.5.1 py37_0 defaults
pep8 1.7.1 py37_0 defaults
pickleshare 0.7.5 py37_0 defaults
pillow 5.3.0 py37hdc69c19_0 defaults
pip 18.1 py37_0 defaults
pkginfo 1.4.2 py37_1 defaults
pluggy 0.8.0 py37_0 defaults
ply 3.11 py37_0 defaults
prometheus_client 0.5.0 py37_0 defaults
prompt_toolkit 2.0.7 py37_0 defaults
psutil 5.4.8 py37he774522_0 defaults
py 1.7.0 py37_0 defaults
pyasn1 0.4.4 py37h28b3542_0 defaults
pyasn1-modules 0.2.2 py37_0 defaults
pycodestyle 2.4.0 py37_0 defaults
pycosat 0.6.3 py37hfa6e2cd_0 defaults
pycparser 2.19 py37_0 defaults
pycrypto 2.6.1 py37hfa6e2cd_9 defaults
pycurl 7.43.0.2 py37h7a1dbc1_0 defaults
pyflakes 2.0.0 py37_0 defaults
pygments 2.3.1 py37_0 defaults
pyhamcrest 1.9.0 py_2 conda-forge
pylint 2.2.2 py37_0 defaults
pyodbc 4.0.25 py37ha925a31_0 defaults
pyopenssl 18.0.0 py37_0 defaults
pyparsing 2.3.0 py37_0 defaults
pyqt 5.9.2 py37h6538335_2 defaults
pysocks 1.6.8 py37_0 defaults
pytables 3.4.4 py37he6f6034_0 defaults
pytest 4.0.2 py37_0 defaults
pytest-arraydiff 0.3 py37h39e3cac_0 defaults
pytest-astropy 0.5.0 py37_0 defaults
pytest-doctestplus 0.2.0 py37_0 defaults
pytest-openfiles 0.3.1 py37_0 defaults
pytest-remotedata 0.3.1 py37_0 defaults
python 3.7.1 h8c8aaf0_6 defaults
python-dateutil 2.7.5 py37_0 defaults
python-libarchive-c 2.8 py37_6 defaults
pytz 2018.7 py37_0 defaults
pywavelets 1.0.1 py37h8c2d366_0 defaults
pywin32 223 py37hfa6e2cd_1 defaults
pywinpty 0.5.5 py37_1000 conda-forge
pyyaml 3.13 py37hfa6e2cd_0 defaults
pyzmq 17.1.2 py37hfa6e2cd_0 defaults
qt 5.9.7 vc14h73c81de_0 defaults
qtawesome 0.5.3 py37_0 defaults
qtconsole 4.4.3 py37_0 defaults
qtpy 1.5.2 py37_0 defaults
requests 2.21.0 py37_0 defaults
rope 0.11.0 py37_0 defaults
ruamel_yaml 0.15.46 py37hfa6e2cd_0 defaults
scikit-image 0.14.1 py37ha925a31_0 defaults
scikit-learn 0.20.1 py37h343c172_0 defaults
scipy 1.1.0 py37h29ff71c_2 defaults
seaborn 0.9.0 py37_0 defaults
send2trash 1.5.0 py37_0 defaults
service_identity 17.0.0 py37h28b3542_0 defaults
setuptools 40.6.3 py37_0 conda-forge
simplegeneric 0.8.1 py37_2 defaults
singledispatch 3.4.0.3 py37_0 defaults
sip 4.19.8 py37h6538335_0 defaults
six 1.12.0 py37_0 defaults
snappy 1.1.7 h777316e_3 defaults
snowballstemmer 1.2.1 py37_0 defaults
sortedcollections 1.0.1 py37_0 defaults
sortedcontainers 2.1.0 py37_0 defaults
sphinx 1.8.2 py37_0 defaults
sphinxcontrib 1.0 py37_1 defaults
sphinxcontrib-websupport 1.1.0 py37_1 defaults
spyder 3.3.2 py37_0 defaults
spyder-kernels 0.3.0 py37_0 defaults
sqlalchemy 1.2.15 py37he774522_0 defaults
sqlite 3.26.0 he774522_0 defaults
statsmodels 0.9.0 py37h452e1ab_0 defaults
sympy 1.3 py37_0 conda-forge
tblib 1.3.2 py37_0 defaults
terminado 0.8.1 py37_1 defaults
testpath 0.4.2 py37_0 defaults
tk 8.6.8 hfa6e2cd_0 defaults
toolz 0.9.0 py37_0 defaults
tornado 5.1.1 py37hfa6e2cd_0 defaults
tqdm 4.28.1 py37h28b3542_0 defaults
traitlets 4.3.2 py37_0 defaults
twisted 18.7.0 py37hfa6e2cd_1 conda-forge
unicodecsv 0.14.1 py37_0 defaults
urllib3 1.24.1 py37_0 defaults
vc 14.1 h0510ff6_4 defaults
vs2015_runtime 14.15.26706 h3a45250_0 defaults
wcwidth 0.1.7 py37_0 defaults
webencodings 0.5.1 py37_1 defaults
werkzeug 0.14.1 py37_0 defaults
wheel 0.32.3 py37_0 conda-forge
widgetsnbextension 3.4.2 py37_0 defaults
win_inet_pton 1.0.1 py37_1 defaults
win_unicode_console 0.5 py37_0 defaults
wincertstore 0.2 py37_0 defaults
winpty 0.4.3 4 defaults
wrapt 1.10.11 py37hfa6e2cd_2 defaults
xlrd 1.2.0 py37_0 defaults
xlsxwriter 1.1.2 py37_0 defaults
xlwings 0.15.1 py37_0 conda-forge
xlwt 1.3.0 py37_0 defaults
xz 5.2.4 h2fa13f4_4 defaults
yaml 0.1.7 hc54c509_2 defaults
zeromq 4.2.5 he025d50_1 defaults
zict 0.1.3 py37_0 defaults
zlib 1.2.11 h62dcd97_3 defaults
zope 1.0 py37_1 defaults
zope.interface 4.5.0 py37hfa6e2cd_0 defaults
zstd 1.3.7 h508b16e_0 defaultsThank you.
python 3.7.1 h8c8aaf0_6 defaults
This is an old build of python, a build that predates our workaround for 'DLL-hell'.
Again, please from the Anaconda Prompt enter conda update python
.. and ensure that you see that python has been updated, in conda list --show-channel-urls you should see:
python 3.7.2 h8c8aaf0_10 defaults.. once you have this new Python installed with our workaround for 'DLL-hell', from the Anaconda Prompt, issue the following two commands:
set CONDA_DLL_SEARCH_MODIFICATION_ENABLE=1
jupyter laband test whether it works correctly or not. If it does work correctly you may want to set CONDA_DLL_SEARCH_MODIFICATION_ENABLE in your systems environment variables so you don't have to type this in all the time. Here's a link that may help: https://www.thewindowsclub.com/set-java_home-in-windows-10
anderl80
commented
5 years ago Many thanks for your help!
As I mentioned earlier, conda update python does not update anything.
anderl80
commented
5 years ago OK, solved with conda install python=3.7.2 and now it works. Thanks for helping me out! (Is it true that other software should not deposit their mkl*.dll in C:\WIndows\Systems32?
mingwandroid
commented
5 years ago OK great!
Can I ask, did you need to enable our workaround or not? Be careful, the code that reads that env. var. doesn't care what value it contains so confusingly set CONDA_DLL_SEARCH_MODIFICATION=0 enables it. To turn it off in your current shell, you need to use set CONDA_DLL_SEARCH_MODIFICATION=.
Is it true that other software should not deposit their mkl*.dll in C:\WIndows\Systems32?
It is true. No ISVs (independent software vendors) should put non-driver software anywhere under C:\Windows. This folder is to be controlled by Microsoft and the system. Please read about DLL-hell, it's existed for ever and been documented for the same length of time, pretty much. https://en.wikipedia.org/wiki/DLL_Hell
anderl80
commented
5 years ago I did need to set the env var. Turining it off as you stated with set ...= brougth the error back.
mingwandroid
commented
5 years ago Thank you for the feedback and I'm glad this hack enables people with somewhat messed up system to use our software :-)
anderl80
commented
5 years ago Thanks for helping me out within the Anaconda env. I guess even the workaround is way more sophisticated than the code of the ISV causing the problem..
Deleting the mkl* from the C:\Windows\System32 alone was not enough. Are there maybe other files from the ISV corrupting or do I have to reinstall something?
mingwandroid
commented
5 years ago It can be literally any dlls unfortunately.
anderl80
commented
5 years ago Ok, so in order to prevent this can I set the env var system-wide or is this not a good idea?
Also I use nb_conda_kernels with different conda envs. I create an minimal env to start jupyter and then select the desired kernel. Should I install now 3.7.2 in each environment? Hope this is possible with all packages.
mingwandroid
commented
5 years ago On your system I would recommended setting it system wide. Yes. This is because it is a problem with your system.
3.7.2 is fine with anything basically yes.
anderl80
commented
5 years ago Ok, because now the problem is somewhere else:
conda create -n deeplearning ipykernel anaconda tensorflow keras
led me to https://stackoverflow.com/questions/51637222/entry-point-mkl-blas-dgem2vu-could-not-be-located
when activate deeplearning
I set the env var CONDA_DLL_SEARCH_MODIFICATION_ENABLE=1 system wide, but does not help.
mingwandroid
commented
5 years ago Please look at the output of conda list. Again you'll see an old python.
Why are you installing the anaconda metapackage? It is equivalent to downgrading everything in that set of packages back to the versions contained in the last anaconda installer release. Just drop it, or install it via anaconda=custom but really it's better to install only what you need in each env.
On Sun, Feb 24, 2019, 4:03 PM Andreas Hopfgartner notifications@github.com wrote:
Ok, because now the problem is somewhere else:
conda create -n deeplearning ipykernel anaconda tensorflow keras
led me to https://stackoverflow.com/questions/51637222/entry-point-mkl-blas-dgem2vu-could-not-be-located
when activate deeplearning
[image: grafik] https://user-images.githubusercontent.com/23196828/53300975-a0079700-384d-11e9-869e-fee0b409db91.png
— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/ContinuumIO/anaconda-issues/issues/10672#issuecomment-466784653, or mute the thread https://github.com/notifications/unsubscribe-auth/AA_pdMuDWJa-tWBT-stdT-3asKSfL4xCks5vQqmngaJpZM4bOOJS .
anderl80
commented
5 years ago Unfortunately not. Python=3.7.2 but crashes instantly after activate deeplearning
But seems to be another problem, the crash happens very fast but after a few tries I was able to capture screen.
mingwandroid
commented
5 years ago Python is not crashing here. You are being told (in a hard to read way) that you haven't installed Visual Studio >=2015 (2017 is best). I'm not sure which package in this collection needs a compiler but it seems one of them does. Can you pass -v to conda activate and see if more information is given?
Installing VS2017 is also an option though.
mathiassteck
commented
5 years ago Dear Ray
Not sure this is the right way to get in touch with you. I have a nasty ‘The ordinal 242 could not be located in the dynamic link library mkl_intel_thread.dll’ and read through this thread https://github.com/ContinuumIO/anaconda-issues/issues/10672
Unfortunately it did not solve the issue.
I have done what you asked anderl180 to du and below you also see my installed packages. I have also tried set CONDA_DLL_SEARCH_MODIFICATION_ENABLE=1
What I try to follow is this tutorial https://www.pyimagesearch.com/2018/09/24/opencv-face-recognition/ and the error pops up when I try to run the command python extract_embeddings.py --dataset dataset --embeddings output/embeddings.pickle --detector face_detection_model --embedding-model openface_nn4.small2.v1.t7 of #STEP 1. The most frustrating issue is, that it already worked. It just turned out that #Step2 did not work and I messed around with deinstalling/reinstalling numpy and mkl – since this was a recommendation in one of these many blogs. After I did that I got the issue ‘The ordinal 242 could not be located in the dynamic link library mkl_intel_thread.dll’’ as described above.
(Python3.6OpenCV) C:>conda list --show-channel-urls
#
_r-mutex 1.0.0 anacondar_1 defaults astroid 2.2.5 py37_0 defaults backcall 0.1.0 py37_0 defaults blas 1.0 mkl defaults bleach 3.1.0 py37_0 defaults ca-certificates 2019.5.15 0 defaults certifi 2019.6.16 py37_0 defaults colorama 0.4.1 py37_0 defaults decorator 4.4.0 py37_1 defaults dlib 19.17.0 pypi_0 pypi entrypoints 0.3 py37_0 defaults icc_rt 2019.0.0 h0cc432a_1 defaults imutils 0.5.2 pypi_0 pypi intel-openmp 2018.0.3 0 defaults ipykernel 5.1.1 py37h39e3cac_0 defaults ipython 7.6.0 py37h39e3cac_0 defaults ipython_genutils 0.2.0 py37_0 defaults isort 4.3.21 py37_0 defaults jedi 0.13.3 py37_0 defaults jinja2 2.10.1 py37_0 defaults joblib 0.13.2 py37_0 defaults jsonschema 2.6.0 py37_0 defaults jupyter_client 5.2.4 py37_0 defaults jupyter_core 4.5.0 py_0 defaults lazy-object-proxy 1.4.1 py37he774522_0 defaults libmklml 2018.0.3 1 defaults libsodium 1.0.16 h9d3ae62_0 defaults m2w64-bwidget 1.9.10 2 defaults m2w64-bzip2 1.0.6 6 defaults m2w64-expat 2.1.1 2 defaults m2w64-fftw 3.3.4 6 defaults m2w64-flac 1.3.1 3 defaults m2w64-gcc-libgfortran 5.3.0 6 defaults m2w64-gcc-libs 5.3.0 7 defaults m2w64-gcc-libs-core 5.3.0 7 defaults m2w64-gettext 0.19.7 2 defaults m2w64-gmp 6.1.0 2 defaults m2w64-libiconv 1.14 6 defaults m2w64-libjpeg-turbo 1.4.2 3 defaults m2w64-libogg 1.3.2 3 defaults m2w64-libpng 1.6.21 2 defaults m2w64-libsndfile 1.0.26 2 defaults m2w64-libsodium 1.0.10 2 defaults m2w64-libtiff 4.0.6 2 defaults m2w64-libvorbis 1.3.5 2 defaults m2w64-libwinpthread-git 5.0.0.4634.697f757 2 defaults m2w64-mpfr 3.1.4 4 defaults m2w64-openblas 0.2.19 1 defaults m2w64-pcre 8.38 2 defaults m2w64-speex 1.2rc2 3 defaults m2w64-speexdsp 1.2rc3 3 defaults m2w64-tcl 8.6.5 3 defaults m2w64-tk 8.6.5 3 defaults m2w64-tktable 2.10 5 defaults m2w64-wineditline 2.101 5 defaults m2w64-xz 5.2.2 2 defaults m2w64-zeromq 4.1.4 2 defaults m2w64-zlib 1.2.8 10 defaults markupsafe 1.1.1 py37he774522_0 defaults mccabe 0.6.1 py37_1 defaults mistune 0.8.4 py37he774522_0 defaults mkl 2019.4 245 defaults mkl-dnn 0.14 h1ad3211_0 defaults mkl-service 2.0.2 py37he774522_0 defaults mkl_fft 1.0.12 py37h14836fe_0 defaults mkl_random 1.0.2 py37h343c172_0 defaults msys2-conda-epoch 20160418 1 defaults nbconvert 5.3.1 py37_0 defaults nbformat 4.4.0 py37_0 defaults notebook 5.7.8 py37_0 defaults numexpr 2.6.9 py37hdce8814_0 defaults numpy 1.16.4 py37h19fb1c0_0 defaults numpy-base 1.16.4 py37hc3f5095_0 defaults opencv-contrib-python 4.1.0.25 pypi_0 pypi opencv-python 4.1.0.25 pypi_0 pypi openssl 1.1.1c he774522_1 defaults pandoc 2.2.3.2 0 defaults pandocfilters 1.4.2 py37_1 defaults parso 0.5.0 py_0 defaults pickleshare 0.7.5 py37_0 defaults pillow 6.0.0 pypi_0 pypi pip 19.1.1 py37_0 defaults prometheus_client 0.7.1 py_0 defaults prompt_toolkit 2.0.9 py37_0 defaults pygments 2.4.2 py_0 defaults pylint 2.3.1 py37_0 defaults python 3.7.2 h8c8aaf0_10 defaults python-dateutil 2.8.0 py37_0 defaults pywinpty 0.5.5 py37_1000 defaults pyzmq 18.0.0 py37ha925a31_0 defaults r-askpass 1.0 r36_0 defaults r-assertthat 0.2.1 r36h6115d3f_0 defaults r-backports 1.1.4 r36h6115d3f_0 defaults r-base 3.6.0 hf18239d_0 defaults r-base64enc 0.1_3 r36h6115d3f_4 defaults r-bh 1.69.0_1 r36h6115d3f_0 defaults r-boot 1.3_20 r36h6115d3f_0 defaults r-broom 0.5.2 r36h6115d3f_0 defaults r-callr 3.2.0 r36h6115d3f_0 defaults r-caret 6.0_83 r36h6115d3f_0 defaults r-cellranger 1.1.0 r36h6115d3f_0 defaults r-class 7.3_15 r36h6115d3f_0 defaults r-cli 1.1.0 r36h6115d3f_0 defaults r-clipr 0.6.0 r36h6115d3f_0 defaults r-cluster 2.0.8 r36h6115d3f_0 defaults r-codetools 0.2_16 r36h6115d3f_0 defaults r-colorspace 1.4_1 r36h6115d3f_0 defaults r-crayon 1.3.4 r36h6115d3f_0 defaults r-curl 3.3 r36h6115d3f_0 defaults r-data.table 1.12.2 r36h6115d3f_0 defaults r-dbi 1.0.0 r36h6115d3f_0 defaults r-dbplyr 1.4.0 r36h6115d3f_0 defaults r-dichromat 2.0_0 r36h6115d3f_4 defaults r-digest 0.6.18 r36h6115d3f_0 defaults r-dplyr 0.8.0.1 r36h6115d3f_0 defaults r-ellipsis 0.1.0 r36h6115d3f_0 defaults r-essentials 3.6.0 r36_0 defaults r-evaluate 0.13 r36h6115d3f_0 defaults r-fansi 0.4.0 r36h6115d3f_0 defaults r-forcats 0.4.0 r36h6115d3f_0 defaults r-foreach 1.4.4 r36h6115d3f_0 defaults r-foreign 0.8_71 r36h6115d3f_0 defaults r-formatr 1.6 r36h6115d3f_0 defaults r-fs 1.2.7 r36h6115d3f_0 defaults r-generics 0.0.2 r36h6115d3f_0 defaults r-ggplot2 3.1.1 r36h6115d3f_0 defaults r-glmnet 2.0_16 r36h6115d3f_0 defaults r-glue 1.3.1 r36h6115d3f_0 defaults r-gower 0.2.0 r36h6115d3f_0 defaults r-gtable 0.3.0 r36h6115d3f_0 defaults r-haven 2.1.0 r36h6115d3f_0 defaults r-hexbin 1.27.2 r36h6115d3f_0 defaults r-highr 0.8 r36h6115d3f_0 defaults r-hms 0.4.2 r36h6115d3f_0 defaults r-htmltools 0.3.6 r36h6115d3f_0 defaults r-htmlwidgets 1.3 r36h6115d3f_0 defaults r-httpuv 1.5.1 r36h6115d3f_0 defaults r-httr 1.4.0 r36h6115d3f_0 defaults r-ipred 0.9_8 r36h6115d3f_0 defaults r-irdisplay 0.7.0 r36h6115d3f_0 defaults r-irkernel 0.8.15 r36_0 defaults r-iterators 1.0.10 r36h6115d3f_0 defaults r-jsonlite 1.6 r36h6115d3f_0 defaults r-kernsmooth 2.23_15 r36h6115d3f_4 defaults r-knitr 1.22 r36h6115d3f_0 defaults r-labeling 0.3 r36h6115d3f_4 defaults r-later 0.8.0 r36h6115d3f_0 defaults r-lattice 0.20_38 r36h6115d3f_0 defaults r-lava 1.6.5 r36h6115d3f_0 defaults r-lazyeval 0.2.2 r36h6115d3f_0 defaults r-lubridate 1.7.4 r36h6115d3f_0 defaults r-magrittr 1.5 r36h6115d3f_4 defaults r-maps 3.3.0 r36h6115d3f_0 defaults r-markdown 0.9 r36h6115d3f_0 defaults r-mass 7.3_51.3 r36h6115d3f_0 defaults r-matrix 1.2_17 r36h6115d3f_0 defaults r-mgcv 1.8_28 r36h6115d3f_0 defaults r-mime 0.6 r36h6115d3f_0 defaults r-modelmetrics 1.2.2 r36h6115d3f_0 defaults r-modelr 0.1.4 r36h6115d3f_0 defaults r-munsell 0.5.0 r36h6115d3f_0 defaults r-nlme 3.1_139 r36h6115d3f_0 defaults r-nnet 7.3_12 r36h6115d3f_0 defaults r-numderiv 2016.8_1 r36h6115d3f_0 defaults r-openssl 1.3 r36h6115d3f_0 defaults r-pbdzmq 0.3_3 r36h6115d3f_0 defaults r-pillar 1.3.1 r36h6115d3f_0 defaults r-pkgconfig 2.0.2 r36h6115d3f_0 defaults r-plogr 0.2.0 r36h6115d3f_0 defaults r-plyr 1.8.4 r36h6115d3f_0 defaults r-prettyunits 1.0.2 r36h6115d3f_0 defaults r-processx 3.3.0 r36h6115d3f_0 defaults r-prodlim 2018.04.18 r36h6115d3f_0 defaults r-progress 1.2.0 r36h6115d3f_0 defaults r-promises 1.0.1 r36h6115d3f_0 defaults r-ps 1.3.0 r36h6115d3f_0 defaults r-purrr 0.3.2 r36h6115d3f_0 defaults r-quantmod 0.4_14 r36h6115d3f_0 defaults r-r6 2.4.0 r36h6115d3f_0 defaults r-randomforest 4.6_14 r36h6115d3f_0 defaults r-rbokeh 0.6.3 r36_0 defaults r-rcolorbrewer 1.1_2 r36h6115d3f_0 defaults r-rcpp 1.0.1 r36h6115d3f_0 defaults r-rcpproll 0.3.0 r36h6115d3f_0 defaults r-readr 1.3.1 r36h6115d3f_0 defaults r-readxl 1.3.1 r36h6115d3f_0 defaults r-recipes 0.1.5 r36h6115d3f_0 defaults r-recommended 3.6.0 r36_0 defaults r-rematch 1.0.1 r36h6115d3f_0 defaults r-repr 0.19.2 r36h6115d3f_0 defaults r-reprex 0.2.1 r36h6115d3f_0 defaults r-reshape2 1.4.3 r36h6115d3f_0 defaults r-rlang 0.3.4 r36h6115d3f_0 defaults r-rmarkdown 1.12 r36h6115d3f_0 defaults r-rpart 4.1_15 r36h6115d3f_0 defaults r-rstudioapi 0.10 r36h6115d3f_0 defaults r-rvest 0.3.3 r36h6115d3f_0 defaults r-scales 1.0.0 r36h6115d3f_0 defaults r-selectr 0.4_1 r36h6115d3f_0 defaults r-shiny 1.3.2 r36h6115d3f_0 defaults r-sourcetools 0.1.7 r36h6115d3f_0 defaults r-spatial 7.3_11 r36h6115d3f_4 defaults r-squarem 2017.10_1 r36h6115d3f_0 defaults r-stringi 1.4.3 r36h6115d3f_0 defaults r-stringr 1.4.0 r36h6115d3f_0 defaults r-survival 2.44_1.1 r36h6115d3f_0 defaults r-sys 3.2 r36h6115d3f_0 defaults r-tibble 2.1.1 r36h6115d3f_0 defaults r-tidyr 0.8.3 r36h6115d3f_0 defaults r-tidyselect 0.2.5 r36h6115d3f_0 defaults r-tidyverse 1.2.1 r36h6115d3f_0 defaults r-timedate 3043.102 r36h6115d3f_0 defaults r-tinytex 0.12 r36h6115d3f_0 defaults r-ttr 0.23_4 r36h6115d3f_0 defaults r-utf8 1.1.4 r36h6115d3f_0 defaults r-uuid 0.1_2 r36h6115d3f_4 defaults r-viridislite 0.3.0 r36h6115d3f_0 defaults r-whisker 0.3_2 r36h6115d3f_4 defaults r-withr 2.1.2 r36h6115d3f_0 defaults r-xfun 0.6 r36h6115d3f_0 defaults r-xml2 1.2.0 r36h6115d3f_0 defaults r-xtable 1.8_4 r36h6115d3f_0 defaults r-xts 0.11_2 r36h6115d3f_0 defaults r-yaml 2.2.0 r36h6115d3f_0 defaults r-zoo 1.8_5 r36h6115d3f_0 defaults scikit-learn 0.21.2 py37h6288b17_0 defaults scipy 1.2.1 py37h29ff71c_0 defaults send2trash 1.5.0 py37_0 defaults setuptools 41.0.1 py37_0 defaults six 1.12.0 py37_0 defaults sqlite 3.28.0 he774522_0 defaults terminado 0.8.2 py37_0 defaults testpath 0.4.2 py37_0 defaults tornado 6.0.3 py37he774522_0 defaults traitlets 4.3.2 py37_0 defaults vc 14.1 h0510ff6_4 defaults vs2013_runtime 12.0.21005 1 defaults vs2015_runtime 14.15.26706 h3a45250_4 defaults wcwidth 0.1.7 py37_0 defaults webencodings 0.5.1 py37_1 defaults wheel 0.33.4 py37_0 defaults wincertstore 0.2 py37_0 defaults winpty 0.4.3 4 defaults wrapt 1.11.2 py37he774522_0 defaults zeromq 4.3.1 h33f27b4_3 defaults
Ketz7
commented
5 years ago Having same issue while trying to import anything in to jupyter notebook, While trying to install python 3.7.2 an error occurs and it's shown below.
vigji
commented
5 years ago @mingwandroid I am experiencing similar issues with a new python build (3.7.4).
Below is what I get with conda list:
# Name Version Build Channel
_anaconda_depends 2019.03 py37_0 defaults
_ipyw_jlab_nb_ext_conf 0.1.0 py37_0 defaults
alabaster 0.7.12 py37_0 defaults
anaconda custom py37_1 defaults
anaconda-client 1.7.2 py37_0 defaults
anaconda-navigator 1.9.7 py37_0 defaults
anaconda-project 0.8.3 py_0 defaults
asn1crypto 0.24.0 py37_0 defaults
astroid 2.2.5 py37_0 defaults
astropy 3.2.1 py37he774522_0 defaults
atomicwrites 1.3.0 py37_1 defaults
attrs 19.1.0 py37_1 defaults
babel 2.7.0 py_0 defaults
backcall 0.1.0 py37_0 defaults
backports 1.0 py_2 defaults
backports.functools_lru_cache 1.5 py_2 defaults
backports.os 0.1.1 py37_0 defaults
backports.shutil_get_terminal_size 1.0.0 py37_2 defaults
backports.tempfile 1.0 py_1 defaults
backports.weakref 1.0.post1 py_1 defaults
beautifulsoup4 4.8.0 py37_0 defaults
bitarray 1.0.1 py37he774522_0 defaults
bkcharts 0.2 py37_0 defaults
blas 1.0 mkl defaults
bleach 3.1.0 py37_0 defaults
blosc 1.16.3 h7bd577a_0 defaults
bokeh 1.3.4 py37_0 defaults
boto 2.49.0 py37_0 defaults
bottleneck 1.2.1 py37h452e1ab_1 defaults
bzip2 1.0.8 he774522_0 defaults
ca-certificates 2019.5.15 1 defaults
certifi 2019.6.16 py37_1 defaults
cffi 1.12.3 py37h7a1dbc1_0 defaults
chardet 3.0.4 py37_1003 defaults
click 7.0 py37_0 defaults
cloudpickle 1.2.1 py_0 defaults
clyent 1.2.2 py37_1 defaults
colorama 0.4.1 py37_0 defaults
comtypes 1.1.7 py37_0 defaults
conda 4.7.11 py37_0 defaults
conda-build 3.18.8 py37_0 defaults
conda-env 2.6.0 1 defaults
conda-package-handling 1.3.11 py37_0 defaults
conda-verify 3.4.2 py_1 defaults
console_shortcut 0.1.1 3 defaults
contextlib2 0.5.5 py37_0 defaults
cryptography 2.7 py37h7a1dbc1_0 defaults
curl 7.65.3 h2a8f88b_0 defaults
cycler 0.10.0 py37_0 defaults
cython 0.29.13 py37ha925a31_0 defaults
cytoolz 0.10.0 py37he774522_0 defaults
dask 2.3.0 py_0 defaults
dask-core 2.3.0 py_0 defaults
decorator 4.4.0 py37_1 defaults
defusedxml 0.6.0 py_0 defaults
distributed 2.3.2 py_1 defaults
docutils 0.15.2 py37_0 defaults
entrypoints 0.3 py37_0 defaults
et_xmlfile 1.0.1 py37_0 defaults
fastcache 1.1.0 py37he774522_0 defaults
filelock 3.0.12 py_0 defaults
flask 1.1.1 py_0 defaults
freetype 2.9.1 ha9979f8_1 defaults
fsspec 0.4.0 py_0 defaults
future 0.17.1 py37_0 defaults
get_terminal_size 1.0.0 h38e98db_0 defaults
gevent 1.4.0 py37he774522_0 defaults
git 2.20.1 h6bb4b03_0 defaults
gitdb2 2.0.5 pypi_0 pypi
gitpython 3.0.2 pypi_0 pypi
glob2 0.7 py_0 defaults
greenlet 0.4.15 py37hfa6e2cd_0 defaults
h5py 2.9.0 py37h5e291fa_0 defaults
hdf5 1.10.4 h7ebc959_0 defaults
heapdict 1.0.0 py37_2 defaults
html5lib 1.0.1 py37_0 defaults
icc_rt 2019.0.0 h0cc432a_1 defaults
icu 58.2 ha66f8fd_1 defaults
idna 2.8 py37_0 defaults
imageio 2.5.0 py37_0 defaults
imagesize 1.1.0 py37_0 defaults
importlib_metadata 0.19 py37_0 defaults
intel-openmp 2019.4 245 defaults
ipykernel 5.1.2 py37h39e3cac_0 defaults
ipython 7.8.0 py37h39e3cac_0 defaults
ipython_genutils 0.2.0 py37_0 defaults
ipywidgets 7.5.1 py_0 defaults
isort 4.3.21 py37_0 defaults
itsdangerous 1.1.0 py37_0 defaults
jdcal 1.4.1 py_0 defaults
jedi 0.15.1 py37_0 defaults
jinja2 2.10.1 py37_0 defaults
joblib 0.13.2 py37_0 defaults
jpeg 9b hb83a4c4_2 defaults
json5 0.8.5 py_0 defaults
jsonschema 3.0.2 py37_0 defaults
jupyter 1.0.0 py37_7 defaults
jupyter_client 5.3.1 py_0 defaults
jupyter_console 6.0.0 py37_0 defaults
jupyter_core 4.5.0 py_0 defaults
jupyterlab 1.0.2 py37hf63ae98_0 defaults
jupyterlab_server 1.0.0 py_1 defaults
keyring 18.0.0 py37_0 defaults
kiwisolver 1.1.0 py37ha925a31_0 defaults
krb5 1.16.1 hc04afaa_7 defaults
lazy-object-proxy 1.4.2 py37he774522_0 defaults
libarchive 3.3.3 h0643e63_5 defaults
libcurl 7.65.3 h2a8f88b_0 defaults
libiconv 1.15 h1df5818_7 defaults
liblief 0.9.0 ha925a31_2 defaults
libpng 1.6.37 h2a8f88b_0 defaults
libsodium 1.0.16 h9d3ae62_0 defaults
libssh2 1.8.2 h7a1dbc1_0 defaults
libtiff 4.0.10 hb898794_2 defaults
libxml2 2.9.9 h464c3ec_0 defaults
libxslt 1.1.33 h579f668_0 defaults
llvmlite 0.29.0 py37ha925a31_0 defaults
locket 0.2.0 py37_1 defaults
lxml 4.4.1 py37h1350720_0 defaults
lz4-c 1.8.1.2 h2fa13f4_0 defaults
lzo 2.10 h6df0209_2 defaults
m2w64-gcc-libgfortran 5.3.0 6 defaults
m2w64-gcc-libs 5.3.0 7 defaults
m2w64-gcc-libs-core 5.3.0 7 defaults
m2w64-gmp 6.1.0 2 defaults
m2w64-libwinpthread-git 5.0.0.4634.697f757 2 defaults
markupsafe 1.1.1 py37he774522_0 defaults
matplotlib 3.1.1 py37hc8f65d3_0 defaults
mccabe 0.6.1 py37_1 defaults
menuinst 1.4.16 py37he774522_0 defaults
mistune 0.8.4 py37he774522_0 defaults
mkl 2019.4 245 defaults
mkl-service 2.0.2 py37he774522_0 defaults
mkl_fft 1.0.14 py37h14836fe_0 defaults
mkl_random 1.0.2 py37h343c172_0 defaults
mock 3.0.5 py37_0 defaults
more-itertools 7.2.0 py37_0 defaults
mpmath 1.1.0 py37_0 defaults
msgpack-python 0.6.1 py37h74a9793_1 defaults
msys2-conda-epoch 20160418 1 defaults
multipledispatch 0.6.0 py37_0 defaults
navigator-updater 0.2.1 py37_0 defaults
nbconvert 5.5.0 py_0 defaults
nbformat 4.4.0 py37_0 defaults
networkx 2.3 py_0 defaults
nltk 3.4.5 py37_0 defaults
nose 1.3.7 py37_2 defaults
notebook 6.0.0 py37_0 defaults
numba 0.44.1 py37hf9181ef_0 defaults
numexpr 2.7.0 py37hdce8814_0 defaults
numpy 1.16.4 py37h19fb1c0_0 defaults
numpy-base 1.16.4 py37hc3f5095_0 defaults
numpydoc 0.9.1 py_0 defaults
olefile 0.46 py37_0 defaults
openpyxl 2.6.2 py_0 defaults
openssl 1.1.1c he774522_1 defaults
packaging 19.1 py37_0 defaults
pandas 0.25.1 py37ha925a31_0 defaults
pandoc 2.2.3.2 0 defaults
pandocfilters 1.4.2 py37_1 defaults
parso 0.5.1 py_0 defaults
partd 1.0.0 py_0 defaults
path.py 12.0.1 py_0 defaults
pathlib2 2.3.4 py37_0 defaults
patsy 0.5.1 py37_0 defaults
pep8 1.7.1 py37_0 defaults
pickleshare 0.7.5 py37_0 defaults
pillow 6.1.0 py37hdc69c19_0 defaults
pip 19.2.2 py37_0 defaults
pkginfo 1.5.0.1 py37_0 defaults
pluggy 0.12.0 py_0 defaults
ply 3.11 py37_0 defaults
powershell_shortcut 0.0.1 2 defaults
prometheus_client 0.7.1 py_0 defaults
prompt_toolkit 2.0.9 py37_0 defaults
psutil 5.6.3 py37he774522_0 defaults
py 1.8.0 py37_0 defaults
py-lief 0.9.0 py37ha925a31_2 defaults
pycodestyle 2.5.0 py37_0 defaults
pycosat 0.6.3 py37hfa6e2cd_0 defaults
pycparser 2.19 py37_0 defaults
pycrypto 2.6.1 py37hfa6e2cd_9 defaults
pycurl 7.43.0.3 py37h7a1dbc1_0 defaults
pyflakes 2.1.1 py37_0 defaults
pygments 2.4.2 py_0 defaults
pylint 2.3.1 py37_0 defaults
pyodbc 4.0.27 py37ha925a31_0 defaults
pyopenssl 19.0.0 py37_0 defaults
pyparsing 2.4.2 py_0 defaults
pyqt 5.9.2 py37h6538335_2 defaults
pyreadline 2.1 py37_1 defaults
pyrsistent 0.14.11 py37he774522_0 defaults
pysocks 1.7.0 py37_0 defaults
pytables 3.5.2 py37h1da0976_1 defaults
pytest 5.0.1 py37_0 defaults
pytest-arraydiff 0.3 py37h39e3cac_0 defaults
pytest-astropy 0.5.0 py37_0 defaults
pytest-doctestplus 0.3.0 py37_0 defaults
pytest-openfiles 0.3.2 py37_0 defaults
pytest-remotedata 0.3.2 py37_0 defaults
python 3.7.4 h5263a28_0 defaults
python-dateutil 2.8.0 py37_0 defaults
python-libarchive-c 2.8 py37_13 defaults
pytz 2019.2 py_0 defaults
pywavelets 1.0.3 py37h8c2d366_1 defaults
pywin32 223 py37hfa6e2cd_1 defaults
pywinpty 0.5.5 py37_1000 defaults
pyyaml 5.1.2 py37he774522_0 defaults
pyzmq 18.1.0 py37ha925a31_0 defaults
qt 5.9.7 vc14h73c81de_0 defaults
qtawesome 0.5.7 py37_1 defaults
qtconsole 4.5.4 py_0 defaults
qtpy 1.9.0 py_0 defaults
requests 2.22.0 py37_0 defaults
rope 0.14.0 py_0 defaults
ruamel_yaml 0.15.46 py37hfa6e2cd_0 defaults
scikit-image 0.15.0 py37ha925a31_0 defaults
scikit-learn 0.21.2 py37h6288b17_0 defaults
scipy 1.3.1 py37h29ff71c_0 defaults
seaborn 0.9.0 py37_0 defaults
send2trash 1.5.0 py37_0 defaults
setuptools 41.0.1 py37_0 defaults
simplegeneric 0.8.1 py37_2 defaults
singledispatch 3.4.0.3 py37_0 defaults
sip 4.19.8 py37h6538335_0 defaults
six 1.12.0 py37_0 defaults
smmap2 2.0.5 pypi_0 pypi
snappy 1.1.7 h777316e_3 defaults
snowballstemmer 1.9.0 py_0 defaults
sortedcollections 1.1.2 py37_0 defaults
sortedcontainers 2.1.0 py37_0 defaults
soupsieve 1.9.2 py37_0 defaults
sphinx 2.1.2 py_0 defaults
sphinxcontrib 1.0 py37_1 defaults
sphinxcontrib-applehelp 1.0.1 py_0 defaults
sphinxcontrib-devhelp 1.0.1 py_0 defaults
sphinxcontrib-htmlhelp 1.0.2 py_0 defaults
sphinxcontrib-jsmath 1.0.1 py_0 defaults
sphinxcontrib-qthelp 1.0.2 py_0 defaults
sphinxcontrib-serializinghtml 1.1.3 py_0 defaults
sphinxcontrib-websupport 1.1.2 py_0 defaults
spyder 3.3.6 py37_0 defaults
spyder-kernels 0.5.1 py37_0 defaults
sqlalchemy 1.3.7 py37he774522_0 defaults
sqlite 3.29.0 he774522_0 defaults
statsmodels 0.10.1 py37h8c2d366_0 defaults
sympy 1.4 py37_0 defaults
tbb 2019.4 h74a9793_0 defaults
tblib 1.4.0 py_0 defaults
terminado 0.8.2 py37_0 defaults
testpath 0.4.2 py37_0 defaults
tk 8.6.8 hfa6e2cd_0 defaults
toolz 0.10.0 py_0 defaults
tornado 6.0.3 py37he774522_0 defaults
tqdm 4.32.1 py_0 defaults
traitlets 4.3.2 py37_0 defaults
unicodecsv 0.14.1 py37_0 defaults
urllib3 1.24.2 py37_0 defaults
vc 14.1 h0510ff6_4 defaults
vs2015_runtime 14.16.27012 hf0eaf9b_0 defaults
wcwidth 0.1.7 py37_0 defaults
webencodings 0.5.1 py37_1 defaults
werkzeug 0.15.5 py_0 defaults
wheel 0.33.4 py37_0 defaults
widgetsnbextension 3.5.1 py37_0 defaults
win_inet_pton 1.1.0 py37_0 defaults
win_unicode_console 0.5 py37_0 defaults
wincertstore 0.2 py37_0 defaults
winpty 0.4.3 4 defaults
wrapt 1.11.2 py37he774522_0 defaults
xlrd 1.2.0 py37_0 defaults
xlsxwriter 1.1.8 py_0 defaults
xlwings 0.15.8 py37_0 defaults
xlwt 1.3.0 py37_0 defaults
xz 5.2.4 h2fa13f4_4 defaults
yaml 0.1.7 hc54c509_2 defaults
zeromq 4.3.1 h33f27b4_3 defaults
zict 1.0.0 py_0 defaults
zipp 0.5.2 py_0 defaults
zlib 1.2.11 h62dcd97_3 defaults
zstd 1.3.7 h508b16e_0 defaultsI have identified where the issue is coming from. If I ask where libiomp5md.dll, I get some dlls with higher priority than my anaconda one:
C:\Program Files\Point Grey Research\Spinnaker\bin64\vs2015\libiomp5md.dll
C:\Program Files\Point Grey Research\Spinnaker\bin\vs2015\libiomp5md.dll
C:\Program Files\Point Grey Research\FlyCapture2\bin64\libiomp5md.dll
C:\Program Files\Point Grey Research\FlyCapture2\bin64\vs2013\libiomp5md.dll
C:\Program Files\Point Grey Research\FlyCapture2\bin64\vs2015\libiomp5md.dll
C:\Users\...\anaconda3\Library\bin\libiomp5md.dllEven setting set CONDA_DLL_SEARCH_MODIFICATION_ENABLE=1 does not do anything for me, and python crashes whenever I try to import numpy. The only solution I found was renaming the other file to have it not reachable wy windows, but this makes my other package not usable. Is there something else I could try?
Ketz7
commented
5 years ago i just started using it on a VM. Got fed up with this error.
ghost
commented
4 years ago Please someone reply a fix or a workaround , I am done wasting my time , I'm getting tilted and I want to rage quit hard. Why the hell is this problem still existing? Seriously a waste of my money.
Ketz7
commented
4 years ago Personally, i used a Vmware and installed it on linux. Stop trying to work it in windows, it was a massive waste of time.
On Tue, 17 Dec 2019, 22:06 Ashvith, notifications@github.com wrote:
Please someone reply a fix or a workaround , I am done wasting my time , I'm getting tilted and I want to rage quit hard. Why the hell is this problem still existing? Seriously a waste of my money.
— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/ContinuumIO/anaconda-issues/issues/10672?email_source=notifications&email_token=AGMS5HEBABGMKMMDOY4VHBLQZD5ZVA5CNFSM4GZY4JJKYY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOEHDEWLY#issuecomment-566643503, or unsubscribe https://github.com/notifications/unsubscribe-auth/AGMS5HB2ICJLEROXA3LQH7LQZD5ZVANCNFSM4GZY4JJA .
ghost
commented
4 years ago I guess I will try VMWare now. Like seriously , are the devs dead or something? I hear so many people commenting on the old version working fine for them. I guess , so the final answer is : issue not resolved. We should close this thread then.
Ketz7
commented
4 years ago It messes up with the dll if u have preinstalled something else which uses it as well, so the anaconda reads the previous one and not the one installed by itself, some of the solutions do work but idk why it didn't work for me. So i just used Vmware and called it a day.
On Tue, 17 Dec 2019, 22:12 Ashvith, notifications@github.com wrote:
I guess I will try VMWare now. Like seriously , are the devs dead or something? I hear so many people commenting on the old version working fine for them.
— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/ContinuumIO/anaconda-issues/issues/10672?email_source=notifications&email_token=AGMS5HDVVLQDZU4JDOBLT2DQZD6OLA5CNFSM4GZY4JJKYY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOEHDFIAI#issuecomment-566645761, or unsubscribe https://github.com/notifications/unsubscribe-auth/AGMS5HB2TXDWT6QZJQHFPD3QZD6OLANCNFSM4GZY4JJA .
josephernest
commented
4 years ago @Ketz7 Installing VMWare + a new OS + Anaconda is not really a "handy" solution.
Is there a fix nowadays for this issue?
In my case it's The ordinal 242 could not be located in the dynamic link library libiomp5md.dll with Windows 7 x64 + Anaconda3-2019.10-Windows-x86_64.exe
I tried with 2019-10, 2019-07, 2019-03, and it's the same.
mingwandroid
commented
4 years ago Please try https://github.com/ContinuumIO/anaconda-issues/issues/10672#issuecomment-466716217
.. and let us know if it works for you. Thanks.
ghost
commented
4 years ago I'm just a student , so don't damage your code and files , I am not responsible , although it may not happen at all. The only fix is this- don't update Anaconda, just update the conda repository files. Uninstall the old Anaconda , and then download the older Anaconda .DONE. Windows https://repo.continuum.io/archive/Anaconda3-4.2.0-Windows-x86.exe
Windows 64 bit https://repo.continuum.io/archive/Anaconda3-4.2.0-Windows-x86_64.exe
Mac https://repo.continuum.io/archive/Anaconda3-4.2.0-MacOSX-x86_64.pkg
Linux https://repo.continuum.io/archive/Anaconda2-4.2.0-Linux-x86.sh
Linux 64 bit https://repo.continuum.io/archive/Anaconda3-4.2.0-Linux-x86_64.sh
In case , you want the new spyder or Jupyter updates , follow this-
Go to Anaconda Navigator->environments->choose "root" (in my case)->press the play button next to it->go to the terminal and manually update the required package by first downloading the repository ,then update it. You can find on Google , about how to fix it.
I am not WRITING the terminal code, because I am not an expert in that and I don't want to damage your software and code, but just check out some documentation and you will figure out.
here is a sample of what I did-
https://docs.anaconda.com/anaconda/install/update-version/
https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-pkgs.html
conda update --all is the actual command but I used this-
conda update conda //actually I did this like way back in 2019 , so I must be writting some dumb
conda install conda //commands , forgive me
Again , I have no idea what this does , but it works.
USE THE TERMINAL TO UPDATE, IT WORKS FOR ME.
Forget about the new Anaconda version.
And yes, you can add repository for Jupyter I guess. I tried the Spyder v4 beta.
josephernest
commented
4 years ago It is a case of you having conflicting software installed and the wrong version of the dll is being picked up.
This should not be a problem, we all have lots of programs installed on our computers, and all of them either use the C:\Windows\System32 files, or local .dll filesin the program folder, or use statically linked libs.
Possible solution: Shouldn't Anaconda pack the right .dll in the Anaconda installation folder?
So that this has the priority, and then it wouldn't matter if similar files (but different version) are found in C:\Windows\System32.
I think that this is how many many Windows programs ensure that there are no .dll problems.
Try to open a jupyterbnb after fresh installation of Anaconda. Executing first cell then the error emerges.
Anaconda or Miniconda version:
Operating System:
conda infoconda list --show-channel-urls