I'm working on applying a clustering algorithm (sklearn.AgglomerativeClustering) on a dataset. I've tried running this same block of code in Spyder IDE and VScode, each time the cell runs for about 35-45s then returns a message that the kernel crashed unexpectedly and and new kernel is created. Im using Python 3.10 with Anaconda package manager.
Spyder had no information about the kernel crash but in VScode I was pointed to this github post Kernel-crashes. I figured somehow my numpy installation was affecting kernel performance or execution. I created a new virtual env using conda; re-installed numpy, pandas, sci-kit learn, etc. Same kernel crash occurring with the same message.
I am using a new Macbook with the m1 chip. Unsure if that's has an influence or is a hint at how to solve this issue. Did see the sci-kit learn installation docs had separate section sci-kit learn install docs about installing with m1 chip but to be honest wasn't exactly sure how to interpret and use that info.
this is the code Im trying to run that causes the kernel to crash. the pca_features is the numpy array return after running .fit_transform method on my raw data. PCA executed fine for what it's worth and showed no issues. Tried using subset of rows, first 5000, to see if that helped cell run at all but still no luck.
Error Message:
The Kernel crashed while executing code in the the current cell or a previous cell. Please review the code in the cell(s) to identify a possible cause of the failure. Click here for more info. View Jupyter log for further details.
Canceled future for execute_request message before replies were done
Im open to other clustering algorithms but fact that I can't get this to execute makes me less confident any others (e.g. KMeans) would successfully run. But I could be wrong.
My goal is get a unsupervised clustering algorithm fitted to the data so I can get labels for each observation and compare it against primary components from PCA.
```
aggclus = AgglomerativeClustering(n_clusters = 4, affinity="euclidean",linkage="ward")
subset_pcafeatures = pca_features[:5000,5]
cluster_labels = aggclus.fit_predict(pca_features)
```
Any tips/advice/help/assistance would be much appreciated. Thank you
Updated 29-01-23
output from $ conda list
# packages in environment at ../anaconda3/envs/work-env:
#
# Name Version Build Channel
appnope 0.1.3 pyhd8ed1ab_0 conda-forge
asttokens 2.2.1 pyhd8ed1ab_0 conda-forge
backcall 0.2.0 pyh9f0ad1d_0 conda-forge
backports 1.0 pyhd8ed1ab_3 conda-forge
backports.functools_lru_cache 1.6.4 pyhd8ed1ab_0 conda-forge
blas 2.116 openblas conda-forge
blas-devel 3.9.0 16_osxarm64_openblas conda-forge
bottleneck 1.3.5 py310h96f19d2_0
brotli 1.0.9 h1a28f6b_7
brotli-bin 1.0.9 h1a28f6b_7
bzip2 1.0.8 h620ffc9_4
ca-certificates 2023.01.10 hca03da5_0
certifi 2022.12.7 py310hca03da5_0
comm 0.1.2 pyhd8ed1ab_0 conda-forge
contourpy 1.0.5 py310h525c30c_0
cycler 0.11.0 pyhd3eb1b0_0
debugpy 1.5.1 py310hc377ac9_0
decorator 5.1.1 pyhd8ed1ab_0 conda-forge
entrypoints 0.4 pyhd8ed1ab_0 conda-forge
executing 1.2.0 pyhd8ed1ab_0 conda-forge
fftw 3.3.9 h1a28f6b_1
fonttools 4.25.0 pyhd3eb1b0_0
freetype 2.12.1 h1192e45_0
giflib 5.2.1 h80987f9_1
ipykernel 6.20.2 pyh736e0ef_0 conda-forge
ipython 8.8.0 pyhd1c38e8_0 conda-forge
jedi 0.18.2 pyhd8ed1ab_0 conda-forge
joblib 1.1.1 py310hca03da5_0
jpeg 9e h1a28f6b_0
jupyter_client 7.4.9 pyhd8ed1ab_0 conda-forge
jupyter_core 5.1.1 py310hca03da5_0
kiwisolver 1.4.4 py310h313beb8_0
lcms2 2.12 hba8e193_0
lerc 3.0 hc377ac9_0
libblas 3.9.0 16_osxarm64_openblas conda-forge
libbrotlicommon 1.0.9 h1a28f6b_7
libbrotlidec 1.0.9 h1a28f6b_7
libbrotlienc 1.0.9 h1a28f6b_7
libcblas 3.9.0 16_osxarm64_openblas conda-forge
libcxx 14.0.6 h848a8c0_0
libdeflate 1.8 h1a28f6b_5
libffi 3.4.2 hca03da5_6
libgfortran 5.0.0 11_3_0_hca03da5_28
libgfortran5 11.3.0 h009349e_28
liblapack 3.9.0 16_osxarm64_openblas conda-forge
liblapacke 3.9.0 16_osxarm64_openblas conda-forge
libopenblas 0.3.21 openmp_hc731615_3 conda-forge
libpng 1.6.37 hb8d0fd4_0
libsodium 1.0.18 h27ca646_1 conda-forge
libtiff 4.5.0 h2fd578a_0
libwebp 1.2.4 h68602c7_0
libwebp-base 1.2.4 h1a28f6b_0
llvm-openmp 14.0.6 hc6e5704_0
lz4-c 1.9.4 h313beb8_0
matplotlib 3.6.2 py310hca03da5_0
matplotlib-base 3.6.2 py310h8bbb115_0
matplotlib-inline 0.1.6 pyhd8ed1ab_0 conda-forge
missingno 0.4.2 pyhd3eb1b0_1
munkres 1.1.4 py_0
ncurses 6.4 h313beb8_0
nest-asyncio 1.5.6 pyhd8ed1ab_0 conda-forge
numexpr 2.8.4 py310hecc3335_0
numpy 1.23.5 py310hb93e574_0
numpy-base 1.23.5 py310haf87e8b_0
openblas 0.3.21 openmp_hf78f355_3 conda-forge
openssl 1.1.1s h1a28f6b_0
packaging 23.0 pyhd8ed1ab_0 conda-forge
pandas 1.5.2 py310h46d7db6_0
parso 0.8.3 pyhd8ed1ab_0 conda-forge
pexpect 4.8.0 pyh1a96a4e_2 conda-forge
pickleshare 0.7.5 py_1003 conda-forge
pillow 9.3.0 py310hf4a492f_1
pip 22.3.1 py310hca03da5_0
platformdirs 2.6.2 pyhd8ed1ab_0 conda-forge
prompt-toolkit 3.0.36 pyha770c72_0 conda-forge
psutil 5.9.0 py310h1a28f6b_0
ptyprocess 0.7.0 pyhd3deb0d_0 conda-forge
pure_eval 0.2.2 pyhd8ed1ab_0 conda-forge
pygments 2.14.0 pyhd8ed1ab_0 conda-forge
pyparsing 3.0.9 py310hca03da5_0
python 3.10.9 hc0d8a6c_0
python-dateutil 2.8.2 pyhd8ed1ab_0 conda-forge
pytz 2022.7 py310hca03da5_0
pyzmq 23.2.0 py310hc377ac9_0
readline 8.2 h1a28f6b_0
scikit-learn 1.2.0 py310h313beb8_0
scipy 1.9.3 py310h20cbe94_0
seaborn 0.12.2 py310hca03da5_0
setuptools 65.6.3 py310hca03da5_0
six 1.16.0 pyh6c4a22f_0 conda-forge
sqlite 3.40.1 h7a7dc30_0
stack_data 0.6.2 pyhd8ed1ab_0 conda-forge
threadpoolctl 2.2.0 pyh0d69192_0
tk 8.6.12 hb8d0fd4_0
tornado 6.2 py310h1a28f6b_0
traitlets 5.8.1 pyhd8ed1ab_0 conda-forge
typing-extensions 4.4.0 hd8ed1ab_0 conda-forge
typing_extensions 4.4.0 pyha770c72_0 conda-forge
tzdata 2022g h04d1e81_0
wcwidth 0.2.6 pyhd8ed1ab_0 conda-forge
wheel 0.37.1 pyhd3eb1b0_0
xz 5.2.10 h80987f9_1
zeromq 4.3.4 hbdafb3b_1 conda-forge
zlib 1.2.13 h5a0b063_0
zstd 1.5.2 h8574219_0
I am trying to run my simple AI program but I keep getting this DLL error:
ImportError: Could not find the DLL(s) 'msvcp140_1.dll'. TensorFlow requires that these DLLs be installed in a directory that is named in your %PATH% environment variable.
You may install these DLLs by downloading "Microsoft C++ Redistributable for Visual Studio 2015, 2017 and 2019" for your platform from this URL:
https://support.microsoft.com/help/2977003/the-latest-supported-visual-c-downloads
I went ahead and downloaded that support file and restarted my computer but that didn't work. I also found the specified dll file in my system 32 and made sure it was in my PATH environment for both system and user. Still doesn't work. I am using python3.8 with gpu enabled. Am
I missing something? Is this a version issue because it has never happened on my previous projects.
Here are my libraries:
_tflow_select 2.3.0
absl-py 0.12.0
aggdraw 1.3.12
aiofiles 0.7.0
aiohttp 3.7.4
alembic 1.6.4
argon2-cffi 20.1.0
astor 0.8.1
asttokens 2.0.5
astunparse 1.6.3
async-timeout 3.0.1
async_generator 1.10
attrs 20.3.0
autokeras 1.0.16
backcall 0.2.0
beautifulsoup4 4.9.3
blas 1.0
bleach 3.3.0
blinker 1.4
brotlipy 0.7.0
ca-certificates 2021.7.5
cachetools 4.2.2
certifi 2021.5.30
cffi 1.14.5
chardet 4.0.0
click 7.1.2
cliff 3.8.0
cmaes 0.8.2
cmd2 2.1.2
colorama 0.4.4
colorlog 5.0.1
coverage 5.5
cryptography 3.4.7
cycler 0.10.0
cython 0.29.23
decorator 5.0.9
defusedxml 0.7.1
docopt 0.6.2
entrypoints 0.3
executing 0.6.0
fastapi 0.65.1
flaml 0.6.9
flatbuffers 1.12
freetype 2.10.4
gast 0.4.0
gin-config 0.4.0
google-auth 1.30.0
google-auth-oauthlib 0.4.4
google-pasta 0.2.0
greenlet 1.1.0
grpcio 1.34.1
h11 0.12.0
h5py 3.1.0
hdf5 1.10.5
icc_rt 2019.0.0
icecream 2.1.0
icu 58.2
idna 2.10
importlib-metadata 3.10.0
importlib_metadata 3.10.0
intel-openmp 2021.2.0
ipykernel 5.3.4
ipython 7.25.0
ipython_genutils 0.2.0
ipywidgets 7.6.3
jedi 0.18.0
jinja2 3.0.1
joblib 1.0.1
jpeg 9b
jsonschema 3.2.0
jupyter_client 6.1.12
jupyter_core 4.7.1
jupyterlab_pygments 0.1.2
jupyterlab_widgets 1.0.0
keras 2.7.0
keras-applications 1.0.8
keras-nightly 2.5.0.dev2021032900
keras-preprocessing 1.1.2
keras-tuner 1.0.4
kiwisolver 1.3.1
kt-legacy 1.0.4
libclang 12.0.0
libpng 1.6.37
libprotobuf 3.14.0
libsodium 1.0.18
libtiff 4.1.0
lightgbm 3.3.1
llvmlite 0.37.0
lxml 4.6.3
lz4-c 1.9.3
m2w64-gcc-libgfortran 5.3.0
m2w64-gcc-libs 5.3.0
m2w64-gcc-libs-core 5.3.0
m2w64-gmp 6.1.0
m2w64-libwinpthread-git 5.0.0.4634.697f757
mako 1.1.4
markdown 3.3.4
markupsafe 2.0.1
matplotlib 3.3.4
matplotlib-base 3.3.4
matplotlib-inline 0.1.2
mistune 0.8.4
mkl 2021.2.0
mkl-service 2.3.0
mkl_fft 1.3.0
mkl_random 1.2.1
msys2-conda-epoch 20160418
multidict 5.1.0
nbclient 0.5.3
nbconvert 6.1.0
nbformat 5.1.3
nest-asyncio 1.5.1
notebook 6.4.0
numba 0.54.0
numexpr 2.7.3
numpy 1.19.5
oauthlib 3.1.0
olefile 0.46
opencv-contrib-python 4.5.3.56
opencv-python 4.5.3.56
openssl 1.1.1k
opt-einsum 3.3.0
opt_einsum 3.1.0
optuna 2.8.0
orca 1.6
packaging 20.9
pandas 1.2.4
pandocfilters 1.4.3
parso 0.8.2
pbr 5.6.0
pickleshare 0.7.5
pillow 8.2.0
pip 21.3.1
pipreqs 0.4.10
plotly 4.14.3
plotly-orca 1.3.1
prettytable 2.1.0
prometheus_client 0.11.0
prompt-toolkit 3.0.17
protobuf 3.16.0
psutil 5.8.0
pyasn1 0.4.8
pyasn1-modules 0.2.8
pycparser 2.20
pydantic 1.8.1
pydot 1.4.2
pygments 2.9.0
pyjwt 2.1.0
pyopenssl 20.0.1
pyparsing 2.4.7
pyperclip 1.8.2
pyqt 5.9.2
pyreadline 2.1
pyreadline3 3.3
pyrsistent 0.17.3
pysocks 1.7.1
python 3.8.0
python-dateutil 2.8.1
python-dotenv 0.17.1
python-editor 1.0.4
python-multipart 0.0.5
python_abi 3.8
pytz 2021.1
pywin32 227
pywinpty 0.5.7
pyyaml 5.4.1
pyzmq 20.0.0
qt 5.9.7
requests 2.25.1
requests-oauthlib 1.3.0
retrying 1.3.3
rsa 4.7.2
scikit-learn 0.24.2
scipy 1.6.2
seaborn 0.11.1
send2trash 1.5.0
setuptools 52.0.0
sip 4.19.13
six 1.15.0
soupsieve 2.2.1
sqlalchemy 1.4.22
sqlite 3.35.4
starlette 0.14.2
stevedore 3.3.0
tables 3.6.1
tensorboard 2.7.0
tensorboard-data-server 0.6.1
tensorboard-plugin-wit 1.8.0
tensorflow 2.5.0
tensorflow-addons 0.13.0
tensorflow-base 2.3.0
tensorflow-estimator 2.5.0
tensorflow-gpu 2.4.1
tensorflow-io-gcs-filesystem 0.21.0
termcolor 1.1.0
terminado 0.9.4
testpath 0.5.0
threadpoolctl 2.1.0
tk 8.6.10
toolz 0.11.1
tornado 6.1
tqdm 4.61.2
traitlets 5.0.5
typeguard 2.12.1
typing-extensions 3.7.4.3
typing_extensions 3.7.4.3
urllib3 1.26.4
uvicorn 0.13.4
vc 14.2
visualkeras 0.0.2
vs2015_runtime 14.27.29016
watchgod 0.6
wcwidth 0.2.5
webencodings 0.5.1
websockets 8.1
werkzeug 1.0.1
wheel 0.36.2
widgetsnbextension 3.5.1
win_inet_pton 1.1.0
wincertstore 0.2
winpty 0.4.3
wrapt 1.12.1
xgboost 1.3.3
xz 5.2.5
yaml 0.2.5
yarg 0.1.9
yarl 1.6.3
zeromq 4.3.3
zipp 3.4.1
zlib 1.2.11
zstd 1.4.9
First, check to see if msvcp140.dll (not msvcp140_1.dll) is installed.
Download it here: https://www.microsoft.com/en-us/download/details.aspx?id=53587
Restart your computer and see if it works.
If that doesn't work try copying msvcp140_1.dll into: C:\Users\PCName\AppData\Local\Programs\Python\Python38
If nothing still works, it could be a version issue.
As far as I know, Python 3.8 support requires TensorFlow 2.2 or later.
Run this:
pip install tensorflow ==2.2.0
Look here for system requirements: https://www.tensorflow.org/install/pip#system-requirements
Tensorflow will work only on Windows 7 or later (64-bit) (According to the above link)
Package location: https://storage.googleapis.com/tensorflow/windows/gpu/tensorflow_gpu-2.7.0-cp38-cp38-win_amd64.whl
If you are using 32-bit python,
replace your 32-bit python with a 64-bit version. Tensorflow does not support 32-bit architecture.
I'm using pyinstaller to build an .exe file on windows including a QT GUI and some image read and write functions. In my main python file, I do import tifffile for reading .tiff images. Pyinstaller compiles my project without errors. When I run it, I get a warning in my terminal saying:
path_to_my_project\tifffile\tiffffile.py:8211: UserWarning: No module named 'tifffile._tifffile' Functionality might be degraded or be slow.
However, I can use the parts of my app that use the corresponding functions from the tifffile module. My question now is, how I can fix this or if it's save to ignore, how to suppress the warning.
That's the conda environment I'm using if of any importance:
altgraph 0.16.1 pypi_0 pypi
blas 1.0 mkl
ca-certificates 2019.5.15 1
certifi 2019.6.16 py37_1
dc-imgproc 1.1.1 pypi_0 pypi
future 0.17.1 pypi_0 pypi
hdf5 1.8.20 hac2f561_1
icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha66f8fd_1
intel-openmp 2019.5 281
jpeg 9b hb83a4c4_2
libopencv 3.4.2 h20b85fd_0
libpng 1.6.37 h2a8f88b_0
libtiff 4.0.10 hb898794_2
macholib 1.11 pypi_0 pypi
mkl 2019.5 281
mkl-service 2.3.0 py37hb782905_0
mkl_fft 1.0.14 py37h14836fe_0
mkl_random 1.0.2 py37h343c172_0
numpy 1.16.5 py37h19fb1c0_0
numpy-base 1.16.5 py37hc3f5095_0
opencv 3.4.2 py37h40b0b35_0
openssl 1.1.1d he774522_0
pefile 2019.4.18 pypi_0 pypi
pip 19.2.2 py37_0
py-opencv 3.4.2 py37hc319ecb_0
pyinstaller 3.5.dev0+gb54a15d7 pypi_0 pypi
pyqt 5.9.2 py37h6538335_2
pyqtgraph 0.10.0 py37h28b3542_3
python 3.7.4 h5263a28_0
pywin32-ctypes 0.2.0 pypi_0 pypi
qt 5.9.7 vc14h73c81de_0
qtpy 1.9.0 py_0
scipy 1.3.1 py37h29ff71c_0
setuptools 41.0.1 py37_0
sip 4.19.8 py37h6538335_0
six 1.12.0 py37_0
sqlite 3.29.0 he774522_0
tifffile 0.15.1 py37h452e1ab_1001 conda-forge
vc 14.1 h0510ff6_4
vs2015_runtime 14.16.27012 hf0eaf9b_0
wheel 0.33.4 py37_0
wincertstore 0.2 py37_0
xz 5.2.4 h2fa13f4_4
zlib 1.2.11 h62dcd97_3
zstd 1.3.7 h508b16e_0
Update I can reproduce the behaviour, if I put only import tifffile into an empty python file and run pyinstaller on it.
I can not import pytorch on my gpu conda env:
C:\Users\Jeffy\Desktop
$ python
Python 3.7.2 (default, Feb 11 2019, 14:11:50) [MSC v.1915 64 bit (AMD64)] :: Anaconda, Inc. on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import torch
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\ProgramData\Anaconda3\envs\gpu\lib\site-packages\torch\__init__.py", line 84, in <module>
from torch._C import *
ImportError: DLL load failed: The specified module could not be found.
I have two conda env, one is gpu with external gpu GTX1050, one is base.
On my base env, I have installed pytorch-cpu version and it works well.
However, I cannot install pytorch gpu version on my gpu env.
on my gpu env, I have the following packages installed (including cudnn, intel-openmp, cmake and so on):
$ conda list
packages in environment at C:\ProgramData\Anaconda3\envs\gpu:
Name Version Build Channel
absl-py 0.7.0 pypi_0 pypi
astor 0.7.1 pypi_0 pypi
blas 1.0 mkl
ca-certificates 2019.1.23 0
certifi 2018.11.29 py37_0
cffi 1.11.5 py37h74b6da3_1
cmake 3.12.2 he025d50_0
cudatoolkit 10.0.130 0
cudnn 7.3.1 cuda10.0_0
freetype 2.9.1 ha9979f8_1
gast 0.2.2 pypi_0 pypi
grpcio 1.18.0 pypi_0 pypi
h5py 2.9.0 pypi_0 pypi
icc_rt 2019.0.0 h0cc432a_1
intel-openmp 2019.0 pypi_0 pypi
jpeg 9b hb83a4c4_2
keras-applications 1.0.7 pypi_0 pypi
keras-preprocessing 1.0.9 pypi_0 pypi
libpng 1.6.36 h2a8f88b_0
libtiff 4.0.10 hb898794_2
markdown 3.0.1 pypi_0 pypi
mkl 2019.1 144
mkl-include 2019.1 144
mkl_fft 1.0.10 py37h14836fe_0
mkl_random 1.0.2 py37h343c172_0
mock 2.0.0 pypi_0 pypi
ninja 1.8.2.post2 pypi_0 pypi
numpy 1.15.4 py37h19fb1c0_0
numpy-base 1.15.4 py37hc3f5095_0
olefile 0.46 py37_0
openssl 1.1.1a he774522_0
pbr 5.1.2 pypi_0 pypi
pillow 5.4.1 py37hdc69c19_0
pip 19.0.1 py37_0
protobuf 3.6.1 pypi_0 pypi
pycparser 2.19 py37_0
python 3.7.2 h8c8aaf0_2
pytorch 1.0.1 py3.7_cuda100_cudnn7_1 pytorch
pyyaml 3.13 py37hfa6e2cd_0
setuptools 40.7.3 py37_0
six 1.12.0 py37_0
sqlite 3.26.0 he774522_0
tensorboard 1.12.2 pypi_0 pypi
tensorflow-estimator 1.13.0rc0 pypi_0 pypi
tensorflow-gpu 1.13.0rc1 pypi_0 pypi
termcolor 1.1.0 pypi_0 pypi
tk 8.6.8 hfa6e2cd_0
torchvision 0.2.1 py_2 pytorch
typing 3.6.4 py37_0
vc 14.1 h21ff451_1 peterjc123
vs2015_runtime 14.15.26706 h3a45250_0
vs2017_runtime 15.4.27004.2010 1 peterjc123
werkzeug 0.14.1 pypi_0 pypi
wheel 0.32.3 py37_0
wincertstore 0.2 py37_0
xz 5.2.4 h2fa13f4_4
yaml 0.1.7 hc54c509_2
zlib 1.2.11 h62dcd97_3
zstd 1.3.7 h508b16e_0
Expecting Cuda and Cudnn has been already installed and Updated the Environment variable list.
Try installing pytorch using the command
conda install pytorch -c pytorch
or
conda install pytorch torchvision cudatoolkit=10.0.130 -c pytorch
I created anaconda environment with Python=3.7 and have trouble with the error of _ssl and DLL. When I tried to get back to my base environment, I have trouble getting the background processes to complete as shown in the figure below, this goes on forever.
The error:
C:\Users\abhil\AppData\Local\Continuum\anaconda3\envs\HeisenbergPy37\python.exe "C:\Program Files\JetBrains\PyCharm Community Edition 2018.1.1\helpers\pydev\pydevconsole.py" --mode=client --port=63950
Traceback (most recent call last):
File "C:\Program Files\JetBrains\PyCharm Community Edition 2018.1.1\helpers\pydev\pydevconsole.py", line 5, in <module>
from _pydev_comm.rpc import make_rpc_client, start_rpc_server, start_rpc_server_and_make_client
File "C:\Program Files\JetBrains\PyCharm Community Edition 2018.1.1\helpers\pydev\_pydev_comm\rpc.py", line 4, in <module>
from _pydev_comm.server import TSingleThreadedServer
File "C:\Program Files\JetBrains\PyCharm Community Edition 2018.1.1\helpers\pydev\_pydev_comm\server.py", line 4, in <module>
from _shaded_thriftpy.server import TServer
File "C:\Program Files\JetBrains\PyCharm Community Edition 2018.1.1\helpers\third_party\thriftpy\_shaded_thriftpy\server.py", line 9, in <module>
from _shaded_thriftpy.transport import (
File "C:\Program Files\JetBrains\PyCharm Community Edition 2018.1.1\helpers\third_party\thriftpy\_shaded_thriftpy\transport\__init__.py", line 57, in <module>
from .sslsocket import TSSLSocket, TSSLServerSocket # noqa
File "C:\Program Files\JetBrains\PyCharm Community Edition 2018.1.1\helpers\third_party\thriftpy\_shaded_thriftpy\transport\sslsocket.py", line 7, in <module>
import ssl
File "C:\Users\abhil\AppData\Local\Continuum\anaconda3\envs\HeisenbergPy37\lib\ssl.py", line 98, in <module>
import _ssl # if we can't import it, let the error propagate
ImportError: DLL load failed: The specified module could not be found.
Process finished with exit code 1
All packages installed with
conda create -n anaconda python=3.7
C:\WINDOWS\system32>conda list
# packages in environment at C:\Users\abhil\AppData\Local\Continuum\anaconda3\envs\HeisenbergPy37:
#
# Name Version Build Channel
alabaster 0.7.12 py37_0
anaconda 2018.12 py37_0
anaconda-client 1.7.2 py37_0
anaconda-project 0.8.2 py37_0
asn1crypto 0.24.0 py37_0
astroid 2.1.0 py37_0
astropy 3.1 py37he774522_0
atomicwrites 1.2.1 py37_0
attrs 18.2.0 py37h28b3542_0
babel 2.6.0 py37_0
backcall 0.1.0 py37_0
backports 1.0 py37_1
backports.os 0.1.1 py37_0
backports.shutil_get_terminal_size 1.0.0 py37_2
beautifulsoup4 4.6.3 py37_0
bitarray 0.8.3 py37hfa6e2cd_0
bkcharts 0.2 py37_0
blas 1.0 mkl
blaze 0.11.3 py37_0
bleach 3.0.2 py37_0
blosc 1.14.4 he51fdeb_0
bokeh 1.0.2 py37_0
boto 2.49.0 py37_0
bottleneck 1.2.1 py37h452e1ab_1
bzip2 1.0.6 hfa6e2cd_5
ca-certificates 2018.03.07 0
certifi 2018.11.29 py37_0
cffi 1.11.5 py37h74b6da3_1
chardet 3.0.4 py37_1
click 7.0 py37_0
cloudpickle 0.6.1 py37_0
clyent 1.2.2 py37_1
colorama 0.4.1 py37_0
comtypes 1.1.7 py37_0
console_shortcut 0.1.1 3
contextlib2 0.5.5 py37_0
cryptography 2.4.2 py37h7a1dbc1_0
curl 7.63.0 h2a8f88b_1000
cycler 0.10.0 py37_0
cython 0.29.2 py37ha925a31_0
cytoolz 0.9.0.1 py37hfa6e2cd_1
dask 1.0.0 py37_0
dask-core 1.0.0 py37_0
datashape 0.5.4 py37_1
decorator 4.3.0 py37_0
defusedxml 0.5.0 py37_1
distributed 1.25.1 py37_0
docutils 0.14 py37_0
entrypoints 0.2.3 py37_2
et_xmlfile 1.0.1 py37_0
fastcache 1.0.2 py37hfa6e2cd_2
filelock 3.0.10 py37_0
flask 1.0.2 py37_1
flask-cors 3.0.7 py37_0
freetype 2.9.1 ha9979f8_1
get_terminal_size 1.0.0 h38e98db_0
gevent 1.3.7 py37he774522_1
glob2 0.6 py37_1
greenlet 0.4.15 py37hfa6e2cd_0
h5py 2.8.0 py37h3bdd7fb_2
hdf5 1.10.2 hac2f561_1
heapdict 1.0.0 py37_2
html5lib 1.0.1 py37_0
icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha66f8fd_1
idna 2.8 py37_0
imageio 2.4.1 py37_0
imagesize 1.1.0 py37_0
importlib_metadata 0.6 py37_0
intel-openmp 2019.1 144
ipykernel 5.1.0 py37h39e3cac_0
ipython 7.2.0 py37h39e3cac_0
ipython_genutils 0.2.0 py37_0
ipywidgets 7.4.2 py37_0
isort 4.3.4 py37_0
itsdangerous 1.1.0 py37_0
jdcal 1.4 py37_0
jedi 0.13.2 py37_0
jinja2 2.10 py37_0
jpeg 9b hb83a4c4_2
jsonschema 2.6.0 py37_0
jupyter 1.0.0 py37_7
jupyter_client 5.2.4 py37_0
jupyter_console 6.0.0 py37_0
jupyter_core 4.4.0 py37_0
jupyterlab 0.35.3 py37_0
jupyterlab_server 0.2.0 py37_0
keyring 17.0.0 py37_0
kiwisolver 1.0.1 py37h6538335_0
krb5 1.16.1 hc04afaa_7
lazy-object-proxy 1.3.1 py37hfa6e2cd_2
libarchive 3.3.3 h0643e63_5
libcurl 7.63.0 h2a8f88b_1000
libiconv 1.15 h1df5818_7
libpng 1.6.35 h2a8f88b_0
libsodium 1.0.16 h9d3ae62_0
libssh2 1.8.0 h7a1dbc1_4
libtiff 4.0.9 h36446d0_2
libxml2 2.9.8 hadb2253_1
libxslt 1.1.32 hf6f1972_0
llvmlite 0.26.0 py37ha925a31_0
locket 0.2.0 py37_1
lxml 4.2.5 py37hef2cd61_0
lz4-c 1.8.1.2 h2fa13f4_0
lzo 2.10 h6df0209_2
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 1.1.0 py37he774522_0
matplotlib 3.0.2 py37hc8f65d3_0
mccabe 0.6.1 py37_1
menuinst 1.4.14 py37hfa6e2cd_0
mistune 0.8.4 py37he774522_0
mkl 2019.1 144
mkl-service 1.1.2 py37hb782905_5
mkl_fft 1.0.6 py37h6288b17_0
mkl_random 1.0.2 py37h343c172_0
more-itertools 4.3.0 py37_0
mpmath 1.1.0 py37_0
msgpack-python 0.5.6 py37he980bc4_1
msys2-conda-epoch 20160418 1
multipledispatch 0.6.0 py37_0
nbconvert 5.4.0 py37_1
nbformat 4.4.0 py37_0
networkx 2.2 py37_1
nltk 3.4 py37_1
nose 1.3.7 py37_2
notebook 5.7.4 py37_0
numba 0.41.0 py37hf9181ef_0
numexpr 2.6.8 py37hdce8814_0
numpy 1.15.4 py37h19fb1c0_0
numpy-base 1.15.4 py37hc3f5095_0
numpydoc 0.8.0 py37_0
odo 0.5.1 py37_0
olefile 0.46 py37_0
openpyxl 2.5.12 py37_0
openssl 1.1.1a he774522_0
packaging 18.0 py37_0
pandas 0.23.4 py37h830ac7b_0
pandoc 1.19.2.1 hb2460c7_1
pandocfilters 1.4.2 py37_1
parso 0.3.1 py37_0
partd 0.3.9 py37_0
path.py 11.5.0 py37_0
pathlib2 2.3.3 py37_0
patsy 0.5.1 py37_0
pep8 1.7.1 py37_0
pickleshare 0.7.5 py37_0
pillow 5.3.0 py37hdc69c19_0
pip 18.1 py37_0
pkginfo 1.4.2 py37_1
pluggy 0.8.0 py37_0
ply 3.11 py37_0
prometheus_client 0.5.0 py37_0
prompt_toolkit 2.0.7 py37_0
psutil 5.4.8 py37he774522_0
py 1.7.0 py37_0
pycodestyle 2.4.0 py37_0
pycosat 0.6.3 py37hfa6e2cd_0
pycparser 2.19 py37_0
pycrypto 2.6.1 py37hfa6e2cd_9
pycurl 7.43.0.2 py37h7a1dbc1_0
pyflakes 2.0.0 py37_0
pygments 2.3.1 py37_0
pylint 2.2.2 py37_0
pyodbc 4.0.25 py37ha925a31_0
pyopenssl 18.0.0 py37_0
pyparsing 2.3.0 py37_0
pyqt 5.9.2 py37h6538335_2
pysocks 1.6.8 py37_0
pytables 3.4.4 py37he6f6034_0
pytest 4.0.2 py37_0
pytest-arraydiff 0.3 py37h39e3cac_0
pytest-astropy 0.5.0 py37_0
pytest-doctestplus 0.2.0 py37_0
pytest-openfiles 0.3.1 py37_0
pytest-remotedata 0.3.1 py37_0
python 3.7.1 h8c8aaf0_6
python-dateutil 2.7.5 py37_0
python-libarchive-c 2.8 py37_6
pytz 2018.7 py37_0
pywavelets 1.0.1 py37h8c2d366_0
pywin32 223 py37hfa6e2cd_1
pywinpty 0.5.5 py37_1000
pyyaml 3.13 py37hfa6e2cd_0
pyzmq 17.1.2 py37hfa6e2cd_0
qt 5.9.7 vc14h73c81de_0
qtawesome 0.5.3 py37_0
qtconsole 4.4.3 py37_0
qtpy 1.5.2 py37_0
requests 2.21.0 py37_0
rope 0.11.0 py37_0
ruamel_yaml 0.15.46 py37hfa6e2cd_0
scikit-image 0.14.1 py37ha925a31_0
scikit-learn 0.20.1 py37h343c172_0
scipy 1.1.0 py37h29ff71c_2
seaborn 0.9.0 py37_0
send2trash 1.5.0 py37_0
setuptools 40.6.3 py37_0
simplegeneric 0.8.1 py37_2
singledispatch 3.4.0.3 py37_0
sip 4.19.8 py37h6538335_0
six 1.12.0 py37_0
snappy 1.1.7 h777316e_3
snowballstemmer 1.2.1 py37_0
sortedcollections 1.0.1 py37_0
sortedcontainers 2.1.0 py37_0
sphinx 1.8.2 py37_0
sphinxcontrib 1.0 py37_1
sphinxcontrib-websupport 1.1.0 py37_1
spyder 3.3.2 py37_0
spyder-kernels 0.3.0 py37_0
sqlalchemy 1.2.15 py37he774522_0
sqlite 3.26.0 he774522_0
statsmodels 0.9.0 py37h452e1ab_0
sympy 1.3 py37_0
tblib 1.3.2 py37_0
terminado 0.8.1 py37_1
testpath 0.4.2 py37_0
tk 8.6.8 hfa6e2cd_0
toolz 0.9.0 py37_0
tornado 5.1.1 py37hfa6e2cd_0
tqdm 4.28.1 py37h28b3542_0
traitlets 4.3.2 py37_0
unicodecsv 0.14.1 py37_0
urllib3 1.24.1 py37_0
vc 14.1 h0510ff6_4
vs2015_runtime 14.15.26706 h3a45250_0
wcwidth 0.1.7 py37_0
webencodings 0.5.1 py37_1
werkzeug 0.14.1 py37_0
wheel 0.32.3 py37_0
widgetsnbextension 3.4.2 py37_0
win_inet_pton 1.0.1 py37_1
win_unicode_console 0.5 py37_0
wincertstore 0.2 py37_0
winpty 0.4.3 4
wrapt 1.10.11 py37hfa6e2cd_2
xlrd 1.2.0 py37_0
xlsxwriter 1.1.2 py37_0
xlwings 0.15.1 py37_0
xlwt 1.3.0 py37_0
xz 5.2.4 h2fa13f4_4
yaml 0.1.7 hc54c509_2
zeromq 4.2.5 he025d50_1
zict 0.1.3 py37_0
zlib 1.2.11 h62dcd97_3
zstd 1.3.7 h508b16e_0
I have answerd this here, to my understanding this error is caused by the missing/misplacement of libcrypto file in anaconda3/DLLs folder:
From anaconda3\Library\bin copy below files and paste them in anaconda3/DLLs:
- libcrypto-1_1-x64.dll
- libssl-1_1-x64.dll
This can be fixed by manually adding in the PATH variables in PyCharm to the console.
Open your Anaconda cmd
Activate your Conda environment
Get the full PATH value by typing echo %PATH%
if you are on Windows 7/can't copy the output, cd the cmd to your desktop and type echo %PATH% > path_val.txt
this will create a txt file so you can copy/paste the values easier.
In PyCharm, go to Settings -> Build, Execution, Deployment -> Console -> Python Console -> click the folder on the right of Environment variables.
Click the plus button to add a new Environment Variable
The name should be PATH
The value is the entire output from the echo %PATH% command above.
Click OK, then apply.
You can try to set system environment variables, like "C:\Python\Anaconda3;C:\Python\Anaconda3\Scripts;
C:\Python\Anaconda3\Library\bin;".
Only "C:\Python\Anaconda3\Scripts;" is not enough, and it works to me.
I had the same issue on Windows 10 Pro x64 and PyCharm CE 2018.3
A solution that worked for me: Re-install Anaconda3 for all users (with Admin priveledges) and choose "add python.exe to Path" (even though it is nor recommended). Then PyCharm connected successfully without this error.
A work around that also worked: Use another environment (pyenv or conda). It worked for me when I faced the same issue on
Some other suggestions I saw on Internet:
run Anaconda3\Scripts>conda update --all
but this threw the HTTP connection error rises, which might be related.
if running under a virtual env (i.e. your have issued the command: conda activate <env_name>)
The files (libcrypto-1_1-x64.dll and libssl-1_1-x64.dll) to copy are found under:
C:\USER<username>.conda\envs<env_name>\Library\bin
They have to be copied into:
C:\USER<username>.conda\envs<env_name>\DLLs
None of the above worked for me, but instead it was a problem with OpenSSL on Windows 10 Enterprise. I fixed it by downloading and installing OpenSSL from here: https://slproweb.com/products/Win32OpenSSL.html
Thanks for the answer!
This works definately.
I have answerd this here, to my understanding this error is caused by the missing/misplacement of libcrypto file in anaconda3/DLLs folder:
From anaconda3\Library\bin copy below files and paste them in anaconda3/DLLs:
libcrypto-1_1-x64.dll
libssl-1_1-x64.dll
In my case the error was a result of spinning pipenv from non-base conda env. Setting variable in PyCharm or moving files in base anaconda structure didn't help, because PyCharm looked for these DLLs in my conda env in the middle.
So I had to move files from base conda structure:
C:\Users<username>\AppData\Local\Continuum\anaconda3\Library\bin
To my conda env from which I spinned the final Pipenv I use in PyCharm:
C:\Users<username>\AppData\Local\Continuum\anaconda3\envs<conda_env_name>\DLLs
The files I had to move to have IPython work correctly:
libcrypto-1_1-x64.dll
libssl-1_1-x64.dll
sqlite3.dll
sqlite3.exe
The reason is that not all libraries/binaries are propagated to the virtual envs. Virtual envs are able to find these files in "root Python". Venvs stay lighter thanks to not copying them.
However, PyCharm gets confused in a setup such as mine, and treats the conda env in the middle as a "root Python", and can't find the libraries/bins. This problem can potentially make itself apparent with other dlls or bins.
It may be worth to move all missing files this way.
another solution: edit python3.7's site.py(in Lib dir):
from os.path import join, abspath, dirname
base_path = dirname(dirname(abspath(__file__)))
os.environ['PATH'] = '%s%s' % (
os.environ['PATH'],
join(base_path, 'Library', 'bin'),
)
I had the same issue and my main IDE is Sublime Text 4.
Environment: Windows 10 with Anaconda
What I needed: from cryptography.fernet import Fernet
The marked solution was unachievable for me and the following answer solved it right away:
pip install --upgrade pip
pip uninstall pyopenssl cryptography
pip install pyopenssl cryptography
Validate with:
python -v -c "from OpenSSL import SSL"
Source: https://groups.google.com/g/qatrack/c/24RB6hesOko?pli=1
Incase someone is searching for Eclipse PyDev, It's same as Rob's answer.
No. 4 can be found at Window -> Preferences -> PyDev -> Interpreters -> Python Interpreters -> Environment -> Click New and add PATH
I have updated to Python 3.8 (with miniconda) and it did not work with Pycharm generating "anaconda-environment-import-ssl-dll-load-fail-error". I have tried several proposals here and tweaked env variables in different way w/o much success.
Finally I have updated to Pycharm 2020.2.3 and it worked like a charm, no tweaks ..