UnsatisfiableError while creating python environment

Question

I am following a python tutorial. When I am trying to create a python env I got this error.

UnsatisfiableError: The following specifications were found to be in conflict: - mkl==2019.0=118 - scipy==1.1.0=py36h4f6bf74_1 -> numpy[version='>=1.15.1,<2.0a0'] -> mkl[version='>=2019.1,<2020.0a0'] Use "conda search --info" to see the dependencies for each package.

This is my yml file

name: python-cvcourse
channels:
  - michael_wild
  - defaults
dependencies:
  - absl-py=0.4.1=py36_0
  - appdirs=1.4.3=py36h28b3542_0
  - asn1crypto=0.24.0=py36_0
  - astor=0.7.1=py36_0
  - attrs=18.2.0=py36h28b3542_0
  - automat=0.7.0=py36_0
  - backcall=0.1.0=py36_0
  - blas=1.0=mkl
  - bleach=2.1.4=py36_0
  - ca-certificates=2018.03.07=0
  - certifi=2018.10.15=py36_0
  - cffi=1.11.5=py36h74b6da3_1
  - colorama=0.3.9=py36h029ae33_0
  - constantly=15.1.0=py36h28b3542_0
  - cryptography=2.3.1=py36h74b6da3_0
  - cudatoolkit=9.0=1
  - cudnn=7.1.4=cuda9.0_0
  - cycler=0.10.0=py36h009560c_0
  - decorator=4.3.0=py36_0
  - entrypoints=0.2.3=py36_2
  - freetype=2.9.1=ha9979f8_1
  - gast=0.2.0=py36_0
  - grpcio=1.12.1=py36h1a1b453_0
  - h5py=2.8.0=py36hf7173ca_2
  - hdf5=1.8.20=hac2f561_1
  - html5lib=1.0.1=py36_0
  - hyperlink=18.0.0=py36_0
  - icc_rt=2017.0.4=h97af966_0
  - icu=58.2=ha66f8fd_1
  - idna=2.7=py36_0
  - incremental=17.5.0=py36_0
  - intel-openmp=2019.0=118
  - ipykernel=4.9.0=py36_0
  - ipython=6.5.0=py36_0
  - ipython_genutils=0.2.0=py36h3c5d0ee_0
  - ipywidgets=7.4.1=py36_0
  - jedi=0.12.1=py36_0
  - jinja2=2.10=py36_0
  - jpeg=9b=hb83a4c4_2
  - jsonschema=2.6.0=py36h7636477_0
  - jupyter=1.0.0=py36_6
  - jupyter_client=5.2.3=py36_0
  - jupyter_console=5.2.0=py36_1
  - jupyter_core=4.4.0=py36_0
  - jupyterlab=0.34.9=py36_0
  - jupyterlab_launcher=0.13.1=py36_0
  - keras=2.2.2=0
  - keras-applications=1.0.4=py36_1
  - keras-base=2.2.2=py36_0
  - keras-preprocessing=1.0.2=py36_1
  - kiwisolver=1.0.1=py36h6538335_0
  - libopencv=3.4.2=h20b85fd_0
  - libpng=1.6.34=h79bbb47_0
  - libprotobuf=3.6.0=h1a1b453_0
  - libsodium=1.0.16=h9d3ae62_0
  - libtiff=4.0.9=h36446d0_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
  - markdown=2.6.11=py36_0
  - markupsafe=1.0=py36hfa6e2cd_1
  - matplotlib=2.2.3=py36hd159220_0
  - mistune=0.8.3=py36hfa6e2cd_1
  - mkl=2019.0=118
  - mkl_fft=1.0.4=py36h1e22a9b_1
  - mkl_random=1.0.1=py36h77b88f5_1
  - msys2-conda-epoch=20160418=1
  - nbconvert=5.3.1=py36_0
  - nbformat=4.4.0=py36h3a5bc1b_0
  - notebook=5.6.0=py36_0
  - numpy=1.15.1=py36ha559c80_0
  - numpy-base=1.15.1=py36h8128ebf_0
  - olefile=0.46=py36_0
  - opencv=3.4.2=py36h40b0b35_0
  - openssl=1.0.2p=hfa6e2cd_0
  - pandoc=2.2.3.2=0
  - pandocfilters=1.4.2=py36_1
  - parso=0.3.1=py36_0
  - pickleshare=0.7.4=py36h9de030f_0
  - pillow=5.2.0=py36h08bbbbd_0
  - pip=10.0.1=py36_0
  - prometheus_client=0.3.1=py36h28b3542_0
  - prompt_toolkit=1.0.15=py36h60b8f86_0
  - protobuf=3.6.0=py36he025d50_0
  - py-opencv=3.4.2=py36hc319ecb_0
  - pyasn1=0.4.4=py36h28b3542_0
  - pyasn1-modules=0.2.2=py36_0
  - pycparser=2.18=py36_1
  - pygments=2.2.0=py36hb010967_0
  - pyopenssl=18.0.0=py36_0
  - pyparsing=2.2.0=py36_1
  - pyqt=5.9.2=py36ha878b3d_0
  - python=3.6.6=hea74fb7_0
  - python-dateutil=2.7.3=py36_0
  - pytz=2018.5=py36_0
  - pywin32=223=py36hfa6e2cd_1
  - pywinpty=0.5.4=py36_0
  - pyyaml=3.13=py36hfa6e2cd_0
  - pyzmq=17.1.2=py36hfa6e2cd_0
  - qt=5.9.6=vc14h62aca36_0
  - qtconsole=4.4.1=py36_0
  - scikit-learn=0.19.1=py36hae9bb9f_0
  - scipy=1.1.0=py36h4f6bf74_1
  - send2trash=1.5.0=py36_0
  - service_identity=17.0.0=py36h28b3542_0
  - setuptools=40.2.0=py36_0
  - simplegeneric=0.8.1=py36_2
  - sip=4.19.12=py36h6538335_0
  - six=1.11.0=py36_1
  - sqlite=3.24.0=h7602738_0
  - tensorflow=1.10.0
  - termcolor=1.1.0=py36_1
  - terminado=0.8.1=py36_1
  - testpath=0.3.1=py36h2698cfe_0
  - tk=8.6.8=hfa6e2cd_0
  - tornado=5.1=py36hfa6e2cd_0
  - traitlets=4.3.2=py36h096827d_0
  - twisted=18.7.0=py36hfa6e2cd_1
  - vc=14=h0510ff6_3
  - vs2015_runtime=14.0.25123=3
  - wcwidth=0.1.7=py36h3d5aa90_0
  - webencodings=0.5.1=py36_1
  - werkzeug=0.14.1=py36_0
  - wheel=0.31.1=py36_0
  - widgetsnbextension=3.4.1=py36_0
  - wincertstore=0.2=py36h7fe50ca_0
  - winpty=0.4.3=4
  - yaml=0.1.7=hc54c509_2
  - zeromq=4.2.5=he025d50_1
  - zlib=1.2.11=h8395fce_2
  - zope=1.0=py36_1
  - zope.interface=4.5.0=py36hfa6e2cd_0
  - opencv-contrib=3.3.1=py36_1
prefix: C:\Users\Marcial\Anaconda3\envs\cvcourse_windows

this is my command

conda env create -f cvcourse_windows.yml -n cv_python

I tried to remove those packages but some other package conflict is showing up and I've also reinstalled conda

atef rebai · Accepted Answer · 2019-04-14T11:23:09.527

use this

name: python-cvcourse
channels:
  - michael_wild
  - defaults
dependencies:
  - absl-py=0.4.1=py36_0
  - appdirs=1.4.3=py36h28b3542_0
  - asn1crypto=0.24.0=py36_0
  - astor=0.7.1=py36_0
  - attrs=18.2.0=py36h28b3542_0
  - automat=0.7.0=py36_0
  - backcall=0.1.0=py36_0
  - blas=1.0=mkl
  - bleach=2.1.4=py36_0
  - ca-certificates=2018.03.07=0
  - certifi=2018.10.15=py36_0
  - cffi=1.11.5=py36h74b6da3_1
  - colorama=0.3.9=py36h029ae33_0
  - constantly=15.1.0=py36h28b3542_0
  - cryptography=2.3.1=py36h74b6da3_0
  - cudatoolkit=9.0=1
  - cudnn=7.1.4=cuda9.0_0
  - cycler=0.10.0=py36h009560c_0
  - decorator=4.3.0=py36_0
  - entrypoints=0.2.3=py36_2
  - freetype=2.9.1=ha9979f8_1
  - gast=0.2.0=py36_0
  - grpcio=1.12.1=py36h1a1b453_0
  - h5py=2.8.0=py36hf7173ca_2
  - hdf5=1.8.20=hac2f561_1
  - html5lib=1.0.1=py36_0
  - hyperlink=18.0.0=py36_0
  - icc_rt=2017.0.4=h97af966_0
  - icu=58.2=ha66f8fd_1
  - idna=2.7=py36_0
  - incremental=17.5.0=py36_0
  - intel-openmp=2019.0=118
  - ipykernel=4.9.0=py36_0
  - ipython=6.5.0=py36_0
  - ipython_genutils=0.2.0=py36h3c5d0ee_0
  - ipywidgets=7.4.1=py36_0
  - jedi=0.12.1=py36_0
  - jinja2=2.10=py36_0
  - jpeg=9b=hb83a4c4_2
  - jsonschema=2.6.0=py36h7636477_0
  - jupyter=1.0.0=py36_6
  - jupyter_client=5.2.3=py36_0
  - jupyter_console=5.2.0=py36_1
  - jupyter_core=4.4.0=py36_0
  - jupyterlab=0.34.9=py36_0
  - jupyterlab_launcher=0.13.1=py36_0
  - keras=2.2.2=0
  - keras-applications=1.0.4=py36_1
  - keras-base=2.2.2=py36_0
  - keras-preprocessing=1.0.2=py36_1
  - kiwisolver=1.0.1=py36h6538335_0
  - libopencv=3.4.2=h20b85fd_0
  - libpng=1.6.34=h79bbb47_0
  - libprotobuf=3.6.0=h1a1b453_0
  - libsodium=1.0.16=h9d3ae62_0
  - libtiff=4.0.9=h36446d0_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
  - markdown=2.6.11=py36_0
  - markupsafe=1.0=py36hfa6e2cd_1
  - matplotlib=2.2.3=py36hd159220_0
  - mistune=0.8.3=py36hfa6e2cd_1
  - mkl=2018.0.3=1
  - mkl_fft=1.0.4=py36h1e22a9b_1
  - mkl_random=1.0.1=py36h77b88f5_1
  - msys2-conda-epoch=20160418=1
  - nbconvert=5.3.1=py36_0
  - nbformat=4.4.0=py36h3a5bc1b_0
  - notebook=5.6.0=py36_0
  - numpy=1.15.4=py36ha559c80_0
  - numpy-base=1.15.4=py36h8128ebf_0
  - olefile=0.46=py36_0
  - opencv=3.4.2=py36h40b0b35_0
  - openssl=1.0.2p=hfa6e2cd_0
  - pandoc=2.2.3.2=0
  - pandocfilters=1.4.2=py36_1
  - parso=0.3.1=py36_0
  - pickleshare=0.7.4=py36h9de030f_0
  - pillow=5.2.0=py36h08bbbbd_0
  - pip=10.0.1=py36_0
  - prometheus_client=0.3.1=py36h28b3542_0
  - prompt_toolkit=1.0.15=py36h60b8f86_0
  - protobuf=3.6.0=py36he025d50_0
  - py-opencv=3.4.2=py36hc319ecb_0
  - pyasn1=0.4.4=py36h28b3542_0
  - pyasn1-modules=0.2.2=py36_0
  - pycparser=2.18=py36_1
  - pygments=2.2.0=py36hb010967_0
  - pyopenssl=18.0.0=py36_0
  - pyparsing=2.2.0=py36_1
  - pyqt=5.9.2=py36ha878b3d_0
  - python=3.6.6=hea74fb7_0
  - python-dateutil=2.7.3=py36_0
  - pytz=2018.5=py36_0
  - pywin32=223=py36hfa6e2cd_1
  - pywinpty=0.5.4=py36_0
  - pyyaml=3.13=py36hfa6e2cd_0
  - pyzmq=17.1.2=py36hfa6e2cd_0
  - qt=5.9.6=vc14h62aca36_0
  - qtconsole=4.4.1=py36_0
  - scikit-learn=0.19.1=py36hae9bb9f_0
  - scipy=1.1.0=py36h4f6bf74_1
  - send2trash=1.5.0=py36_0
  - service_identity=17.0.0=py36h28b3542_0
  - setuptools=40.2.0=py36_0
  - simplegeneric=0.8.1=py36_2
  - sip=4.19.8=py36h6538335_0
  - six=1.11.0=py36_1
  - sqlite=3.24.0=h7602738_0
  - tensorflow=1.10.0
  - termcolor=1.1.0=py36_1
  - terminado=0.8.1=py36_1
  - testpath=0.3.1=py36h2698cfe_0
  - tk=8.6.8=hfa6e2cd_0
  - tornado=5.1=py36hfa6e2cd_0
  - traitlets=4.3.2=py36h096827d_0
  - twisted=18.7.0=py36hfa6e2cd_1
  - vc=14=h0510ff6_3
  - vs2015_runtime=14.0.25123=3
  - wcwidth=0.1.7=py36h3d5aa90_0
  - webencodings=0.5.1=py36_1
  - werkzeug=0.14.1=py36_0
  - wheel=0.31.1=py36_0
  - widgetsnbextension=3.4.1=py36_0
  - wincertstore=0.2=py36h7fe50ca_0
  - winpty=0.4.3=4
  - yaml=0.1.7=hc54c509_2
  - zeromq=4.2.5=he025d50_1
  - zlib=1.2.11=h8395fce_2
  - zope=1.0=py36_1
  - zope.interface=4.5.0=py36hfa6e2cd_0
  - opencv-contrib=3.3.1=py36_1
prefix: C:\Users\Marcial\Anaconda3\envs\cvcourse_windows

for the OP's error

UnsatisfiableError: The following specifications were found to be in conflict: - mkl==2019.0=118 - scipy==1.1.0=py36h4f6bf74_1 -> numpy[version='>=1.15.1,<2.0a0'] -> mkl[version='>=2019.1,<2020.0a0'] Use "conda search --info" to see the dependencies for each package.

it says that you have mkl version 2019.0 build 118 but you have a scipy-1.1.0-py36h4f6bf74_1 that requires a numpy >=1.15.1 that requires mkl >=2019.1

the solution is to upgrade your mkl to a recent or equal version to 2019.1 and older than 2020.0a0

you can use the conda seach mkl=2019 to see all the versions for 2019

you will get other errors keep reading for the solution

for me, I could not generate the same problem. every time I try building the env I get a problem related to numpy, though all its dependencies are valid but kept showing errors so I changed it to

  - numpy=1.15.4=py36ha559c80_0
  - numpy-base=1.15.4=py36h8128ebf_0

also i got an other error

UnsatisfiableError: The following specifications were found to be in conflict: - qtconsole==4.4.1=py36_0 -> pyqt[version='>=5.9.2,<5.10.0a0'] -> sip[version= '>=4.19.4,<=4.19.8'] - sip==4.19.12=py36h6538335_0

pretty much the same thing qtconsole-4.4.1-py36_0 requires a nested sip <4.19.8 and you have a sip 4.19.12

same solution, downgrade you sip to sip=4.19.8=py36h6538335_0

you will get a lot of errors keep fixing them with the same way

in the end, you will get an error with keras-base and mkl just downgrade your mkl to mkl=2018.0.3=1

the file is just full of miss matched dependencies, you said its a python tutorial but it looks like a troubleshooting test ?

You might want to explain what you've changed. The list is rather long and changes are hard to notice at glance. It would also probably be helpful for the asker (and future readers) to know how you arrived to the solution. — Michail, Apr 13 '19 at 22:49

score 0 · Answer 2 · answered Aug 27 '20 at 12:20

0

For someone who is unable to create environment in the same tutorial, I was getting package missing in current win-64 channel for all the packages

I was able to install packages after updating Anaconda using command: conda update conda

answered Aug 27 '20 at 12:20

Anum Shaikh

11
1

UnsatisfiableError while creating python environment

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