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Conflicting Issues Upon Installation (Linux): UnsatisfiableError: The following specifications were found to be incompatible with each other

Open asmakhans opened this issue 2 years ago • 0 comments

Hi, I'm facing some conflict issues when trying to install the environment and was wondering if there was anything I could do to resolve the conflicts. I'm in a Linux environment, conda version 23.5.2 and Python 3.11.4. I was looking at the previous thread of a similar issue "The Problem on Installation #21" but am still not quite sure on how to resolve the conflicts. Please let me know if there is something I could do to resolve the issue. Thank you!

I get the following error:

UnsatisfiableError: The following specifications were found to be incompatible with each other:

Output in format: Requested package -> Available versions

Package jinja2 conflicts for: nbconvert==5.4.0=py36_1 -> jinja2 widgetsnbextension==3.4.2=py36_0 -> notebook[version='>=4.4.1'] -> jinja2 jinja2==2.10=py36_0 conda-build==3.17.3=py36_0 -> jinja2!=3.0.0 spyder==3.3.2=py36_0 -> nbconvert -> jinja2[version='>=2.10|>=2.4|>=3.0|>=2.3'] jupyterlab_server==0.2.0=py36_0 -> notebook -> jinja2 notebook==5.7.2=py36_0 -> nbconvert -> jinja2[version='>=2.4|>=3.0'] sphinx==1.8.2=py36_0 -> jinja2[version='>=2.3'] flask-cors==3.0.7=py36_0 -> flask[version='>=0.9'] -> jinja2[version='>=2.10,<3.0|>=2.10.1,<3.0|>=3.0|>=2.4'] jupyter==1.0.0=py36_7 -> nbconvert -> jinja2[version='>=2.4|>=3.0'] jupyterlab==0.35.3=py36_0 -> notebook[version='>=4.3.1'] -> jinja2 flask==1.0.2=py36_1 -> jinja2[version='>=2.10,<3.0'] _ipyw_jlab_nb_ext_conf==0.1.0=py36_0 -> jupyterlab -> jinja2[version='>=2.1|>=2.10'] notebook==5.7.2=py36_0 -> jinja2 numpydoc==0.8.0=py36_0 -> sphinx -> jinja2[version='>=2.3'] jupyterlab_launcher==0.13.1=py36_0 -> notebook -> jinja2

Package libgcc-ng conflicts for: alabaster==0.7.12=py36_0 -> python[version='>=3.6,<3.7.0a0'] -> libgcc-ng[version='>=7.2.0|>=7.3.0|>=7.5.0'] fastcache==1.0.2=py36h14c3975_2 -> libgcc-ng[version='>=7.2.0'] mkl_random==1.0.1=py36h4414c95_1 -> numpy[version='>=1.11.3,<2.0a0'] -> libgcc-ng[version='>=11.2.0|>=7.5.0|>=7.3.0'] [...]

Originally posted by @asmakhans in https://github.com/charlesCXK/TorchSemiSeg/issues/21#issuecomment-1728144587

asmakhans avatar Sep 25 '23 05:09 asmakhans