An SE(3)-invariant autoencoder for generating the periodic structure of materials

This is what outputs in Anaconda Prompt:

`(base) C:\Users\colto\Desktop>conda env create -f env.cpu.yml

Collecting package metadata (repodata.json): done

Solving environment: /

Found conflicts! Looking for incompatible packages.

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

Output in format: Requested package -> Available versions

Package requests conflicts for: pyg=2.0.1 -> requests python=3.8 -> pip -> requests matminer=0.7.3 -> citrination-client[version='>=4.0.1'] -> requests[version='>=2.18.4'] jupyterlab -> jupyterlab_server[version='>=2.10,<3'] -> requests matminer=0.7.3 -> requests[version='>=2.20.0'] pytorch-lightning=1.3.8 -> tensorboard[version='>=2.2.0,!=2.5.0'] -> requests[version='>=2.21.0|>=2.21.0,<3'] pymatgen=2020.12.31 -> requests pip -> requests

Package zlib conflicts for: matplotlib -> zlib[version='>=1.2.11,<1.3.0a0'] jupyterlab -> python[version='>=3.7'] -> zlib[version='>=1.2.11,<1.3.0a0'] matminer=0.7.3 -> python[version='>=3.5'] -> zlib[version='>=1.2.11,<1.3.0a0'] pymatgen=2020.12.31 -> matplotlib-base[version='>=1.5'] -> zlib[version='1.2.|1.2.11.|>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0'] python=3.8 -> pypy3.8=7.3.9 -> zlib[version='>=1.2.11,<1.3.0a0'] pytorch-lightning=1.3.8 -> python[version='>=3.6'] -> zlib[version='>=1.2.11,<1.3.0a0'] pylint -> python[version='>=3.7.2'] -> zlib[version='>=1.2.11,<1.3.0a0'] seaborn -> matplotlib-base[version='>=2.1.2'] -> zlib[version='>=1.2.11,<1.3.0a0'] pip -> python[version='>=3.7'] -> zlib[version='>=1.2.11,<1.3.0a0'] matplotlib -> freetype=2.6 -> zlib[version='1.2.*|1.2.11|1.2.8'] autopep8 -> python[version='>=3.6'] -> zlib[version='>=1.2.11,<1.3.0a0'] ase=3.22 -> matplotlib-base -> zlib[version='>=1.2.11,<1.3.0a0'] ipywidgets -> python[version='>=3.3'] -> zlib[version='>=1.2.11,<1.3.0a0'] tqdm -> python[version='>=2.7'] -> zlib[version='>=1.2.11,<1.3.0a0'] nglview -> python[version='>=3.6'] -> zlib[version='>=1.2.11,<1.3.0a0']

Package pypy3.7 conflicts for: tqdm -> python[version='>=2.7'] -> pypy3.7[version='7.3.5.|7.3.7.'] seaborn -> statsmodels[version='>=0.8.0'] -> pypy3.7[version='7.3.5.|7.3.7.|>=7.3.5|>=7.3.7'] matplotlib -> python[version='>=3.7,<3.8.0a0'] -> pypy3.7[version='7.3.|7.3.5.|7.3.7.*'] pytorch-lightning=1.3.8 -> future -> pypy3.7[version='7.3.5.|7.3.7.|>=7.3.5|>=7.3.7'] matminer=0.7.3 -> future[version='>=0.16.0'] -> pypy3.7[version='7.3.5.|7.3.7.|>=7.3.5|>=7.3.7'] pyg=2.0.1 -> numpy -> pypy3.7[version='7.3.5.|7.3.7.|>=7.3.5|>=7.3.7'] jupyterlab -> ipython -> pypy3.7[version='7.3.5.|7.3.7.|>=7.3.5|>=7.3.7'] ase=3.22 -> matplotlib-base -> pypy3.7[version='7.3.5.|7.3.7.|>=7.3.5|>=7.3.7'] nglview -> numpy -> pypy3.7[version='7.3.5.|7.3.7.|>=7.3.5|>=7.3.7'] pymatgen=2020.12.31 -> apscheduler[version='>=2.1.0'] -> pypy3.7[version='7.3.5.|7.3.7.|>=7.3.5|>=7.3.7'] autopep8 -> python[version='>=3.6'] -> pypy3.7[version='7.3.5.|7.3.7.'] pytorch=1.8.1 -> numpy[version='>=1.19'] -> pypy3.7[version='7.3.5.|7.3.7.|>=7.3.5|>=7.3.7'] matplotlib -> pypy3.7[version='>=7.3.5|>=7.3.7'] pylint -> python[version='>=3.7.2'] -> pypy3.7[version='7.3.5.|7.3.7.'] ipywidgets -> ipython[version='>=4.0.0'] -> pypy3.7[version='7.3.5.|7.3.7.|>=7.3.5|>=7.3.7'] pip -> python[version='>=3.7'] -> pypy3.7[version='7.3.5.|7.3.7.|>=7.3.7|>=7.3.5']

Package setuptools conflicts for: pymatgen=2020.12.31 -> apscheduler[version='>=2.1.0'] -> setuptools[version='<60.0.0'] autopep8 -> pycodestyle[version='>=2.3'] -> setuptools python=3.8 -> pip -> setuptools jupyterlab -> ipython -> setuptools[version='>=18.5|>=46.4.0|>=60.2.0'] pylint -> astroid[version='>=2.11.6,<2.12.0'] -> setuptools[version='>=20.0'] ase=3.22 -> matplotlib-base -> setuptools seaborn -> matplotlib-base[version='>=2.1.2'] -> setuptools[version='<60.0.0'] pytorch-lightning=1.3.8 -> tensorboard[version='>=2.2.0,!=2.5.0'] -> setuptools[version='>=41.0.0|>=41.4'] matplotlib -> setuptools matminer=0.7.3 -> citrination-client[version='>=4.0.1'] -> setuptools[version='<60.0.0'] nglview -> ipykernel -> setuptools[version='>=60'] ipywidgets -> ipykernel[version='>=4.5.1'] -> setuptools[version='>=18.5|>=60'] pip -> setuptools pyg=2.0.1 -> jinja2 -> setuptools[version='<60.0.0']

Package vs2010_runtime conflicts for: ipywidgets -> python[version='>=3.3'] -> vs2010_runtime tqdm -> python[version='>=2.7'] -> vs2010_runtime pylint -> python=3.4 -> vs2010_runtime seaborn -> python -> vs2010_runtime jupyterlab -> python=3.4 -> vs2010_runtime autopep8 -> python -> vs2010_runtime matplotlib -> python=3.4 -> vs2010_runtime nglview -> python[version='>=3'] -> vs2010_runtime pip -> python[version='>=3'] -> vs2010_runtime

Package python conflicts for: ipywidgets -> python[version='2.7.|3.5.|3.6.|>=2.7,<2.8.0a0|>=3.3|>=3.6,<3.7.0a0|>=3.5,<3.6.0a0|3.4.|>=3.7,<3.8.0a0'] ase=3.22 -> flask -> python[version='2.7.|3.5.|3.6.|>=2.7,<2.8.0a0|>=3.6,<3.7.0a0|>=3.6|>=3.7|>=3.5,<3.6.0a0|3.4.|>=3.7,<3.8.0a0|>=3.10,<3.11.0a0|>=3.9,<3.10.0a0|>=3.8,<3.9.0a0'] jupyterlab -> ipython -> python[version='>=2.7|>=3.10,<3.11.0a0|>=3.9,<3.10.0a0|>=3.8,<3.9.0a0|>=3'] nglview -> python[version='2.7.|3.5.|3.6.*|>=3|>=3.6'] ipywidgets -> ipykernel[version='>=4.5.1'] -> python[version='>=3.10,<3.11.0a0|>=3.7|>=3.9,<3.10.0a0|>=3.8,<3.9.0a0|>=3.6|>=3.5'] matminer=0.7.3 -> python[version='>=3.5'] pip -> python[version='2.7.|3.5.|3.6.|>=2.7,<2.8.0a0|>=3.7,<3.8.0a0|>=3.8,<3.9.0a0|>=3|>=3.6|>=3.7|>=3.6,<3.7.0a0|>=3.5,<3.6.0a0|3.4.|>=3.9,<3.10.0a0|>=3.10,<3.11.0a0'] ase=3.22 -> python[version='>=3.5'] pip -> wheel -> python[version='!=3.0,!=3.1,!=3.2,!=3.3,!=3.4|2.7.*|>=3.6|2.7|>=3.6|>=2.7|>=3.6,<4.0'] tqdm -> colorama -> python[version='>=3.6'] seaborn -> python[version='2.7.|3.5.|3.6.|>=3.6|3.4.|>=3.7,<3.8.0a0|>=2.7,<2.8.0a0|>=3.5,<3.6.0a0|>=3.6,<3.7.0a0'] pytorch-lightning=1.3.8 -> fsspec[version='>=2021.4.0'] -> python[version='2.7.|3.4.|3.5.|3.6.|>=2.7,<2.8.0a0|>=3.10,<3.11.0a0|>=3.8,<3.9.0a0|>=3.9,<3.10.0a0|>=3.7,<3.8.0a0|>=3.7|>=3.6,<3.7.0a0|>=3.5,<3.6.0a0|>=2.7|>=3.2|>=3.2,<3.10|>=3.5'] pytorch=1.8.1 -> python[version='>=3.6,<3.7.0a0|>=3.9,<3.10.0a0|>=3.8,<3.9.0a0|>=3.7,<3.8.0a0'] matminer=0.7.3 -> aflow[version='>=0.0.9'] -> python[version='2.7.|3.5.|3.6.|>=3.9,<3.10.0a0|>=3.10,<3.11.0a0|>=3.8,<3.9.0a0|>=3.7,<3.8.0a0|>=3.6,<3.7.0a0|>=2.7,<2.8.0a0|>=3.5,<3.6.0a0|3.4.|>=3|>=3.7|>=3.6|>=3.7.1,<3.8.0a0|>=3.8|>=3.6,<4.0|>=2.7'] seaborn -> statsmodels[version='>=0.8.0'] -> python[version='>=3.10,<3.11.0a0|>=3.8,<3.9.0a0|>=3.9,<3.10.0a0|>=3.7.1,<3.8.0a0'] jupyterlab -> python[version='2.7.|3.5.|3.6.|>=2.7,<2.8.0a0|>=3.5,<3.6.0a0|>=3.5|>=3.6|>=3.7|>=3.7,<3.8.0a0|>=3.6,<3.7.0a0|3.4.'] pylint -> colorama -> python[version='3.7.|>=2.7|>=3.5|>=3.6|>=3.6,<4.0|>=3.6.1,<4.0|>=3.7|3.8.|3.9.*'] autopep8 -> pycodestyle[version='>=2.8'] -> python[version='2.7.*|>=3.5|>=2.7|>=3.8,<3.9.0a0|>=3.10,<3.11.0a0|>=3.9,<3.10.0a0'] pylint -> python[version='2.7.|3.5.|3.6.|>=2.7,<2.8.0a0|>=3.5,<3.6.0a0|>=3.6,<3.7.0a0|>=3.6,<4|>=3.6.2,<4|>=3.6.2|>=3.7.2|>=3.7,<3.8.0a0|>=3.8,<3.9.0a0|>=3.9,<3.10.0a0|3.4.|>=3.10,<3.11.0a0'] tqdm -> python[version='2.7.|3.5.|3.6.|>=2.7|>=2.7,<2.8.0a0|>=3.8,<3.9.0a0|>=3.7,<3.8.0a0|>=3.6,<3.7.0a0|3.4.|>=3.9,<3.10.0a0|>=3.10,<3.11.0a0|>=3.5,<3.6.0a0'] matplotlib -> python[version='3.4.|3.5.|>=2.7,<2.8.0a0|>=3.10,<3.11.0a0|>=3.7,<3.8.0a0|>=3.9,<3.10.0a0|>=3.8,<3.9.0a0|>=3.6,<3.7.0a0|>=3.5,<3.6.0a0'] pymatgen=2020.12.31 -> apscheduler[version='>=2.1.0'] -> python[version='2.7.|3.5.|3.6.|>=2.7,<2.8.0a0|>=3.10,<3.11.0a0|>=3.5,<3.6.0a0|3.4.|>=3.5|>=3.6|>=3.8|>=3.7|>=3.7.1,<3.8.0a0|>=3|3.7.|>=3.6,<4.0|2.7.|>=3.5|>=2.7|>=3.6,<3.7|3.9.|3.8.'] nglview -> ipywidgets[version='>=7'] -> python[version='3.4.*|>=2.7,<2.8.0a0|>=3.3|>=3.6,<3.7.0a0|>=3.5,<3.6.0a0|>=3.7,<3.8.0a0|>=3.9,<3.10.0a0|>=3.8,<3.9.0a0|>=3.10,<3.11.0a0|>=3.7'] autopep8 -> python[version='2.7.|3.5.|3.6.|>=3.6|3.4.|>=3.6,<3.7.0a0|>=3.7,<3.8.0a0|>=2.7,<2.8.0a0|>=3.5,<3.6.0a0'] python=3.8 matplotlib -> pyqt -> python[version='2.7.|3.6.|3.10.|3.7.|3.9.|3.8.|>=3.6|>=3|<3'] pytorch-lightning=1.3.8 -> python[version='>=3.6'] pytorch=1.8.1 -> ninja -> python[version='>=2.7,<2.8.0a0|>=3.10,<3.11.0a0|>=3.5,<3.6.0a0|>=3.7|>=3.6|>=3.5|>=3.6,<3.7'] pymatgen=2020.12.31 -> python[version='>=3.6,<3.7.0a0|>=3.7,<3.8.0a0|>=3.9,<3.10.0a0|>=3.8,<3.9.0a0']

Package icc_rt conflicts for: pytorch-lightning=1.3.8 -> numpy[version='>=1.17.2'] -> icc_rt[version='>=2019.0.0'] seaborn -> numpy[version='>=1.13.3'] -> icc_rt[version='>=13.1.6|>=2019.0.0|>=16.0.4'] matminer=0.7.3 -> numpy[version='>=1.18.3'] -> icc_rt[version='>=2019.0.0'] pyg=2.0.1 -> numpy -> icc_rt[version='>=13.1.6|>=2019.0.0|>=16.0.4'] ase=3.22 -> numpy -> icc_rt[version='>=13.1.6|>=2019.0.0|>=16.0.4'] matplotlib -> numpy=1.11 -> icc_rt[version='>=13.1.6|>=2019.0.0|>=16.0.4'] pymatgen=2020.12.31 -> scipy[version='>=1.4.1'] -> icc_rt[version='>=2019.0.0'] nglview -> numpy -> icc_rt[version='>=13.1.6|>=2019.0.0|>=16.0.4']

Package charset-normalizer conflicts for: pymatgen=2020.12.31 -> requests -> charset-normalizer[version='>=2,<3|>=2.0.0,<2.1|>=2.0.0,<2.0.1|>=2.0.0,<2.1.0'] pip -> requests -> charset-normalizer[version='>=2,<3|>=2.0.0,<2.1|>=2.0.0,<2.0.1|>=2.0.0,<2.1.0'] matminer=0.7.3 -> requests[version='>=2.20.0'] -> charset-normalizer[version='>=2,<3|>=2.0.0,<2.1|>=2.0.0,<2.0.1|>=2.0.0,<2.1.0'] pyg=2.0.1 -> requests -> charset-normalizer[version='>=2,<3|>=2.0.0,<2.1|>=2.0.0,<2.0.1|>=2.0.0,<2.1.0']

Package pillow conflicts for: seaborn -> matplotlib-base[version='>=2.1.2'] -> pillow[version='>=6.2.0'] matplotlib -> matplotlib-base[version='>=3.5.2,<3.5.3.0a0'] -> pillow[version='>=6.2.0'] ase=3.22 -> matplotlib-base -> pillow[version='>=6.2.0'] pymatgen=2020.12.31 -> matplotlib-base[version='>=1.5'] -> pillow[version='>=6.2.0']

Package pygments conflicts for: jupyterlab -> ipython -> pygments[version='>=2.4.0'] ipywidgets -> ipython[version='>=4.0.0'] -> pygments[version='>=2.4.0']

Package colorama conflicts for: pip -> colorama jupyterlab -> ipython -> colorama matminer=0.7.3 -> pip -> colorama pymatgen=2020.12.31 -> pip -> colorama tqdm -> colorama pytorch-lightning=1.3.8 -> tqdm[version='>=4.41.0'] -> colorama pylint -> colorama pyg=2.0.1 -> tqdm -> colorama python=3.8 -> pip -> colorama ipywidgets -> ipython[version='>=4.0.0'] -> colorama

Package tqdm conflicts for: matminer=0.7.3 -> tqdm[version='>=4.23.1'] matminer=0.7.3 -> mdf_forge[version='>=0.6.1'] -> tqdm[version='>=4.19.4'] pymatgen=2020.12.31 -> tqdm pytorch-lightning=1.3.8 -> tqdm[version='>=4.41.0'] tqdm

Package nbformat conflicts for: matminer=0.7.3 -> plotly[version='>=3.2.1'] -> nbformat[version='>=4.2'] jupyterlab -> jupyter_server[version='>=1.16,<2'] -> nbformat[version='>=5.2|>=5.2.0'] ipywidgets -> nbformat[version='>=4.2.0'] ipywidgets -> notebook -> nbformat nglview -> ipywidgets[version='>=7'] -> nbformat[version='>=4.2.0']

Package pytz conflicts for: matplotlib -> pytz seaborn -> matplotlib-base[version='>=2.1.2'] -> pytz[version='>=2017.2|>=2020.1|>=2017.3'] matminer=0.7.3 -> pandas[version='>=0.23.4'] -> pytz[version='>=2017.2|>=2020.1|>=2017.3'] pymatgen=2020.12.31 -> apscheduler[version='>=2.1.0'] -> pytz[version='>=2017.2|>=2020.1|>=2017.3'] pyg=2.0.1 -> pandas -> pytz[version='>=2017.2|>=2020.1|>=2017.3'] ase=3.22 -> matplotlib-base -> pytz

Package progress conflicts for: pip -> progress matminer=0.7.3 -> pip -> progress python=3.8 -> pip -> progress pymatgen=2020.12.31 -> pip -> progress

Package pyqt conflicts for: seaborn -> matplotlib[version='>=2.1.2'] -> pyqt[version='4.11.|5.|5.6.|5.9.|>=5.12.3,<5.13.0a0|>=5.9.2,<5.10.0a0|>=5.6.0,<5.7.0a0|>=5.6,<6.0a0'] matplotlib -> pyqt[version='4.11.|>=5.12.3,<5.13.0a0|>=5.9.2,<5.10.0a0|>=5.6.0,<5.7.0a0|5.9.|5.6.|>=5.6,<6.0a0|5.']

Package m2w64-gcc-libs conflicts for: pytorch=1.8.1 -> blas=[build=mkl] -> m2w64-gcc-libs ase=3.22 -> scipy -> m2w64-gcc-libs pymatgen=2020.12.31 -> scipy[version='>=1.4.1'] -> m2w64-gcc-libs seaborn -> scipy[version='>=1.0.1'] -> m2w64-gcc-libs

Package decorator conflicts for: pyg=2.0.1 -> networkx[version='>=2.4'] -> decorator[version='>=4.3.0|>=4.3.0,<5'] pymatgen=2020.12.31 -> networkx[version='>=2.2'] -> decorator[version='>=3.4.0|>=4.3.0|>=4.3.0,<5'] jupyterlab -> ipython -> decorator matminer=0.7.3 -> plotly[version='>=3.2.1'] -> decorator[version='>=4.0.6'] ipywidgets -> ipython[version='>=4.0.0'] -> decorator

Package networkx conflicts for: pymatgen=2020.12.31 -> networkx[version='>=2.2'] pyg=2.0.1 -> networkx[version='>=2.4'] pyg=2.0.1 -> python-louvain -> networkx matminer=0.7.3 -> pymatgen[version='>=2019.10.2'] -> networkx[version='>=2.2']

Package six conflicts for: matminer=0.7.3 -> six[version='>=1.16.0'] matplotlib -> cycler -> six[version='>=1.5'] pylint -> six pylint -> astroid==2.5.6 -> six[version='>=1.12,<2'] pip -> html5lib -> six[version='>=1.9'] matminer=0.7.3 -> aflow[version='>=0.0.9'] -> six[version='1.15.0|>=1.15.0'] seaborn -> patsy -> six pymatgen=2020.12.31 -> apscheduler[version='>=2.1.0'] -> six[version='1.15.0|>=1.4.0|>=1.15.0'] jupyterlab -> packaging -> six ipywidgets -> traitlets[version='>=4.3.1,<6.0.0'] -> six pytorch-lightning=1.3.8 -> packaging -> six[version='>=1.10.0|>=1.12']

Package packaging conflicts for: jupyterlab -> packaging pytorch-lightning=1.3.8 -> packaging pip -> packaging matminer=0.7.3 -> pint[version='>=0.8.1'] -> packaging nglview -> ipykernel -> packaging seaborn -> statsmodels[version='>=0.8.0'] -> packaging[version='>=20.0|>=21.3'] ipywidgets -> ipykernel[version='>=4.5.1'] -> packaging ase=3.22 -> matplotlib-base -> packaging[version='>=20.0'] python=3.8 -> pip -> packaging pip -> wheel -> packaging[version='>=20.2'] pymatgen=2020.12.31 -> matplotlib-base[version='>=1.5'] -> packaging[version='>=20.0'] matplotlib -> matplotlib-base[version='>=3.5.2,<3.5.3.0a0'] -> packaging[version='>=20.0']

Package freetype conflicts for: matplotlib -> freetype[version='2.6.*|>=2.9.1,<3.0a0|>=2.8,<2.9.0a0'] matplotlib -> matplotlib-base[version='>=3.5.2,<3.5.3.0a0'] -> freetype[version='>=2.10.2,<3.0a0|>=2.10.4,<3.0a0|>=2.3']

Package futures conflicts for: pylint -> isort[version='>=4.2.5,<6'] -> futures pymatgen=2020.12.31 -> apscheduler[version='>=2.1.0'] -> futures jupyterlab -> futures matplotlib -> tornado -> futures

Package toml conflicts for: autopep8 -> toml pylint -> toml[version='>=0.7.1|>=0.9.2']

Package jinja2 conflicts for: pyg=2.0.1 -> jinja2 ase=3.22 -> flask -> jinja2[version='>=2.10|>=2.10.1|>=2.10.1,<3.0|>=3.0|>=2.4'] ipywidgets -> notebook -> jinja2 matminer=0.7.3 -> aflow[version='>=0.0.9'] -> jinja2 jupyterlab -> jupyter_server[version='>=1.16,<2'] -> jinja2[version='>2.10*|>=3.0.3'] nglview -> notebook -> jinja2 jupyterlab -> jinja2[version='>=2.1|>=2.10']

Package backports_abc conflicts for: jupyterlab -> tornado[version='!=6.0.0,!=6.0.1,!=6.0.2'] -> backports_abc[version='>=0.4'] matplotlib -> tornado -> backports_abc[version='>=0.4']

Package importlib-metadata conflicts for: ipywidgets -> ipykernel[version='>=4.5.1'] -> importlib-metadata[version='<4|<5'] nglview -> ipykernel -> importlib-metadata[version='<4|<5'] ase=3.22 -> flask -> importlib-metadata[version='>=3.6.0']

Package ca-certificates conflicts for: nglview -> python -> ca-certificates autopep8 -> python -> ca-certificates jupyterlab -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates tqdm -> python[version='>=2.7'] -> ca-certificates python=3.8 -> openssl[version='>=1.1.1n,<1.1.2a'] -> ca-certificates pip -> python -> ca-certificates seaborn -> python -> ca-certificates pylint -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates ipywidgets -> python -> ca-certificates matplotlib -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates

Package intel-openmp conflicts for: pyg=2.0.1 -> pytorch=1.9 -> intel-openmp pytorch-lightning=1.3.8 -> pytorch[version='>=1.4'] -> intel-openmp pytorch=1.8.1 -> mkl[version='>=2018'] -> intel-openmp[version='2021.|2022.'] pytorch=1.8.1 -> intel-openmp pymatgen=2020.12.31 -> netcdf4 -> intel-openmp=2020.0

Package enum34 conflicts for: pylint -> astroid[version='>=1.6,<2.0'] -> enum34 ipywidgets -> traitlets[version='>=4.3.1,<6.0.0'] -> enum34

Package ase conflicts for: ase=3.22 matminer=0.7.3 -> ase[version='>=3.14.1'] pymatgen=2020.12.31 -> ase[version='>=3.3'] matminer=0.7.3 -> aflow[version='>=0.0.9'] -> ase[version='>=3.3']

Package pyyaml conflicts for: matminer=0.7.3 -> citrination-client[version='>=4.0.1'] -> pyyaml pyg=2.0.1 -> pyyaml pytorch-lightning=1.3.8 -> pyyaml[version='>=5.1,<=5.4.1'] pymatgen=2020.12.31 -> pybtex -> pyyaml[version='>=3.01']

Package tornado conflicts for: jupyterlab -> tornado[version='!=6.0.0,!=6.0.1,!=6.0.2|>=6.1|>=6.1.0'] pymatgen=2020.12.31 -> matplotlib-base[version='>=1.5'] -> tornado ase=3.22 -> matplotlib-base -> tornado seaborn -> matplotlib-base[version='>=2.1.2'] -> tornado matplotlib -> tornado ipywidgets -> ipykernel[version='>=4.5.1'] -> tornado[version='>=4|>=4,<6|>=4.0|>=4.2|>=4.2,<7.0|>=5.0,<7.0|>=6.1|>=5.0|>=5.0,<7|>=4.1,<7'] jupyterlab -> notebook[version='>=4.3.1'] -> tornado[version='>=4|>=4,<6|>=4.1,<7|>=5.0|>=5.0,<7'] nglview -> notebook -> tornado[version='>=4.0|>=4.2|>=4.2,<7.0|>=4|>=4,<6|>=4.1,<7|>=5.0,<7|>=5.0|>=6.1|>=5.0,<7.0']

Package singledispatch conflicts for: jupyterlab -> tornado[version='!=6.0.0,!=6.0.1,!=6.0.2'] -> singledispatch pylint -> singledispatch matplotlib -> tornado -> singledispatch

Package certifi conflicts for: pip -> setuptools -> certifi[version='>=2016.09|>=2016.9.26|>=2017.4.17'] pymatgen=2020.12.31 -> matplotlib-base[version='>=1.5'] -> certifi[version='>=2017.4.17|>=2020.06.20'] matminer=0.7.3 -> requests[version='>=2.20.0'] -> certifi[version='>=2017.4.17'] seaborn -> matplotlib-base[version='>=2.1.2'] -> certifi[version='>=2020.06.20'] pyg=2.0.1 -> requests -> certifi[version='>=2017.4.17'] matplotlib -> matplotlib-base[version='>=3.5.2,<3.5.3.0a0'] -> certifi[version='>=2016.09|>=2016.9.26|>=2020.06.20'] ase=3.22 -> matplotlib-base -> certifi[version='>=2020.06.20'] jupyterlab -> tornado[version='!=6.0.0,!=6.0.1,!=6.0.2'] -> certifi

Package ipykernel conflicts for: ipywidgets -> ipykernel[version='>=4.2.2|>=4.5.1'] nglview -> ipykernel[version='<4.7'] jupyterlab -> notebook[version='>=4.3.1'] -> ipykernel nglview -> ipywidgets[version='>=7'] -> ipykernel[version='>=4.2.2|>=4.5.1']

Package wheel conflicts for: python=3.8 -> pip -> wheel pymatgen=2020.12.31 -> pip -> wheel matminer=0.7.3 -> pip -> wheel pytorch-lightning=1.3.8 -> tensorboard[version='>=2.2.0,!=2.5.0'] -> wheel[version='>=0.26'] jupyterlab -> jupyter-packaging[version='>=0.7,<1'] -> wheel pip -> wheel

Package backports conflicts for: matplotlib -> backports.functools_lru_cache -> backports pylint -> backports.functools_lru_cache -> backports

Package numexpr conflicts for: matminer=0.7.3 -> pandas[version='>=0.23.4'] -> numexpr[version='>=2.6.8|>=2.7.0|>=2.7.1'] seaborn -> pandas[version='>=0.22.0'] -> numexpr[version='>=2.6.8|>=2.7.0|>=2.7.1'] pymatgen=2020.12.31 -> pandas -> numexpr[version='>=2.6.8|>=2.7.0|>=2.7.1'] pyg=2.0.1 -> pandas -> numexpr[version='>=2.6.8|>=2.7.0|>=2.7.1']

Package numpy-base conflicts for: pyg=2.0.1 -> numpy -> numpy-base[version='1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.14.3|1.14.3|1.14.3|1.14.4|1.14.4|1.14.4|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.15.0|1.15.0|1.15.0|1.15.0|1.15.1|1.15.1|1.15.1|1.15.1|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.3|1.15.3|1.15.3|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.2|1.16.2|1.16.2|1.16.3|1.16.3|1.16.3|1.16.4|1.16.4|1.16.5|1.16.5|1.16.5|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.17.2.|1.17.3.|1.17.4.|1.18.1.|1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.21.2|1.21.2|1.21.2|1.21.2|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.22.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|>=1.9.3,<2.0a0|1.17.0|1.17.0',build='py37hc3f5095_0|py36hc3f5095_0|py37h5c71026_6|py27h0bb1d87_6|py36h5c71026_7|py37h5c71026_7|py37h5c71026_7|py37h5c71026_8|py27h0bb1d87_8|py35h4a99626_9|py36h4a99626_9|py37h4a99626_9|py27hfef472a_9|py37h8128ebf_9|py36h8128ebf_9|py35h8128ebf_9|py27h2753ae9_9|py35h8128ebf_10|py36h8128ebf_10|py36h8128ebf_11|py37h8128ebf_11|py37h2a9b21d_11|py27hb1d0314_11|py37hc3f5095_12|py36hc3f5095_12|py36h555522e_1|py36h5c71026_0|py27h0bb1d87_1|py37h5c71026_1|py37h5c71026_3|py36h5c71026_4|py35h4a99626_4|py36h8128ebf_4|py37h8128ebf_4|py27h2753ae9_4|py35h8128ebf_4|py37hc3f5095_5|py27hb1d0314_5|py35h4a99626_0|py36h4a99626_0|py37h4a99626_0|py37h8128ebf_0|py35h8128ebf_0|py36h8128ebf_0|py36h8128ebf_0|py37h8128ebf_0|py36h8128ebf_0|py37h8128ebf_0|py36h8128ebf_0|py27hb1d0314_0|py37hc3f5095_0|py37hc3f5095_0|py36hc3f5095_0|py37hc3f5095_1|py27hb1d0314_0|py37hc3f5095_0|py36hc3f5095_0|py37hc3f5095_1|py27hb1d0314_1|py37hc3f5095_0|py37hc3f5095_0|py36hc3f5095_0|py36hc3f5095_0|py37hc3f5095_0|py37hc3f5095_0|py37hc3f5095_0|py36h5bb6eb2_3|py39h378b42e_4|py38ha3acd2a_0|py37ha3acd2a_0|py36ha3acd2a_0|py38ha3acd2a_0|py37ha3acd2a_0|py36ha3acd2a_0|py39hbd0edd7_0|py37haf7ebc8_0|py38haf7ebc8_0|py39hc2deb75_0|py38hc2deb75_0|py37hc2deb75_0|py38hc2deb75_0|py39hc2deb75_0|py38h0829f74_0|py310hedd7904_0|py38hc2deb75_0|py37hca35cd5_1|py38hca35cd5_1|py39hca35cd5_1|py39hca35cd5_2|py310h206c741_2|py37hca35cd5_3|py38hca35cd5_3|py310h206c741_3|py39hca35cd5_0|py38hca35cd5_0|py310h206c741_0|py39hca35cd5_3|py37hca35cd5_2|py38hca35cd5_2|py310h206c741_1|py37hc2deb75_0|py39hc2deb75_0|py310h0829f74_0|py37h0829f74_0|py39h0829f74_0|py37hc2deb75_0|py39haf7ebc8_0|py38h5bb6eb2_1|py37h5bb6eb2_1|py39h5bb6eb2_1|py37h378b42e_4|py38h378b42e_4|py38h5bb6eb2_3|py39h5bb6eb2_3|py37h5bb6eb2_3|py39h2e04a8b_1|py27hb1d0314_0|py38hc3f5095_0|py36hc3f5095_0|py27hb1d0314_0|py36hc3f5095_0|py27hb1d0314_0|py36hc3f5095_0|py27hb1d0314_0|py36hc3f5095_1|py27hb1d0314_1|py36hc3f5095_1|py27hb1d0314_0|py36hc3f5095_0|py27h2753ae9_0|py37h8128ebf_0|py27h2753ae9_0|py27h2753ae9_1|py27h2753ae9_0|py35h8128ebf_0|py27h2753ae9_0|py27hfef472a_0|py36hc3f5095_5|py38hc3f5095_4|py37h5c71026_4|py27h0bb1d87_4|py36h5c71026_3|py27h0bb1d87_3|py27h0bb1d87_2|py37h5c71026_2|py36h5c71026_2|py36h5c71026_1|py37h5c71026_0|py36h5c71026_0|py27h0bb1d87_0|py35h5c71026_0|py27h0bb1d87_0|py35h5c71026_0|py27h917549b_1|py35h555522e_1|py38hc3f5095_12|py27hb1d0314_12|py36h2a9b21d_11|py27h2753ae9_10|py37h8128ebf_10|py35h4a99626_8|py36h5c71026_8|py36h5c71026_7|py27h0bb1d87_7|py35h5c71026_7|py27h0bb1d87_7|py36h5c71026_6'] ase=3.22 -> numpy -> numpy-base[version='1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.14.3|1.14.3|1.14.3|1.14.4|1.14.4|1.14.4|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.15.0|1.15.0|1.15.0|1.15.0|1.15.1|1.15.1|1.15.1|1.15.1|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.3|1.15.3|1.15.3|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.2|1.16.2|1.16.2|1.16.3|1.16.3|1.16.3|1.16.4|1.16.4|1.16.5|1.16.5|1.16.5|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.17.2.|1.17.3.|1.17.4.|1.18.1.|1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.21.2|1.21.2|1.21.2|1.21.2|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.22.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|>=1.9.3,<2.0a0|1.17.0|1.17.0',build='py37hc3f5095_0|py36hc3f5095_0|py37h5c71026_6|py27h0bb1d87_6|py36h5c71026_7|py37h5c71026_7|py37h5c71026_7|py37h5c71026_8|py27h0bb1d87_8|py35h4a99626_9|py36h4a99626_9|py37h4a99626_9|py27hfef472a_9|py37h8128ebf_9|py36h8128ebf_9|py35h8128ebf_9|py27h2753ae9_9|py35h8128ebf_10|py36h8128ebf_10|py36h8128ebf_11|py37h8128ebf_11|py37h2a9b21d_11|py27hb1d0314_11|py37hc3f5095_12|py36hc3f5095_12|py36h555522e_1|py36h5c71026_0|py27h0bb1d87_1|py37h5c71026_1|py37h5c71026_3|py36h5c71026_4|py35h4a99626_4|py36h8128ebf_4|py37h8128ebf_4|py27h2753ae9_4|py35h8128ebf_4|py37hc3f5095_5|py27hb1d0314_5|py35h4a99626_0|py36h4a99626_0|py37h4a99626_0|py37h8128ebf_0|py35h8128ebf_0|py36h8128ebf_0|py36h8128ebf_0|py37h8128ebf_0|py36h8128ebf_0|py37h8128ebf_0|py36h8128ebf_0|py27hb1d0314_0|py37hc3f5095_0|py37hc3f5095_0|py36hc3f5095_0|py37hc3f5095_1|py27hb1d0314_0|py37hc3f5095_0|py36hc3f5095_0|py37hc3f5095_1|py27hb1d0314_1|py37hc3f5095_0|py37hc3f5095_0|py36hc3f5095_0|py36hc3f5095_0|py37hc3f5095_0|py37hc3f5095_0|py37hc3f5095_0|py36h5bb6eb2_3|py39h378b42e_4|py38ha3acd2a_0|py37ha3acd2a_0|py36ha3acd2a_0|py38ha3acd2a_0|py37ha3acd2a_0|py36ha3acd2a_0|py39hbd0edd7_0|py37haf7ebc8_0|py38haf7ebc8_0|py39hc2deb75_0|py38hc2deb75_0|py37hc2deb75_0|py38hc2deb75_0|py39hc2deb75_0|py38h0829f74_0|py310hedd7904_0|py38hc2deb75_0|py37hca35cd5_1|py38hca35cd5_1|py39hca35cd5_1|py39hca35cd5_2|py310h206c741_2|py37hca35cd5_3|py38hca35cd5_3|py310h206c741_3|py39hca35cd5_0|py38hca35cd5_0|py310h206c741_0|py39hca35cd5_3|py37hca35cd5_2|py38hca35cd5_2|py310h206c741_1|py37hc2deb75_0|py39hc2deb75_0|py310h0829f74_0|py37h0829f74_0|py39h0829f74_0|py37hc2deb75_0|py39haf7ebc8_0|py38h5bb6eb2_1|py37h5bb6eb2_1|py39h5bb6eb2_1|py37h378b42e_4|py38h378b42e_4|py38h5bb6eb2_3|py39h5bb6eb2_3|py37h5bb6eb2_3|py39h2e04a8b_1|py27hb1d0314_0|py38hc3f5095_0|py36hc3f5095_0|py27hb1d0314_0|py36hc3f5095_0|py27hb1d0314_0|py36hc3f5095_0|py27hb1d0314_0|py36hc3f5095_1|py27hb1d0314_1|py36hc3f5095_1|py27hb1d0314_0|py36hc3f5095_0|py27h2753ae9_0|py37h8128ebf_0|py27h2753ae9_0|py27h2753ae9_1|py27h2753ae9_0|py35h8128ebf_0|py27h2753ae9_0|py27hfef472a_0|py36hc3f5095_5|py38hc3f5095_4|py37h5c71026_4|py27h0bb1d87_4|py36h5c71026_3|py27h0bb1d87_3|py27h0bb1d87_2|py37h5c71026_2|py36h5c71026_2|py36h5c71026_1|py37h5c71026_0|py36h5c71026_0|py27h0bb1d87_0|py35h5c71026_0|py27h0bb1d87_0|py35h5c71026_0|py27h917549b_1|py35h555522e_1|py38hc3f5095_12|py27hb1d0314_12|py36h2a9b21d_11|py27h2753ae9_10|py37h8128ebf_10|py35h4a99626_8|py36h5c71026_8|py36h5c71026_7|py27h0bb1d87_7|py35h5c71026_7|py27h0bb1d87_7|py36h5c71026_6'] pytorch=1.8.1 -> numpy[version='>=1.19'] -> numpy-base[version='1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.21.2|1.21.2|1.21.2|1.21.2|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.22.3',build='py38ha3acd2a_0|py37ha3acd2a_0|py36ha3acd2a_0|py38ha3acd2a_0|py37ha3acd2a_0|py36ha3acd2a_0|py39hbd0edd7_0|py37haf7ebc8_0|py38haf7ebc8_0|py39hc2deb75_0|py38hc2deb75_0|py37hc2deb75_0|py38hc2deb75_0|py39hc2deb75_0|py38h0829f74_0|py310hedd7904_0|py38hc2deb75_0|py37hca35cd5_1|py38hca35cd5_1|py39hca35cd5_1|py39hca35cd5_2|py310h206c741_2|py37hca35cd5_3|py38hca35cd5_3|py310h206c741_3|py39hca35cd5_0|py38hca35cd5_0|py310h206c741_0|py39hca35cd5_3|py37hca35cd5_2|py38hca35cd5_2|py310h206c741_1|py37hc2deb75_0|py39hc2deb75_0|py310h0829f74_0|py37h0829f74_0|py39h0829f74_0|py37hc2deb75_0|py39haf7ebc8_0|py38h5bb6eb2_1|py37h5bb6eb2_1|py39h5bb6eb2_1'] matplotlib -> numpy=1.11 -> numpy-base[version='1.11.3|1.22.3|1.22.3|1.22.3|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.2|1.21.2|1.21.2|1.21.2|1.20.3|1.20.3|1.20.3|1.20.2|1.20.2|1.20.2|1.20.1|1.20.1|1.20.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.1|1.19.1|1.19.1|1.18.5.|1.18.1.|1.17.4.|1.17.3.|1.17.2.*|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.5|1.16.5|1.16.5|1.16.4|1.16.4|1.16.3|1.16.3|1.16.3|1.16.2|1.16.2|1.16.2|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.3|1.15.3|1.15.3|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.1|1.15.1|1.15.1|1.15.1|1.15.0|1.15.0|1.15.0|1.15.0|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.17.0|1.17.0|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.4|1.14.4|1.14.4|1.14.3|1.14.3|1.14.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|>=1.9.3,<2.0a0',build='py37h5c71026_6|py36h5c71026_6|py27h0bb1d87_6|py37h5c71026_7|py35h555522e_1|py36h555522e_1|py27h0bb1d87_0|py27h0bb1d87_1|py36h5c71026_1|py36h5c71026_3|py37h5c71026_3|py27h0bb1d87_4|py36h5c71026_4|py35h4a99626_4|py37hc3f5095_0|py36hc3f5095_0|py36h8128ebf_4|py37h8128ebf_4|py27h2753ae9_4|py35h8128ebf_4|py38hc3f5095_4|py37hc3f5095_5|py27hb1d0314_5|py35h4a99626_0|py36h4a99626_0|py37h4a99626_0|py37h8128ebf_0|py36h8128ebf_0|py35h8128ebf_0|py37h8128ebf_0|py27h2753ae9_1|py36h8128ebf_0|py37h8128ebf_0|py36h8128ebf_0|py36hc3f5095_0|py37hc3f5095_0|py37hc3f5095_0|py27hb1d0314_0|py37hc3f5095_1|py27hb1d0314_1|py37hc3f5095_0|py36hc3f5095_0|py37hc3f5095_1|py27hb1d0314_0|py37hc3f5095_0|py36hc3f5095_0|py37hc3f5095_0|py36hc3f5095_0|py27hb1d0314_0|py37hc3f5095_0|py36hc3f5095_0|py37hc3f5095_0|py36hc3f5095_0|py37hc3f5095_0|py27hb1d0314_0|py38ha3acd2a_0|py36ha3acd2a_0|py38ha3acd2a_0|py37ha3acd2a_0|py39hbd0edd7_0|py39hc2deb75_0|py38hc2deb75_0|py38h0829f74_0|py39hc2deb75_0|py38hc2deb75_0|py38hca35cd5_1|py39hca35cd5_1|py310h206c741_1|py38hca35cd5_2|py310h206c741_2|py37hca35cd5_3|py38hca35cd5_3|py310h206c741_3|py310h206c741_0|py38hca35cd5_0|py37h5c71026_7|py37h5c71026_8|py27h0bb1d87_8|py35h4a99626_9|py36h4a99626_9|py37h8128ebf_9|py35h8128ebf_9|py36h8128ebf_10|py27h2753ae9_10|py36h8128ebf_11|py37h8128ebf_11|py37h2a9b21d_11|py27hb1d0314_11|py37hc3f5095_12|py36hc3f5095_12|py38hc3f5095_12|py27hb1d0314_12|py36h2a9b21d_11|py37h8128ebf_10|py35h8128ebf_10|py27h2753ae9_9|py36h8128ebf_9|py27hfef472a_9|py37h4a99626_9|py35h4a99626_8|py36h5c71026_8|py36h5c71026_7|py27h0bb1d87_7|py39hca35cd5_0|py39hca35cd5_3|py37hca35cd5_2|py39hca35cd5_2|py37hca35cd5_1|py37hc2deb75_0|py310hedd7904_0|py310h0829f74_0|py37h0829f74_0|py39h0829f74_0|py39hc2deb75_0|py38hc2deb75_0|py37hc2deb75_0|py37hc2deb75_0|py38haf7ebc8_0|py39haf7ebc8_0|py37haf7ebc8_0|py38h5bb6eb2_1|py37h5bb6eb2_1|py39h5bb6eb2_1|py36ha3acd2a_0|py37ha3acd2a_0|py37h378b42e_4|py39h378b42e_4|py38h378b42e_4|py38h5bb6eb2_3|py36h5bb6eb2_3|py39h5bb6eb2_3|py37h5bb6eb2_3|py39h2e04a8b_1|py38hc3f5095_0|py27hb1d0314_0|py36hc3f5095_0|py27hb1d0314_1|py36hc3f5095_1|py27hb1d0314_0|py36hc3f5095_1|py36hc3f5095_0|py27hb1d0314_0|py27h2753ae9_0|py27h2753ae9_0|py37h8128ebf_0|py36h8128ebf_0|py27h2753ae9_0|py27h2753ae9_0|py35h8128ebf_0|py27hfef472a_0|py36hc3f5095_5|py37h5c71026_4|py27h0bb1d87_3|py27h0bb1d87_2|py37h5c71026_2|py36h5c71026_2|py37h5c71026_1|py37h5c71026_0|py36h5c71026_0|py35h5c71026_0|py27h0bb1d87_0|py36h5c71026_0|py35h5c71026_0|py27h917549b_1|py35h5c71026_7|py36h5c71026_7|py27h0bb1d87_7'] nglview -> numpy -> numpy-base[version='1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.14.3|1.14.3|1.14.3|1.14.4|1.14.4|1.14.4|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.15.0|1.15.0|1.15.0|1.15.0|1.15.1|1.15.1|1.15.1|1.15.1|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.3|1.15.3|1.15.3|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.2|1.16.2|1.16.2|1.16.3|1.16.3|1.16.3|1.16.4|1.16.4|1.16.5|1.16.5|1.16.5|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.17.2.|1.17.3.|1.17.4.|1.18.1.|1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.21.2|1.21.2|1.21.2|1.21.2|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.22.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|>=1.9.3,<2.0a0|1.17.0|1.17.0',build='py37hc3f5095_0|py36hc3f5095_0|py37h5c71026_6|py27h0bb1d87_6|py36h5c71026_7|py37h5c71026_7|py37h5c71026_7|py37h5c71026_8|py27h0bb1d87_8|py35h4a99626_9|py36h4a99626_9|py37h4a99626_9|py27hfef472a_9|py37h8128ebf_9|py36h8128ebf_9|py35h8128ebf_9|py27h2753ae9_9|py35h8128ebf_10|py36h8128ebf_10|py36h8128ebf_11|py37h8128ebf_11|py37h2a9b21d_11|py27hb1d0314_11|py37hc3f5095_12|py36hc3f5095_12|py36h555522e_1|py36h5c71026_0|py27h0bb1d87_1|py37h5c71026_1|py37h5c71026_3|py36h5c71026_4|py35h4a99626_4|py36h8128ebf_4|py37h8128ebf_4|py27h2753ae9_4|py35h8128ebf_4|py37hc3f5095_5|py27hb1d0314_5|py35h4a99626_0|py36h4a99626_0|py37h4a99626_0|py37h8128ebf_0|py35h8128ebf_0|py36h8128ebf_0|py36h8128ebf_0|py37h8128ebf_0|py36h8128ebf_0|py37h8128ebf_0|py36h8128ebf_0|py27hb1d0314_0|py37hc3f5095_0|py37hc3f5095_0|py36hc3f5095_0|py37hc3f5095_1|py27hb1d0314_0|py37hc3f5095_0|py36hc3f5095_0|py37hc3f5095_1|py27hb1d0314_1|py37hc3f5095_0|py37hc3f5095_0|py36hc3f5095_0|py36hc3f5095_0|py37hc3f5095_0|py37hc3f5095_0|py37hc3f5095_0|py36h5bb6eb2_3|py39h378b42e_4|py38ha3acd2a_0|py37ha3acd2a_0|py36ha3acd2a_0|py38ha3acd2a_0|py37ha3acd2a_0|py36ha3acd2a_0|py39hbd0edd7_0|py37haf7ebc8_0|py38haf7ebc8_0|py39hc2deb75_0|py38hc2deb75_0|py37hc2deb75_0|py38hc2deb75_0|py39hc2deb75_0|py38h0829f74_0|py310hedd7904_0|py38hc2deb75_0|py37hca35cd5_1|py38hca35cd5_1|py39hca35cd5_1|py39hca35cd5_2|py310h206c741_2|py37hca35cd5_3|py38hca35cd5_3|py310h206c741_3|py39hca35cd5_0|py38hca35cd5_0|py310h206c741_0|py39hca35cd5_3|py37hca35cd5_2|py38hca35cd5_2|py310h206c741_1|py37hc2deb75_0|py39hc2deb75_0|py310h0829f74_0|py37h0829f74_0|py39h0829f74_0|py37hc2deb75_0|py39haf7ebc8_0|py38h5bb6eb2_1|py37h5bb6eb2_1|py39h5bb6eb2_1|py37h378b42e_4|py38h378b42e_4|py38h5bb6eb2_3|py39h5bb6eb2_3|py37h5bb6eb2_3|py39h2e04a8b_1|py27hb1d0314_0|py38hc3f5095_0|py36hc3f5095_0|py27hb1d0314_0|py36hc3f5095_0|py27hb1d0314_0|py36hc3f5095_0|py27hb1d0314_0|py36hc3f5095_1|py27hb1d0314_1|py36hc3f5095_1|py27hb1d0314_0|py36hc3f5095_0|py27h2753ae9_0|py37h8128ebf_0|py27h2753ae9_0|py27h2753ae9_1|py27h2753ae9_0|py35h8128ebf_0|py27h2753ae9_0|py27hfef472a_0|py36hc3f5095_5|py38hc3f5095_4|py37h5c71026_4|py27h0bb1d87_4|py36h5c71026_3|py27h0bb1d87_3|py27h0bb1d87_2|py37h5c71026_2|py36h5c71026_2|py36h5c71026_1|py37h5c71026_0|py36h5c71026_0|py27h0bb1d87_0|py35h5c71026_0|py27h0bb1d87_0|py35h5c71026_0|py27h917549b_1|py35h555522e_1|py38hc3f5095_12|py27hb1d0314_12|py36h2a9b21d_11|py27h2753ae9_10|py37h8128ebf_10|py35h4a99626_8|py36h5c71026_8|py36h5c71026_7|py27h0bb1d87_7|py35h5c71026_7|py27h0bb1d87_7|py36h5c71026_6'] pytorch-lightning=1.3.8 -> numpy[version='>=1.17.2'] -> numpy-base[version='1.17.2.|1.17.3.|1.17.4.|1.18.1.|1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.21.2|1.21.2|1.21.2|1.21.2|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.22.3',build='py38ha3acd2a_0|py37ha3acd2a_0|py36ha3acd2a_0|py38ha3acd2a_0|py37ha3acd2a_0|py36ha3acd2a_0|py39hbd0edd7_0|py37haf7ebc8_0|py38haf7ebc8_0|py39hc2deb75_0|py38hc2deb75_0|py37hc2deb75_0|py38hc2deb75_0|py39hc2deb75_0|py38h0829f74_0|py310hedd7904_0|py38hc2deb75_0|py37hca35cd5_1|py38hca35cd5_1|py39hca35cd5_1|py39hca35cd5_2|py310h206c741_2|py37hca35cd5_3|py38hca35cd5_3|py310h206c741_3|py39hca35cd5_0|py38hca35cd5_0|py310h206c741_0|py39hca35cd5_3|py37hca35cd5_2|py38hca35cd5_2|py310h206c741_1|py37hc2deb75_0|py39hc2deb75_0|py310h0829f74_0|py37h0829f74_0|py39h0829f74_0|py37hc2deb75_0|py39haf7ebc8_0|py38h5bb6eb2_1|py37h5bb6eb2_1|py39h5bb6eb2_1'] pymatgen=2020.12.31 -> numpy[version='>=1.19.4,<2.0a0'] -> numpy-base[version='1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.21.2|1.21.2|1.21.2|1.21.2|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.22.3',build='py37haf7ebc8_0|py38haf7ebc8_0|py39hc2deb75_0|py38hc2deb75_0|py37hc2deb75_0|py38hc2deb75_0|py39hc2deb75_0|py38h0829f74_0|py310hedd7904_0|py38hc2deb75_0|py37hca35cd5_1|py38hca35cd5_1|py39hca35cd5_1|py39hca35cd5_2|py310h206c741_2|py37hca35cd5_3|py38hca35cd5_3|py310h206c741_3|py39hca35cd5_0|py38hca35cd5_0|py310h206c741_0|py39hca35cd5_3|py37hca35cd5_2|py38hca35cd5_2|py310h206c741_1|py37hc2deb75_0|py39hc2deb75_0|py310h0829f74_0|py37h0829f74_0|py39h0829f74_0|py37hc2deb75_0|py39haf7ebc8_0'] seaborn -> numpy[version='>=1.13.3'] -> numpy-base[version='1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.14.3|1.14.3|1.14.3|1.14.4|1.14.4|1.14.4|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.15.0|1.15.0|1.15.0|1.15.0|1.15.1|1.15.1|1.15.1|1.15.1|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.3|1.15.3|1.15.3|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.2|1.16.2|1.16.2|1.16.3|1.16.3|1.16.3|1.16.4|1.16.4|1.16.5|1.16.5|1.16.5|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.17.2.|1.17.3.|1.17.4.|1.18.1.|1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.21.2|1.21.2|1.21.2|1.21.2|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.22.3|1.17.0|1.17.0|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|>=1.9.3,<2.0a0',build='py37h5c71026_6|py36h5c71026_6|py37h5c71026_7|py36h5c71026_7|py37h5c71026_8|py27h0bb1d87_8|py35h4a99626_9|py36h4a99626_9|py27hfef472a_9|py37h8128ebf_9|py35h8128ebf_10|py36h8128ebf_10|py27h2753ae9_10|py36h8128ebf_11|py37h8128ebf_11|py37h2a9b21d_11|py27hb1d0314_11|py37hc3f5095_12|py36hc3f5095_12|py37hc3f5095_0|py36h555522e_1|py36h5c71026_0|py27h0bb1d87_1|py37h5c71026_1|py37h5c71026_3|py36h5c71026_4|py35h4a99626_4|py36h8128ebf_4|py37h8128ebf_4|py27h2753ae9_4|py35h8128ebf_4|py37hc3f5095_5|py27hb1d0314_5|py35h4a99626_0|py36h4a99626_0|py37h4a99626_0|py37h8128ebf_0|py35h8128ebf_0|py36h8128ebf_0|py36h8128ebf_0|py37h8128ebf_0|py36h8128ebf_0|py37h8128ebf_0|py36h8128ebf_0|py27hb1d0314_0|py37hc3f5095_0|py37hc3f5095_0|py36hc3f5095_0|py37hc3f5095_1|py27hb1d0314_0|py37hc3f5095_0|py36hc3f5095_0|py37hc3f5095_1|py27hb1d0314_1|py37hc3f5095_0|py37hc3f5095_0|py36hc3f5095_0|py36hc3f5095_0|py37hc3f5095_0|py37hc3f5095_0|py37hc3f5095_0|py36h5bb6eb2_3|py39h378b42e_4|py38ha3acd2a_0|py37ha3acd2a_0|py36ha3acd2a_0|py38ha3acd2a_0|py37ha3acd2a_0|py36ha3acd2a_0|py39hbd0edd7_0|py37haf7ebc8_0|py38haf7ebc8_0|py39hc2deb75_0|py38hc2deb75_0|py37hc2deb75_0|py38hc2deb75_0|py39hc2deb75_0|py38h0829f74_0|py310hedd7904_0|py38hc2deb75_0|py37hca35cd5_1|py38hca35cd5_1|py39hca35cd5_1|py39hca35cd5_2|py310h206c741_2|py37hca35cd5_3|py38hca35cd5_3|py310h206c741_3|py39hca35cd5_0|py38hca35cd5_0|py310h206c741_0|py39hca35cd5_3|py37hca35cd5_2|py38hca35cd5_2|py310h206c741_1|py37hc2deb75_0|py39hc2deb75_0|py310h0829f74_0|py37h0829f74_0|py39h0829f74_0|py37hc2deb75_0|py39haf7ebc8_0|py38h5bb6eb2_1|py37h5bb6eb2_1|py39h5bb6eb2_1|py37h378b42e_4|py38h378b42e_4|py38h5bb6eb2_3|py39h5bb6eb2_3|py37h5bb6eb2_3|py39h2e04a8b_1|py27hb1d0314_0|py38hc3f5095_0|py36hc3f5095_0|py27hb1d0314_0|py36hc3f5095_0|py27hb1d0314_0|py36hc3f5095_0|py27hb1d0314_0|py36hc3f5095_1|py27hb1d0314_1|py36hc3f5095_1|py27hb1d0314_0|py36hc3f5095_0|py27h2753ae9_0|py37h8128ebf_0|py27h2753ae9_0|py27h2753ae9_1|py27h2753ae9_0|py35h8128ebf_0|py27h2753ae9_0|py27hfef472a_0|py36hc3f5095_5|py38hc3f5095_4|py37h5c71026_4|py27h0bb1d87_4|py36h5c71026_3|py27h0bb1d87_3|py27h0bb1d87_2|py37h5c71026_2|py36h5c71026_2|py36h5c71026_1|py37h5c71026_0|py36h5c71026_0|py27h0bb1d87_0|py35h5c71026_0|py27h0bb1d87_0|py35h5c71026_0|py27h917549b_1|py35h555522e_1|py36hc3f5095_0|py38hc3f5095_12|py27hb1d0314_12|py36h2a9b21d_11|py37h8128ebf_10|py27h2753ae9_9|py35h8128ebf_9|py36h8128ebf_9|py37h4a99626_9|py35h4a99626_8|py36h5c71026_8|py37h5c71026_7|py27h0bb1d87_7|py35h5c71026_7|py36h5c71026_7|py27h0bb1d87_7|py27h0bb1d87_6'] matminer=0.7.3 -> numpy[version='>=1.18.3'] -> numpy-base[version='1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.21.2|1.21.2|1.21.2|1.21.2|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.22.3',build='py38ha3acd2a_0|py37ha3acd2a_0|py36ha3acd2a_0|py38ha3acd2a_0|py37ha3acd2a_0|py36ha3acd2a_0|py39hbd0edd7_0|py37haf7ebc8_0|py38haf7ebc8_0|py39hc2deb75_0|py38hc2deb75_0|py37hc2deb75_0|py38hc2deb75_0|py39hc2deb75_0|py38h0829f74_0|py310hedd7904_0|py38hc2deb75_0|py37hca35cd5_1|py38hca35cd5_1|py39hca35cd5_1|py39hca35cd5_2|py310h206c741_2|py37hca35cd5_3|py38hca35cd5_3|py310h206c741_3|py39hca35cd5_0|py38hca35cd5_0|py310h206c741_0|py39hca35cd5_3|py37hca35cd5_2|py38hca35cd5_2|py310h206c741_1|py37hc2deb75_0|py39hc2deb75_0|py310h0829f74_0|py37h0829f74_0|py39h0829f74_0|py37hc2deb75_0|py39haf7ebc8_0|py38h5bb6eb2_1|py37h5bb6eb2_1|py39h5bb6eb2_1']

Package matplotlib-base conflicts for: seaborn -> matplotlib-base[version='>=2.1.2'] seaborn -> seaborn-base[version='>=0.11.2,<0.11.3.0a0'] -> matplotlib-base[version='2.1.2|2.1.2|2.1.2|2.2.3|2.2.3|2.2.3|2.2.4|2.2.4|2.2.4|2.2.4|2.2.4|2.2.4|2.2.4|2.2.4|2.2.4|2.2.4|3.0.2|3.0.2|3.0.3|3.0.3|3.0.3|3.0.3|3.1.0|3.1.0|3.1.0|3.1.0|3.1.1|3.1.1|3.1.1|3.1.1|3.1.1|3.1.1|3.1.1|3.1.1|3.1.2|3.1.2|3.1.2|3.1.2|3.1.2|3.1.2|3.1.3|3.1.3|3.1.3|>=2.2|>=3.5.2,<3.5.3.0a0|>=3.5.1,<3.5.2.0a0|>=3.5.0,<3.5.1.0a0|>=3.4.3,<3.4.4.0a0|>=3.4.2,<3.4.3.0a0|>=3.4.1,<3.4.2.0a0|>=3.3.4,<3.3.5.0a0|>=3.3.3,<3.3.4.0a0|>=3.3.2,<3.3.3.0a0|>=3.3.1,<3.3.2.0a0|>=3.3.0,<3.3.1.0a0|>=3.2.2,<3.2.3.0a0|>=3.2.1,<3.2.2.0a0|>=3.2.0,<3.2.1.0a0|>=2.2.5,<2.2.6.0a0|3.1.3|3.1.3|3.1.3|3.1.2|3.1.2|3.1.2',build='py37h64f37c6_1|py37h64f37c6_0|py27h6595424_1|py36h2981e6d_1|py27he27c676_0|py37h2852a4a_0|py27h6595424_1|py36h3e3dc42_0|py37h3e3dc42_0|py37h3e3dc42_0|py37h2852a4a_0|py37h2852a4a_1|py38h2981e6d_1|py36h2981e6d_0|py37h2981e6d_0|py38h2981e6d_0|py36h2981e6d_1|py38h2981e6d_1|py36h2981e6d_0|py38h2981e6d_0|py37h2981e6d_0|py37h2981e6d_1|py37h2981e6d_2|py36h2981e6d_2|py38h2981e6d_2|py36h2852a4a_1|py36h2852a4a_0|py36h2852a4a_1|py37h2852a4a_1|py36h3e3dc42_0|py37h3e3dc42_1|py36h3e3dc42_1|py37h3e3dc42_1002|py36h3e3dc42_1002|py27h6595424_2|py37h2981e6d_2|py36h2981e6d_2|py38h2981e6d_2|py36h2981e6d_1|py37h2981e6d_1|py36h2852a4a_0|py37ha47f3eb_1|py36ha47f3eb_1|py27hf194043_1|py37h2981e6d_1|py38h64f37c6_0|py36h64f37c6_0|py36h64f37c6_1|py38h64f37c6_1']

Package wincertstore conflicts for: pip -> setuptools -> wincertstore[version='>=0.2'] matplotlib -> setuptools -> wincertstore[version='>=0.2']

Package pandas conflicts for: seaborn -> pandas[version='>=0.14.0|>=0.22.0|>=0.23'] seaborn -> statsmodels[version='>=0.8.0'] -> pandas[version='>=0.14|>=0.21|>=1.0']

Package markupsafe conflicts for: pyg=2.0.1 -> jinja2 -> markupsafe[version='>=0.23|>=0.23,<2|>=0.23,<2.1|>=2.0|>=2.0.0rc2'] jupyterlab -> jinja2[version='>=2.10'] -> markupsafe[version='>=0.23|>=0.23,<2|>=0.23,<2.1|>=2.0|>=2.0.0rc2']

Package typing conflicts for: pymatgen=2020.12.31 -> ruamel.yaml[version='>=0.15.6'] -> typing pytorch=1.8.1 -> typing_extensions -> typing[version='>=3.6.2|>=3.7.4'] pylint -> tomlkit[version='>=0.10.1'] -> typing[version='>=3.6,<4.0|>=3.7.4|>=3.6.2']

Package backports.functools_lru_cache conflicts for: seaborn -> matplotlib-base[version='>=2.1.2'] -> backports.functools_lru_cache ase=3.22 -> matplotlib-base -> backports.functools_lru_cache pymatgen=2020.12.31 -> matplotlib-base[version='>=1.5'] -> backports.functools_lru_cache matplotlib -> backports.functools_lru_cache pylint -> backports.functools_lru_cache

Package dataclasses conflicts for: pytorch-lightning=1.3.8 -> pytorch[version='>=1.4'] -> dataclasses pymatgen=2020.12.31 -> dataclasses[version='>=0.6'] pyg=2.0.1 -> pytorch=1.9 -> dataclasses matminer=0.7.3 -> pymatgen[version='>=2019.10.2'] -> dataclasses[version='>=0.6'] jupyterlab -> jupyter_server[version='>=1.4,<2'] -> dataclasses pytorch=1.8.1 -> dataclasses

Package qt conflicts for: pymatgen=2020.12.31 -> vtk[version='>=6.0.0'] -> qt[version='>=5.12.9,<5.13.0a0'] matplotlib -> pyqt -> qt[version='4.8.|5.6.|5.9.*|>=5.12.5,<5.13.0a0|>=5.12.9,<5.13.0a0|>=5.9.7,<5.10.0a0|>=5.6.2,<5.7.0a0|>=5.9.6,<5.10.0a0|>=5.9.4,<5.10.0a0']

Package pymatgen conflicts for: pymatgen=2020.12.31 matminer=0.7.3 -> pymatgen[version='>=2019.10.2']

Package tomlkit conflicts for: jupyterlab -> jupyter-packaging[version='>=0.7,<1'] -> tomlkit pylint -> tomlkit[version='>=0.10.1']

Package jupyter_core conflicts for: jupyterlab -> jupyter_core jupyterlab -> jupyter_server[version='>=1.16,<2'] -> jupyter_core[version='>=4.4.0|>=4.6.0|>=4.7|>=4.7.0|>=4.6.1']

Package openblas conflicts for: pyg=2.0.1 -> numpy -> openblas[version='0.2.20|0.2.20.*|>=0.2.20,<0.2.21.0a0|>=0.3.3,<0.3.4.0a0'] ase=3.22 -> numpy -> openblas[version='0.2.20|0.2.20.*|>=0.2.20,<0.2.21.0a0|>=0.3.3,<0.3.4.0a0'] seaborn -> numpy[version='>=1.13.3'] -> openblas[version='0.2.20|0.2.20.*|>=0.2.20,<0.2.21.0a0|>=0.3.3,<0.3.4.0a0'] nglview -> numpy -> openblas[version='0.2.20|0.2.20.*|>=0.2.20,<0.2.21.0a0|>=0.3.3,<0.3.4.0a0'] matplotlib -> numpy[version='>=1.14.6,<2.0a0'] -> openblas[version='0.2.20|0.2.20.*|>=0.2.20,<0.2.21.0a0|>=0.3.3,<0.3.4.0a0']

Package pyreadline conflicts for: ipywidgets -> ipython[version='>=4.0.0'] -> pyreadline jupyterlab -> ipython -> pyreadline pylint -> dill[version='>=0.2'] -> pyreadline[version='>=1.7.1']

Package pyparsing conflicts for: pymatgen=2020.12.31 -> matplotlib-base[version='>=1.5'] -> pyparsing[version='>=2.0.3,!=2.0.4,!=2.1.2,!=2.1.6|>=2.2.1'] jupyterlab -> packaging -> pyparsing[version='<3,>=2.0.2|>=2.0.2,!=3.0.5|>=2.0.2,<3|>=2.0.2'] ase=3.22 -> matplotlib-base -> pyparsing[version='>=2.0.3,!=2.0.4,!=2.1.2,!=2.1.6|>=2.2.1'] pip -> packaging -> pyparsing[version='<3,>=2.0.2|>=2.0.2,!=3.0.5|>=2.0.2,<3|>=2.0.2'] pyg=2.0.1 -> pyparsing pytorch-lightning=1.3.8 -> packaging -> pyparsing[version='<3,>=2.0.2|>=2.0.2,!=3.0.5|>=2.0.2,<3|>=2.0.2'] matplotlib -> matplotlib-base[version='>=3.5.2,<3.5.3.0a0'] -> pyparsing[version='>=2.0.3,!=2.0.4,!=2.1.2,!=2.1.6|>=2.2.1'] matplotlib -> pyparsing matminer=0.7.3 -> httplib2[version='>=0.10.3'] -> pyparsing[version='>=2.4.2,<3|>=2.4.2,<4'] seaborn -> matplotlib-base[version='>=2.1.2'] -> pyparsing[version='>=2.0.3,!=2.0.4,!=2.1.2,!=2.1.6|>=2.2.1']

Package vs2008_runtime conflicts for: seaborn -> python -> vs2008_runtime matplotlib -> python[version='>=2.7,<2.8.0a0'] -> vs2008_runtime[version='>=9.0.30729.1,<10.0a0'] pip -> python -> vs2008_runtime ipywidgets -> python -> vs2008_runtime pylint -> python[version='>=2.7,<2.8.0a0'] -> vs2008_runtime autopep8 -> python -> vs2008_runtime pytorch=1.8.1 -> ninja -> vs2008_runtime nglview -> python -> vs2008_runtime tqdm -> python[version='>=2.7'] -> vs2008_runtime jupyterlab -> python[version='>=2.7,<2.8.0a0'] -> vs2008_runtime

Package kiwisolver conflicts for: matplotlib -> kiwisolver matplotlib -> matplotlib-base[version='>=3.5.2,<3.5.3.0a0'] -> kiwisolver[version='>=1.0.1']

Package typing-extensions conflicts for: pylint -> typing-extensions[version='>=3.10.0'] matminer=0.7.3 -> pymatgen[version='>=2019.10.2'] -> typing-extensions[version='>=3.7.4.3'] matplotlib -> kiwisolver -> typing-extensions pytorch-lightning=1.3.8 -> pytorch[version='>=1.4'] -> typing-extensions pylint -> astroid[version='>=2.11.6,<2.12.0'] -> typing-extensions[version='>=3.10|>=3.7.4']

Package scipy conflicts for: pymatgen=2020.12.31 -> scipy[version='>=1.4.1'] seaborn -> statsmodels[version='>=0.8.0'] -> scipy[version='>=0.14|>=1.2|>=1.3'] ase=3.22 -> scipy pymatgen=2020.12.31 -> ase[version='>=3.3'] -> scipy[version='>=1.5,!=1.6.1|>=1.8'] matminer=0.7.3 -> ase[version='>=3.14.1'] -> scipy[version='>=0.19.1|>=1.0.1|>=1.4.1|>=1.5.0|>=1.1.0'] seaborn -> scipy[version='>=0.15.2|>=1.0.1|>=1.0'] pyg=2.0.1 -> networkx[version='>=2.4'] -> scipy[version='>=0.19.1|>=1.1.0|>=1.5,!=1.6.1|>=1.8']

Package importlib_metadata conflicts for: matminer=0.7.3 -> pint[version='>=0.8.1'] -> importlib_metadata jupyterlab -> jupyterlab_server[version='>=2.10,<3'] -> importlib_metadata[version='>=3.6']

Package matplotlib conflicts for: pymatgen=2020.12.31 -> ase[version='>=3.3'] -> matplotlib[version='>=3.3'] matplotlib seaborn -> matplotlib[version='>=1.4.3|>=2.1.2|>=2.2'] matminer=0.7.3 -> ase[version='>=3.14.1'] -> matplotlib[version='>=1.5']

Package ipywidgets conflicts for: nglview -> ipywidgets[version='7|>=7|>=5.2.2|>=5.2.2,<6'] ipywidgets

Package yaml conflicts for: pyg=2.0.1 -> pyyaml -> yaml[version='>=0.1.7,<0.2.0a0|>=0.2.2,<0.3.0a0|>=0.2.5,<0.3.0a0'] pytorch-lightning=1.3.8 -> pyyaml[version='>=5.1,<=5.4.1'] -> yaml[version='>=0.1.7,<0.2.0a0|>=0.2.2,<0.3.0a0|>=0.2.5,<0.3.0a0']

Package ucrt conflicts for: python=3.8 -> vs2015_runtime[version='>=14.16.27033'] -> ucrt[version='>=10.0.20348.0'] matplotlib -> vs2015_runtime[version='>=14.16.27012,<15.0a0'] -> ucrt[version='>=10.0.20348.0'] pymatgen=2020.12.31 -> vs2015_runtime[version='>=14.16.27012'] -> ucrt[version='>=10.0.20348.0']

Package threadpoolctl conflicts for: pyg=2.0.1 -> scikit-learn -> threadpoolctl[version='>=2.0.0'] matminer=0.7.3 -> scikit-learn[version='>=0.21.3'] -> threadpoolctl[version='>=2.0.0']

Package tbb conflicts for: pytorch=1.8.1 -> mkl[version='>=2018'] -> tbb=2021 pymatgen=2020.12.31 -> vtk[version='>=6.0.0'] -> tbb[version='<2021.0.0a0|>=2020.2|>=2020.2,<2021.0.0a0|>=2021.4.0|>=2021.5.0|>=2019.9|>=2019.7|>=2019.6|>=2019.5|>=2019.4|>=2019.3|>=2019.0|>=2019.1']

Package future conflicts for: pytorch-lightning=1.3.8 -> future matminer=0.7.3 -> future[version='>=0.16.0'] pymatgen=2020.12.31 -> uncertainties -> future

Package werkzeug conflicts for: pytorch-lightning=1.3.8 -> tensorboard[version='>=2.2.0,!=2.5.0'] -> werkzeug[version='>=0.11.15|>=1.0.1'] ase=3.22 -> flask -> werkzeug[version='>=0.14|>=0.15|>=0.15,<2.0|>=2.0|>=0.7|>=0.7,<1.0.0']

Package pytorch-mutex conflicts for: pyg=2.0.1 -> cpuonly -> pytorch-mutex==1.0=cpu cpuonly -> pytorch-mutex==1.0=cpu pytorch-lightning=1.3.8 -> pytorch[version='>=1.4'] -> pytorch-mutex==1.0[build='cpu|cuda']

Package pytorch conflicts for: pytorch-lightning=1.3.8 -> torchmetrics[version='>=0.2.0'] -> pytorch[version='>=1.3|>=1.3.1'] pytorch-lightning=1.3.8 -> pytorch[version='>=1.4'] pytorch=1.8.1

Package notebook conflicts for: jupyterlab -> nbclassic[version='>=0.2,<1'] -> notebook[version='<7|>=4.2.0'] jupyterlab -> notebook[version='>=4.2|>=4.3|>=4.3.1']

Package libpng conflicts for: matplotlib -> libpng[version='>=1.6.23,<1.7|>=1.6.37,<1.7.0a0|>=1.6.36,<1.7.0a0|>=1.6.35,<1.7.0a0|>=1.6.34,<1.7.0a0|>=1.6.32,<1.7.0a0'] matplotlib -> freetype=2.6 -> libpng[version='1.6.*|>=1.6.21,<1.7|>=1.6.32,<1.6.35']

Package numpy conflicts for: seaborn -> numpy[version='>=1.13.3|>=1.9.3|>=1.15'] seaborn -> statsmodels[version='>=0.8.0'] -> numpy[version='1.10.|1.11.|1.12.|1.13.|>=1.11.|>=1.11.3,<2.0a0|>=1.11|>=1.14.6,<2.0a0|>=1.15.4,<2.0a0|>=1.16.5,<2.0a0|>=1.16.6,<2.0a0|>=1.18.5,<2.0a0|>=1.19.5,<2.0a0|>=1.21.5,<2.0a0|>=1.21.4,<2.0a0|>=1.19.2,<2.0a0|>=1.18.1,<2.0a0|>=1.17.5,<2.0a0|>=1.21.2,<2.0a0|>=1.17.0,<2.0a0|>=1.19.1,<2.0a0|>=1.17|>=1.21.6,<2.0a0|>=1.19.4,<2.0a0|>=1.12.1,<2.0a0|>=1.9.|>=1.20.3,<2.0a0|>=1.20.2,<2.0a0|>=1.13.3,<2.0a0|>=1.15.1,<2.0a0|>=1.9|>=1.8|>=1.7|>=1.11.3,<1.12.0a0|>=1.4.0']The following specifications were found to be incompatible with your system:

feature:/win-64::__win==0=0
feature:|@/win-64::__win==0=0
ipywidgets -> ipykernel[version='>=4.5.1'] -> __win
nglview -> ipykernel -> __win

Your installed version is: 0`

Environment issues and some name inconsistency

Dear authors,

Hi, when I install the environment by running 'conda env create -f env.yml', I got stuck in the 'solving environment' step of conda.

Could you check this step? I think something might be wrong here ~.

Also, there are some errors when I run the training code. Some places you name it cdvae but you use crystalvae to refer it in the pipeline.

opened by YKQ98 7
What is the shape of the graph network input layer that represents a single crystal structure?

I believe CGCNN is a 3D matrix that looks more like a cube than a high-aspect ratio box, though I don't remember the specific default shape off the top of my head. Assuming this is a valid question to be asking, what is the input shape that represents a single crystal structure in CDVAE? E.g. $100\times100\times50$.

opened by sgbaird 4
Question about the reconstruction task
Hi authors,

I have a question about the reconstruction experiments in CDVAE. I have tried running the training on mp_20 dataset, and run these commands to do the reconstruction and evaluation following instructions in README.md:

python scripts/evaluate.py --model_path /home/lyz/cdvae/hydra/singlerun/2022-04-04/mp_20/ --tasks recon python scripts/compute_metrics.py --root_path /home/lyz/cdvae/hydra/singlerun/2022-04-04/mp_20/ --tasks recon

However, the reconstruction match rate is very low:

{"match_rate": 0.16604023877957108, "rms_dist": 0.05085572933343641}

I noticed that there is an option to only reconstruct coordinates and lattices while keeping ground truth atom types and numbers, and tried this option as:

python scripts/evaluate.py --model_path /home/lyz/cdvae/hydra/singlerun/2022-04-04/mp_20/ --tasks recon --force_num_atoms --force_atom_types

This time the reconstruction match rate is much higher:

{"match_rate": 0.3720981649347778, "rms_dist": 0.14127310664427778}

Hence I think whether two materials match is related to their atom types. I am wondering for the reconstruction performance result reported in Table 1 of the paper, do you reconstruct all things about materials in the test set, or only reconstruct coordinates and lattices and keeping ground truth atom types and numbers?

Thank you for your possible help!

Best
opened by lyzustc 4
How to train prop_models on a custom dataset

I really appreciate your work and I want to train and evaluate this model on a custom dataset. However, after completing the three tasks, I failed to evaluate the generation task and optimisation task. It seems that I need to train another property predictor (like those models in cdvae/prop_models) on the custom dataset independently, but I failed find the code to train it. Would you mind provide some instructions to train this property predictor? Thank you very much!

opened by Breaddsmall 2
What code was used to visualize the structures?

It looks a lot like pymatviz (see struct_vis), but I didn't think that pymatviz dealt with transparency, so I'm assuming it's something else.

https://github.com/txie-93/cdvae/tree/main/data/perov_5#visualization-of-structures

opened by sgbaird 2
Decoder loss

Hi,

Very interesting work! A question, though: in the paper equation 2 (the decoder loss) shouldn’t the score, s, be divided by sigma (i.e., so that it becomes the score conditioned on sigma), and d_min be divided by sigma^2 (instead of just sigma)? This is what I get from comparing the work by Song and Ermon, and it also seems to be how you have implemented it here in the codebase. Or maybe I have misunderstood something?

opened by filipekstrm 2

Reconstruction evaluation error

Hello @txie-93!

Thanks for the great code/repo. It is refreshing to have such high quality research code.

I have trained a model with property prediction, but running the evaluation for reconstruction throws this error:

(cdvae) markn@MacBook-Pro cdvae % PYTHONPATH=. python scripts/evaluate.py --model_path /Users/markn/code/cdvae/hydra/singlerun/2022-09-15/mini-property-pred --tasks gen opt recon --batch_size 10 --num_batches_to_samples 2
/Users/markn/anaconda3/envs/cdvae/lib/python3.8/site-packages/hydra/experimental/compose.py:16: UserWarning: hydra.experimental.compose() is no longer experimental. Use hydra.compose()
  warnings.warn(
 72%|██████████████████████████████████████████████████████▋                     | 285/396 [00:17<00:05, 20.42it/s]/Users/markn/anaconda3/envs/cdvae/lib/python3.8/site-packages/pymatgen/io/cif.py:1193: UserWarning: Issues encountered while parsing CIF: Some fractional co-ordinates rounded to ideal values to avoid issues with finite precision.
  warnings.warn(
100%|████████████████████████████████████████████████████████████████████████████| 396/396 [00:24<00:00, 16.12it/s]
/Users/markn/anaconda3/envs/cdvae/lib/python3.8/site-packages/torch_geometric/deprecation.py:13: UserWarning: 'data.DataLoader' is deprecated, use 'loader.DataLoader' instead
  warnings.warn(out)
Evaluate model on the reconstruction task.
batch 0 in 13
/Users/markn/code/cdvae/cdvae/common/data_utils.py:622: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
  X = torch.tensor(X, dtype=torch.float)
100%|██████████████████████████████████████████████████████████████████████████████| 50/50 [10:50<00:00, 13.01s/it]
Batch(edge_index=[2, 1114], y=[32, 1], frac_coords=[298, 3], atom_types=[298], lengths=[32, 3], angles=[32, 3], to_jimages=[1114, 3], num_atoms=[32], num_bonds=[32], num_nodes=298, batch=[298], ptr=[33])
Traceback (most recent call last):
  File "scripts/evaluate.py", line 281, in <module>
    main(args)
  File "scripts/evaluate.py", line 195, in main
    all_frac_coords_stack, all_atom_types_stack, input_data_batch) = reconstructon(
  File "scripts/evaluate.py", line 70, in reconstructon
    input_data_list = input_data_list + batch.to_data_list()
  File "/Users/markn/anaconda3/envs/cdvae/lib/python3.8/site-packages/torch_geometric/data/batch.py", line 157, in to_data_list
    return [self.get(i) for i in range(self.num_graphs)]
  File "/Users/markn/anaconda3/envs/cdvae/lib/python3.8/site-packages/torch_geometric/data/batch.py", line 157, in <listcomp>
    return [self.get(i) for i in range(self.num_graphs)]
  File "/Users/markn/anaconda3/envs/cdvae/lib/python3.8/site-packages/torch_geometric/data/batch.py", line 90, in get
    data = separate(
  File "/Users/markn/anaconda3/envs/cdvae/lib/python3.8/site-packages/torch_geometric/data/separate.py", line 40, in separate
    data_store[attr] = _separate(attr, batch_store[attr], idx, slices,
  File "/Users/markn/anaconda3/envs/cdvae/lib/python3.8/site-packages/torch_geometric/data/separate.py", line 87, in _separate
    if decrement and (incs.dim() > 1 or int(incs[idx]) != 0):
AttributeError: 'NoneType' object has no attribute 'dim'

Perhaps this is related to the pytorch geometric version? The version that was installed is torch-geometric==2.0.1

Otherwise, do you have any pointers/suggestions?

thanks,

Mark

opened by DeNeutoy 1

Faster conda dependency installation

Installing the conda environment can take very long (>1h).

In this PR I've created env_sub.yml, where a couple of dependencies from env.yml are commented out (I did not completely delete them to make transparent what exactly was left out). The ones that are commented out are then installed directly via conda install. For me this takes only a couple of minutes this way.

Let me know what you think :)

opened by danielzuegner 0
Error when doing training: Segmentation fault

Hi professor, I followed the installation in README and use env.yaml to create the conda environment on GPU clusters. When i try command like python cdvae/run.py data=carbon an error occurs: [2022-12-15 21:18:19,363][hydra.utils][INFO] - Instantiating <cdvae.pl_data.datamodule.CrystDataModule> Segmentation fault (core dumped) I have tried other data like mp_20 and tried to add CXX=g++ before command but still failed. Could you please help me about that? Thanks !

opened by JiamingHu121 0

How can I solve the cuda capability problem?

When I command 'python cdvae/run.py data=perov expname=perov',I meet the problem that CUDA capabilities probelm.The concrete hint is as follow:

packages/torch/cuda/__init__.py:104: UserWarning: 
NVIDIA GeForce RTX 4090 with CUDA capability sm_89 is not compatible with the current PyTorch installation.
The current PyTorch install supports CUDA capabilities sm_37 sm_50 sm_60 sm_61 sm_70 sm_75 compute_37.

opened by feiji110 2

Consider using ElMD for the composition-based distance

For a "more chemically intuitive" distance metric. Original implementation: ElMD and ElM2D. Lightning-fast version of ElM2D at https://github.com/sparks-baird/chem_wasserstein. $10k \times 10k$ pairwise distances on order of ~10 seconds on CPU.

https://github.com/txie-93/cdvae/blob/f857f598d6f6cca5dc1ea0582d228f12dcc2c2ea/scripts/compute_metrics.py#L17 https://github.com/txie-93/cdvae/blob/f857f598d6f6cca5dc1ea0582d228f12dcc2c2ea/scripts/compute_metrics.py#L92

opened by sgbaird 1
Unable to create new environment from env.cpu.yml file
This is what outputs in Anaconda Prompt:

`(base) C:\Users\colto\Desktop>conda env create -f env.cpu.yml

Collecting package metadata (repodata.json): done
Solving environment: /

Found conflicts! Looking for incompatible packages.

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

Output in format: Requested package -> Available versions

Package requests conflicts for: pyg=2.0.1 -> requests python=3.8 -> pip -> requests matminer=0.7.3 -> citrination-client[version='>=4.0.1'] -> requests[version='>=2.18.4'] jupyterlab -> jupyterlab_server[version='>=2.10,<3'] -> requests matminer=0.7.3 -> requests[version='>=2.20.0'] pytorch-lightning=1.3.8 -> tensorboard[version='>=2.2.0,!=2.5.0'] -> requests[version='>=2.21.0|>=2.21.0,<3'] pymatgen=2020.12.31 -> requests pip -> requests

Package zlib conflicts for: matplotlib -> zlib[version='>=1.2.11,<1.3.0a0'] jupyterlab -> python[version='>=3.7'] -> zlib[version='>=1.2.11,<1.3.0a0'] matminer=0.7.3 -> python[version='>=3.5'] -> zlib[version='>=1.2.11,<1.3.0a0'] pymatgen=2020.12.31 -> matplotlib-base[version='>=1.5'] -> zlib[version='1.2.|1.2.11.|>=1.2.11,<1.3.0a0|>=1.2.12,<1.3.0a0'] python=3.8 -> pypy3.8=7.3.9 -> zlib[version='>=1.2.11,<1.3.0a0'] pytorch-lightning=1.3.8 -> python[version='>=3.6'] -> zlib[version='>=1.2.11,<1.3.0a0'] pylint -> python[version='>=3.7.2'] -> zlib[version='>=1.2.11,<1.3.0a0'] seaborn -> matplotlib-base[version='>=2.1.2'] -> zlib[version='>=1.2.11,<1.3.0a0'] pip -> python[version='>=3.7'] -> zlib[version='>=1.2.11,<1.3.0a0'] matplotlib -> freetype=2.6 -> zlib[version='1.2.*|1.2.11|1.2.8'] autopep8 -> python[version='>=3.6'] -> zlib[version='>=1.2.11,<1.3.0a0'] ase=3.22 -> matplotlib-base -> zlib[version='>=1.2.11,<1.3.0a0'] ipywidgets -> python[version='>=3.3'] -> zlib[version='>=1.2.11,<1.3.0a0'] tqdm -> python[version='>=2.7'] -> zlib[version='>=1.2.11,<1.3.0a0'] nglview -> python[version='>=3.6'] -> zlib[version='>=1.2.11,<1.3.0a0']

Package pypy3.7 conflicts for: tqdm -> python[version='>=2.7'] -> pypy3.7[version='7.3.5.|7.3.7.'] seaborn -> statsmodels[version='>=0.8.0'] -> pypy3.7[version='7.3.5.|7.3.7.|>=7.3.5|>=7.3.7'] matplotlib -> python[version='>=3.7,<3.8.0a0'] -> pypy3.7[version='7.3.|7.3.5.|7.3.7.*'] pytorch-lightning=1.3.8 -> future -> pypy3.7[version='7.3.5.|7.3.7.|>=7.3.5|>=7.3.7'] matminer=0.7.3 -> future[version='>=0.16.0'] -> pypy3.7[version='7.3.5.|7.3.7.|>=7.3.5|>=7.3.7'] pyg=2.0.1 -> numpy -> pypy3.7[version='7.3.5.|7.3.7.|>=7.3.5|>=7.3.7'] jupyterlab -> ipython -> pypy3.7[version='7.3.5.|7.3.7.|>=7.3.5|>=7.3.7'] ase=3.22 -> matplotlib-base -> pypy3.7[version='7.3.5.|7.3.7.|>=7.3.5|>=7.3.7'] nglview -> numpy -> pypy3.7[version='7.3.5.|7.3.7.|>=7.3.5|>=7.3.7'] pymatgen=2020.12.31 -> apscheduler[version='>=2.1.0'] -> pypy3.7[version='7.3.5.|7.3.7.|>=7.3.5|>=7.3.7'] autopep8 -> python[version='>=3.6'] -> pypy3.7[version='7.3.5.|7.3.7.'] pytorch=1.8.1 -> numpy[version='>=1.19'] -> pypy3.7[version='7.3.5.|7.3.7.|>=7.3.5|>=7.3.7'] matplotlib -> pypy3.7[version='>=7.3.5|>=7.3.7'] pylint -> python[version='>=3.7.2'] -> pypy3.7[version='7.3.5.|7.3.7.'] ipywidgets -> ipython[version='>=4.0.0'] -> pypy3.7[version='7.3.5.|7.3.7.|>=7.3.5|>=7.3.7'] pip -> python[version='>=3.7'] -> pypy3.7[version='7.3.5.|7.3.7.|>=7.3.7|>=7.3.5']

Package setuptools conflicts for: pymatgen=2020.12.31 -> apscheduler[version='>=2.1.0'] -> setuptools[version='<60.0.0'] autopep8 -> pycodestyle[version='>=2.3'] -> setuptools python=3.8 -> pip -> setuptools jupyterlab -> ipython -> setuptools[version='>=18.5|>=46.4.0|>=60.2.0'] pylint -> astroid[version='>=2.11.6,<2.12.0'] -> setuptools[version='>=20.0'] ase=3.22 -> matplotlib-base -> setuptools seaborn -> matplotlib-base[version='>=2.1.2'] -> setuptools[version='<60.0.0'] pytorch-lightning=1.3.8 -> tensorboard[version='>=2.2.0,!=2.5.0'] -> setuptools[version='>=41.0.0|>=41.4'] matplotlib -> setuptools matminer=0.7.3 -> citrination-client[version='>=4.0.1'] -> setuptools[version='<60.0.0'] nglview -> ipykernel -> setuptools[version='>=60'] ipywidgets -> ipykernel[version='>=4.5.1'] -> setuptools[version='>=18.5|>=60'] pip -> setuptools pyg=2.0.1 -> jinja2 -> setuptools[version='<60.0.0']

Package vs2010_runtime conflicts for: ipywidgets -> python[version='>=3.3'] -> vs2010_runtime tqdm -> python[version='>=2.7'] -> vs2010_runtime pylint -> python=3.4 -> vs2010_runtime seaborn -> python -> vs2010_runtime jupyterlab -> python=3.4 -> vs2010_runtime autopep8 -> python -> vs2010_runtime matplotlib -> python=3.4 -> vs2010_runtime nglview -> python[version='>=3'] -> vs2010_runtime pip -> python[version='>=3'] -> vs2010_runtime

Package python conflicts for: ipywidgets -> python[version='2.7.|3.5.|3.6.|>=2.7,<2.8.0a0|>=3.3|>=3.6,<3.7.0a0|>=3.5,<3.6.0a0|3.4.|>=3.7,<3.8.0a0'] ase=3.22 -> flask -> python[version='2.7.|3.5.|3.6.|>=2.7,<2.8.0a0|>=3.6,<3.7.0a0|>=3.6|>=3.7|>=3.5,<3.6.0a0|3.4.|>=3.7,<3.8.0a0|>=3.10,<3.11.0a0|>=3.9,<3.10.0a0|>=3.8,<3.9.0a0'] jupyterlab -> ipython -> python[version='>=2.7|>=3.10,<3.11.0a0|>=3.9,<3.10.0a0|>=3.8,<3.9.0a0|>=3'] nglview -> python[version='2.7.|3.5.|3.6.*|>=3|>=3.6'] ipywidgets -> ipykernel[version='>=4.5.1'] -> python[version='>=3.10,<3.11.0a0|>=3.7|>=3.9,<3.10.0a0|>=3.8,<3.9.0a0|>=3.6|>=3.5'] matminer=0.7.3 -> python[version='>=3.5'] pip -> python[version='2.7.|3.5.|3.6.|>=2.7,<2.8.0a0|>=3.7,<3.8.0a0|>=3.8,<3.9.0a0|>=3|>=3.6|>=3.7|>=3.6,<3.7.0a0|>=3.5,<3.6.0a0|3.4.|>=3.9,<3.10.0a0|>=3.10,<3.11.0a0'] ase=3.22 -> python[version='>=3.5'] pip -> wheel -> python[version='!=3.0,!=3.1,!=3.2,!=3.3,!=3.4|2.7.*|>=3.6|2.7|>=3.6|>=2.7|>=3.6,<4.0'] tqdm -> colorama -> python[version='>=3.6'] seaborn -> python[version='2.7.|3.5.|3.6.|>=3.6|3.4.|>=3.7,<3.8.0a0|>=2.7,<2.8.0a0|>=3.5,<3.6.0a0|>=3.6,<3.7.0a0'] pytorch-lightning=1.3.8 -> fsspec[version='>=2021.4.0'] -> python[version='2.7.|3.4.|3.5.|3.6.|>=2.7,<2.8.0a0|>=3.10,<3.11.0a0|>=3.8,<3.9.0a0|>=3.9,<3.10.0a0|>=3.7,<3.8.0a0|>=3.7|>=3.6,<3.7.0a0|>=3.5,<3.6.0a0|>=2.7|>=3.2|>=3.2,<3.10|>=3.5'] pytorch=1.8.1 -> python[version='>=3.6,<3.7.0a0|>=3.9,<3.10.0a0|>=3.8,<3.9.0a0|>=3.7,<3.8.0a0'] matminer=0.7.3 -> aflow[version='>=0.0.9'] -> python[version='2.7.|3.5.|3.6.|>=3.9,<3.10.0a0|>=3.10,<3.11.0a0|>=3.8,<3.9.0a0|>=3.7,<3.8.0a0|>=3.6,<3.7.0a0|>=2.7,<2.8.0a0|>=3.5,<3.6.0a0|3.4.|>=3|>=3.7|>=3.6|>=3.7.1,<3.8.0a0|>=3.8|>=3.6,<4.0|>=2.7'] seaborn -> statsmodels[version='>=0.8.0'] -> python[version='>=3.10,<3.11.0a0|>=3.8,<3.9.0a0|>=3.9,<3.10.0a0|>=3.7.1,<3.8.0a0'] jupyterlab -> python[version='2.7.|3.5.|3.6.|>=2.7,<2.8.0a0|>=3.5,<3.6.0a0|>=3.5|>=3.6|>=3.7|>=3.7,<3.8.0a0|>=3.6,<3.7.0a0|3.4.'] pylint -> colorama -> python[version='3.7.|>=2.7|>=3.5|>=3.6|>=3.6,<4.0|>=3.6.1,<4.0|>=3.7|3.8.|3.9.*'] autopep8 -> pycodestyle[version='>=2.8'] -> python[version='2.7.*|>=3.5|>=2.7|>=3.8,<3.9.0a0|>=3.10,<3.11.0a0|>=3.9,<3.10.0a0'] pylint -> python[version='2.7.|3.5.|3.6.|>=2.7,<2.8.0a0|>=3.5,<3.6.0a0|>=3.6,<3.7.0a0|>=3.6,<4|>=3.6.2,<4|>=3.6.2|>=3.7.2|>=3.7,<3.8.0a0|>=3.8,<3.9.0a0|>=3.9,<3.10.0a0|3.4.|>=3.10,<3.11.0a0'] tqdm -> python[version='2.7.|3.5.|3.6.|>=2.7|>=2.7,<2.8.0a0|>=3.8,<3.9.0a0|>=3.7,<3.8.0a0|>=3.6,<3.7.0a0|3.4.|>=3.9,<3.10.0a0|>=3.10,<3.11.0a0|>=3.5,<3.6.0a0'] matplotlib -> python[version='3.4.|3.5.|>=2.7,<2.8.0a0|>=3.10,<3.11.0a0|>=3.7,<3.8.0a0|>=3.9,<3.10.0a0|>=3.8,<3.9.0a0|>=3.6,<3.7.0a0|>=3.5,<3.6.0a0'] pymatgen=2020.12.31 -> apscheduler[version='>=2.1.0'] -> python[version='2.7.|3.5.|3.6.|>=2.7,<2.8.0a0|>=3.10,<3.11.0a0|>=3.5,<3.6.0a0|3.4.|>=3.5|>=3.6|>=3.8|>=3.7|>=3.7.1,<3.8.0a0|>=3|3.7.|>=3.6,<4.0|2.7.|>=3.5|>=2.7|>=3.6,<3.7|3.9.|3.8.'] nglview -> ipywidgets[version='>=7'] -> python[version='3.4.*|>=2.7,<2.8.0a0|>=3.3|>=3.6,<3.7.0a0|>=3.5,<3.6.0a0|>=3.7,<3.8.0a0|>=3.9,<3.10.0a0|>=3.8,<3.9.0a0|>=3.10,<3.11.0a0|>=3.7'] autopep8 -> python[version='2.7.|3.5.|3.6.|>=3.6|3.4.|>=3.6,<3.7.0a0|>=3.7,<3.8.0a0|>=2.7,<2.8.0a0|>=3.5,<3.6.0a0'] python=3.8 matplotlib -> pyqt -> python[version='2.7.|3.6.|3.10.|3.7.|3.9.|3.8.|>=3.6|>=3|<3'] pytorch-lightning=1.3.8 -> python[version='>=3.6'] pytorch=1.8.1 -> ninja -> python[version='>=2.7,<2.8.0a0|>=3.10,<3.11.0a0|>=3.5,<3.6.0a0|>=3.7|>=3.6|>=3.5|>=3.6,<3.7'] pymatgen=2020.12.31 -> python[version='>=3.6,<3.7.0a0|>=3.7,<3.8.0a0|>=3.9,<3.10.0a0|>=3.8,<3.9.0a0']

Package icc_rt conflicts for: pytorch-lightning=1.3.8 -> numpy[version='>=1.17.2'] -> icc_rt[version='>=2019.0.0'] seaborn -> numpy[version='>=1.13.3'] -> icc_rt[version='>=13.1.6|>=2019.0.0|>=16.0.4'] matminer=0.7.3 -> numpy[version='>=1.18.3'] -> icc_rt[version='>=2019.0.0'] pyg=2.0.1 -> numpy -> icc_rt[version='>=13.1.6|>=2019.0.0|>=16.0.4'] ase=3.22 -> numpy -> icc_rt[version='>=13.1.6|>=2019.0.0|>=16.0.4'] matplotlib -> numpy=1.11 -> icc_rt[version='>=13.1.6|>=2019.0.0|>=16.0.4'] pymatgen=2020.12.31 -> scipy[version='>=1.4.1'] -> icc_rt[version='>=2019.0.0'] nglview -> numpy -> icc_rt[version='>=13.1.6|>=2019.0.0|>=16.0.4']

Package charset-normalizer conflicts for: pymatgen=2020.12.31 -> requests -> charset-normalizer[version='>=2,<3|>=2.0.0,<2.1|>=2.0.0,<2.0.1|>=2.0.0,<2.1.0'] pip -> requests -> charset-normalizer[version='>=2,<3|>=2.0.0,<2.1|>=2.0.0,<2.0.1|>=2.0.0,<2.1.0'] matminer=0.7.3 -> requests[version='>=2.20.0'] -> charset-normalizer[version='>=2,<3|>=2.0.0,<2.1|>=2.0.0,<2.0.1|>=2.0.0,<2.1.0'] pyg=2.0.1 -> requests -> charset-normalizer[version='>=2,<3|>=2.0.0,<2.1|>=2.0.0,<2.0.1|>=2.0.0,<2.1.0']

Package pillow conflicts for: seaborn -> matplotlib-base[version='>=2.1.2'] -> pillow[version='>=6.2.0'] matplotlib -> matplotlib-base[version='>=3.5.2,<3.5.3.0a0'] -> pillow[version='>=6.2.0'] ase=3.22 -> matplotlib-base -> pillow[version='>=6.2.0'] pymatgen=2020.12.31 -> matplotlib-base[version='>=1.5'] -> pillow[version='>=6.2.0']

Package pygments conflicts for: jupyterlab -> ipython -> pygments[version='>=2.4.0'] ipywidgets -> ipython[version='>=4.0.0'] -> pygments[version='>=2.4.0']

Package colorama conflicts for: pip -> colorama jupyterlab -> ipython -> colorama matminer=0.7.3 -> pip -> colorama pymatgen=2020.12.31 -> pip -> colorama tqdm -> colorama pytorch-lightning=1.3.8 -> tqdm[version='>=4.41.0'] -> colorama pylint -> colorama pyg=2.0.1 -> tqdm -> colorama python=3.8 -> pip -> colorama ipywidgets -> ipython[version='>=4.0.0'] -> colorama

Package tqdm conflicts for: matminer=0.7.3 -> tqdm[version='>=4.23.1'] matminer=0.7.3 -> mdf_forge[version='>=0.6.1'] -> tqdm[version='>=4.19.4'] pymatgen=2020.12.31 -> tqdm pytorch-lightning=1.3.8 -> tqdm[version='>=4.41.0'] tqdm

Package nbformat conflicts for: matminer=0.7.3 -> plotly[version='>=3.2.1'] -> nbformat[version='>=4.2'] jupyterlab -> jupyter_server[version='>=1.16,<2'] -> nbformat[version='>=5.2|>=5.2.0'] ipywidgets -> nbformat[version='>=4.2.0'] ipywidgets -> notebook -> nbformat nglview -> ipywidgets[version='>=7'] -> nbformat[version='>=4.2.0']

Package pytz conflicts for: matplotlib -> pytz seaborn -> matplotlib-base[version='>=2.1.2'] -> pytz[version='>=2017.2|>=2020.1|>=2017.3'] matminer=0.7.3 -> pandas[version='>=0.23.4'] -> pytz[version='>=2017.2|>=2020.1|>=2017.3'] pymatgen=2020.12.31 -> apscheduler[version='>=2.1.0'] -> pytz[version='>=2017.2|>=2020.1|>=2017.3'] pyg=2.0.1 -> pandas -> pytz[version='>=2017.2|>=2020.1|>=2017.3'] ase=3.22 -> matplotlib-base -> pytz

Package progress conflicts for: pip -> progress matminer=0.7.3 -> pip -> progress python=3.8 -> pip -> progress pymatgen=2020.12.31 -> pip -> progress

Package pyqt conflicts for: seaborn -> matplotlib[version='>=2.1.2'] -> pyqt[version='4.11.|5.|5.6.|5.9.|>=5.12.3,<5.13.0a0|>=5.9.2,<5.10.0a0|>=5.6.0,<5.7.0a0|>=5.6,<6.0a0'] matplotlib -> pyqt[version='4.11.|>=5.12.3,<5.13.0a0|>=5.9.2,<5.10.0a0|>=5.6.0,<5.7.0a0|5.9.|5.6.|>=5.6,<6.0a0|5.']

Package m2w64-gcc-libs conflicts for: pytorch=1.8.1 -> blas=[build=mkl] -> m2w64-gcc-libs ase=3.22 -> scipy -> m2w64-gcc-libs pymatgen=2020.12.31 -> scipy[version='>=1.4.1'] -> m2w64-gcc-libs seaborn -> scipy[version='>=1.0.1'] -> m2w64-gcc-libs

Package decorator conflicts for: pyg=2.0.1 -> networkx[version='>=2.4'] -> decorator[version='>=4.3.0|>=4.3.0,<5'] pymatgen=2020.12.31 -> networkx[version='>=2.2'] -> decorator[version='>=3.4.0|>=4.3.0|>=4.3.0,<5'] jupyterlab -> ipython -> decorator matminer=0.7.3 -> plotly[version='>=3.2.1'] -> decorator[version='>=4.0.6'] ipywidgets -> ipython[version='>=4.0.0'] -> decorator

Package networkx conflicts for: pymatgen=2020.12.31 -> networkx[version='>=2.2'] pyg=2.0.1 -> networkx[version='>=2.4'] pyg=2.0.1 -> python-louvain -> networkx matminer=0.7.3 -> pymatgen[version='>=2019.10.2'] -> networkx[version='>=2.2']

Package six conflicts for: matminer=0.7.3 -> six[version='>=1.16.0'] matplotlib -> cycler -> six[version='>=1.5'] pylint -> six pylint -> astroid==2.5.6 -> six[version='>=1.12,<2'] pip -> html5lib -> six[version='>=1.9'] matminer=0.7.3 -> aflow[version='>=0.0.9'] -> six[version='1.15.0|>=1.15.0'] seaborn -> patsy -> six pymatgen=2020.12.31 -> apscheduler[version='>=2.1.0'] -> six[version='1.15.0|>=1.4.0|>=1.15.0'] jupyterlab -> packaging -> six ipywidgets -> traitlets[version='>=4.3.1,<6.0.0'] -> six pytorch-lightning=1.3.8 -> packaging -> six[version='>=1.10.0|>=1.12']

Package packaging conflicts for: jupyterlab -> packaging pytorch-lightning=1.3.8 -> packaging pip -> packaging matminer=0.7.3 -> pint[version='>=0.8.1'] -> packaging nglview -> ipykernel -> packaging seaborn -> statsmodels[version='>=0.8.0'] -> packaging[version='>=20.0|>=21.3'] ipywidgets -> ipykernel[version='>=4.5.1'] -> packaging ase=3.22 -> matplotlib-base -> packaging[version='>=20.0'] python=3.8 -> pip -> packaging pip -> wheel -> packaging[version='>=20.2'] pymatgen=2020.12.31 -> matplotlib-base[version='>=1.5'] -> packaging[version='>=20.0'] matplotlib -> matplotlib-base[version='>=3.5.2,<3.5.3.0a0'] -> packaging[version='>=20.0']

Package freetype conflicts for: matplotlib -> freetype[version='2.6.*|>=2.9.1,<3.0a0|>=2.8,<2.9.0a0'] matplotlib -> matplotlib-base[version='>=3.5.2,<3.5.3.0a0'] -> freetype[version='>=2.10.2,<3.0a0|>=2.10.4,<3.0a0|>=2.3']

Package futures conflicts for: pylint -> isort[version='>=4.2.5,<6'] -> futures pymatgen=2020.12.31 -> apscheduler[version='>=2.1.0'] -> futures jupyterlab -> futures matplotlib -> tornado -> futures

Package toml conflicts for: autopep8 -> toml pylint -> toml[version='>=0.7.1|>=0.9.2']

Package typing_extensions conflicts for: pylint -> typing_extensions[version='>=3.10|>=3.10.0'] pytorch-lightning=1.3.8 -> pytorch[version='>=1.4'] -> typing_extensions matplotlib -> kiwisolver -> typing_extensions pylint -> typing-extensions[version='>=3.10.0'] -> typing_extensions[version='3.10.0.0|3.10.0.0|3.10.0.1|3.10.0.2|4.0.0|4.0.1|4.1.1|4.2.0|4.1.1|3.10.0.2',build='pyh06a4308_0|pyh06a4308_0|pyh06a4308_0|pyha770c72_0|pyha770c72_0|pyha770c72_0|pyha770c72_1|pyha770c72_0|pyha770c72_0|pyha770c72_0|pyha770c72_0'] pyg=2.0.1 -> pytorch=1.9 -> typing_extensions pytorch=1.8.1 -> typing_extensions

Package jinja2 conflicts for: pyg=2.0.1 -> jinja2 ase=3.22 -> flask -> jinja2[version='>=2.10|>=2.10.1|>=2.10.1,<3.0|>=3.0|>=2.4'] ipywidgets -> notebook -> jinja2 matminer=0.7.3 -> aflow[version='>=0.0.9'] -> jinja2 jupyterlab -> jupyter_server[version='>=1.16,<2'] -> jinja2[version='>2.10*|>=3.0.3'] nglview -> notebook -> jinja2 jupyterlab -> jinja2[version='>=2.1|>=2.10']

Package backports_abc conflicts for: jupyterlab -> tornado[version='!=6.0.0,!=6.0.1,!=6.0.2'] -> backports_abc[version='>=0.4'] matplotlib -> tornado -> backports_abc[version='>=0.4']

Package importlib-metadata conflicts for: ipywidgets -> ipykernel[version='>=4.5.1'] -> importlib-metadata[version='<4|<5'] nglview -> ipykernel -> importlib-metadata[version='<4|<5'] ase=3.22 -> flask -> importlib-metadata[version='>=3.6.0']

Package ca-certificates conflicts for: nglview -> python -> ca-certificates autopep8 -> python -> ca-certificates jupyterlab -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates tqdm -> python[version='>=2.7'] -> ca-certificates python=3.8 -> openssl[version='>=1.1.1n,<1.1.2a'] -> ca-certificates pip -> python -> ca-certificates seaborn -> python -> ca-certificates pylint -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates ipywidgets -> python -> ca-certificates matplotlib -> python[version='>=2.7,<2.8.0a0'] -> ca-certificates

Package intel-openmp conflicts for: pyg=2.0.1 -> pytorch=1.9 -> intel-openmp pytorch-lightning=1.3.8 -> pytorch[version='>=1.4'] -> intel-openmp pytorch=1.8.1 -> mkl[version='>=2018'] -> intel-openmp[version='2021.|2022.'] pytorch=1.8.1 -> intel-openmp pymatgen=2020.12.31 -> netcdf4 -> intel-openmp=2020.0

Package enum34 conflicts for: pylint -> astroid[version='>=1.6,<2.0'] -> enum34 ipywidgets -> traitlets[version='>=4.3.1,<6.0.0'] -> enum34

Package ase conflicts for: ase=3.22 matminer=0.7.3 -> ase[version='>=3.14.1'] pymatgen=2020.12.31 -> ase[version='>=3.3'] matminer=0.7.3 -> aflow[version='>=0.0.9'] -> ase[version='>=3.3']

Package pyyaml conflicts for: matminer=0.7.3 -> citrination-client[version='>=4.0.1'] -> pyyaml pyg=2.0.1 -> pyyaml pytorch-lightning=1.3.8 -> pyyaml[version='>=5.1,<=5.4.1'] pymatgen=2020.12.31 -> pybtex -> pyyaml[version='>=3.01']

Package tornado conflicts for: jupyterlab -> tornado[version='!=6.0.0,!=6.0.1,!=6.0.2|>=6.1|>=6.1.0'] pymatgen=2020.12.31 -> matplotlib-base[version='>=1.5'] -> tornado ase=3.22 -> matplotlib-base -> tornado seaborn -> matplotlib-base[version='>=2.1.2'] -> tornado matplotlib -> tornado ipywidgets -> ipykernel[version='>=4.5.1'] -> tornado[version='>=4|>=4,<6|>=4.0|>=4.2|>=4.2,<7.0|>=5.0,<7.0|>=6.1|>=5.0|>=5.0,<7|>=4.1,<7'] jupyterlab -> notebook[version='>=4.3.1'] -> tornado[version='>=4|>=4,<6|>=4.1,<7|>=5.0|>=5.0,<7'] nglview -> notebook -> tornado[version='>=4.0|>=4.2|>=4.2,<7.0|>=4|>=4,<6|>=4.1,<7|>=5.0,<7|>=5.0|>=6.1|>=5.0,<7.0']

Package singledispatch conflicts for: jupyterlab -> tornado[version='!=6.0.0,!=6.0.1,!=6.0.2'] -> singledispatch pylint -> singledispatch matplotlib -> tornado -> singledispatch

Package certifi conflicts for: pip -> setuptools -> certifi[version='>=2016.09|>=2016.9.26|>=2017.4.17'] pymatgen=2020.12.31 -> matplotlib-base[version='>=1.5'] -> certifi[version='>=2017.4.17|>=2020.06.20'] matminer=0.7.3 -> requests[version='>=2.20.0'] -> certifi[version='>=2017.4.17'] seaborn -> matplotlib-base[version='>=2.1.2'] -> certifi[version='>=2020.06.20'] pyg=2.0.1 -> requests -> certifi[version='>=2017.4.17'] matplotlib -> matplotlib-base[version='>=3.5.2,<3.5.3.0a0'] -> certifi[version='>=2016.09|>=2016.9.26|>=2020.06.20'] ase=3.22 -> matplotlib-base -> certifi[version='>=2020.06.20'] jupyterlab -> tornado[version='!=6.0.0,!=6.0.1,!=6.0.2'] -> certifi

Package ipykernel conflicts for: ipywidgets -> ipykernel[version='>=4.2.2|>=4.5.1'] nglview -> ipykernel[version='<4.7'] jupyterlab -> notebook[version='>=4.3.1'] -> ipykernel nglview -> ipywidgets[version='>=7'] -> ipykernel[version='>=4.2.2|>=4.5.1']

Package wheel conflicts for: python=3.8 -> pip -> wheel pymatgen=2020.12.31 -> pip -> wheel matminer=0.7.3 -> pip -> wheel pytorch-lightning=1.3.8 -> tensorboard[version='>=2.2.0,!=2.5.0'] -> wheel[version='>=0.26'] jupyterlab -> jupyter-packaging[version='>=0.7,<1'] -> wheel pip -> wheel

Package backports conflicts for: matplotlib -> backports.functools_lru_cache -> backports pylint -> backports.functools_lru_cache -> backports

Package numexpr conflicts for: matminer=0.7.3 -> pandas[version='>=0.23.4'] -> numexpr[version='>=2.6.8|>=2.7.0|>=2.7.1'] seaborn -> pandas[version='>=0.22.0'] -> numexpr[version='>=2.6.8|>=2.7.0|>=2.7.1'] pymatgen=2020.12.31 -> pandas -> numexpr[version='>=2.6.8|>=2.7.0|>=2.7.1'] pyg=2.0.1 -> pandas -> numexpr[version='>=2.6.8|>=2.7.0|>=2.7.1']

Package numpy-base conflicts for: pyg=2.0.1 -> numpy -> numpy-base[version='1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.14.3|1.14.3|1.14.3|1.14.4|1.14.4|1.14.4|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.15.0|1.15.0|1.15.0|1.15.0|1.15.1|1.15.1|1.15.1|1.15.1|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.3|1.15.3|1.15.3|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.2|1.16.2|1.16.2|1.16.3|1.16.3|1.16.3|1.16.4|1.16.4|1.16.5|1.16.5|1.16.5|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.17.2.|1.17.3.|1.17.4.|1.18.1.|1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.21.2|1.21.2|1.21.2|1.21.2|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.22.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|>=1.9.3,<2.0a0|1.17.0|1.17.0',build='py37hc3f5095_0|py36hc3f5095_0|py37h5c71026_6|py27h0bb1d87_6|py36h5c71026_7|py37h5c71026_7|py37h5c71026_7|py37h5c71026_8|py27h0bb1d87_8|py35h4a99626_9|py36h4a99626_9|py37h4a99626_9|py27hfef472a_9|py37h8128ebf_9|py36h8128ebf_9|py35h8128ebf_9|py27h2753ae9_9|py35h8128ebf_10|py36h8128ebf_10|py36h8128ebf_11|py37h8128ebf_11|py37h2a9b21d_11|py27hb1d0314_11|py37hc3f5095_12|py36hc3f5095_12|py36h555522e_1|py36h5c71026_0|py27h0bb1d87_1|py37h5c71026_1|py37h5c71026_3|py36h5c71026_4|py35h4a99626_4|py36h8128ebf_4|py37h8128ebf_4|py27h2753ae9_4|py35h8128ebf_4|py37hc3f5095_5|py27hb1d0314_5|py35h4a99626_0|py36h4a99626_0|py37h4a99626_0|py37h8128ebf_0|py35h8128ebf_0|py36h8128ebf_0|py36h8128ebf_0|py37h8128ebf_0|py36h8128ebf_0|py37h8128ebf_0|py36h8128ebf_0|py27hb1d0314_0|py37hc3f5095_0|py37hc3f5095_0|py36hc3f5095_0|py37hc3f5095_1|py27hb1d0314_0|py37hc3f5095_0|py36hc3f5095_0|py37hc3f5095_1|py27hb1d0314_1|py37hc3f5095_0|py37hc3f5095_0|py36hc3f5095_0|py36hc3f5095_0|py37hc3f5095_0|py37hc3f5095_0|py37hc3f5095_0|py36h5bb6eb2_3|py39h378b42e_4|py38ha3acd2a_0|py37ha3acd2a_0|py36ha3acd2a_0|py38ha3acd2a_0|py37ha3acd2a_0|py36ha3acd2a_0|py39hbd0edd7_0|py37haf7ebc8_0|py38haf7ebc8_0|py39hc2deb75_0|py38hc2deb75_0|py37hc2deb75_0|py38hc2deb75_0|py39hc2deb75_0|py38h0829f74_0|py310hedd7904_0|py38hc2deb75_0|py37hca35cd5_1|py38hca35cd5_1|py39hca35cd5_1|py39hca35cd5_2|py310h206c741_2|py37hca35cd5_3|py38hca35cd5_3|py310h206c741_3|py39hca35cd5_0|py38hca35cd5_0|py310h206c741_0|py39hca35cd5_3|py37hca35cd5_2|py38hca35cd5_2|py310h206c741_1|py37hc2deb75_0|py39hc2deb75_0|py310h0829f74_0|py37h0829f74_0|py39h0829f74_0|py37hc2deb75_0|py39haf7ebc8_0|py38h5bb6eb2_1|py37h5bb6eb2_1|py39h5bb6eb2_1|py37h378b42e_4|py38h378b42e_4|py38h5bb6eb2_3|py39h5bb6eb2_3|py37h5bb6eb2_3|py39h2e04a8b_1|py27hb1d0314_0|py38hc3f5095_0|py36hc3f5095_0|py27hb1d0314_0|py36hc3f5095_0|py27hb1d0314_0|py36hc3f5095_0|py27hb1d0314_0|py36hc3f5095_1|py27hb1d0314_1|py36hc3f5095_1|py27hb1d0314_0|py36hc3f5095_0|py27h2753ae9_0|py37h8128ebf_0|py27h2753ae9_0|py27h2753ae9_1|py27h2753ae9_0|py35h8128ebf_0|py27h2753ae9_0|py27hfef472a_0|py36hc3f5095_5|py38hc3f5095_4|py37h5c71026_4|py27h0bb1d87_4|py36h5c71026_3|py27h0bb1d87_3|py27h0bb1d87_2|py37h5c71026_2|py36h5c71026_2|py36h5c71026_1|py37h5c71026_0|py36h5c71026_0|py27h0bb1d87_0|py35h5c71026_0|py27h0bb1d87_0|py35h5c71026_0|py27h917549b_1|py35h555522e_1|py38hc3f5095_12|py27hb1d0314_12|py36h2a9b21d_11|py27h2753ae9_10|py37h8128ebf_10|py35h4a99626_8|py36h5c71026_8|py36h5c71026_7|py27h0bb1d87_7|py35h5c71026_7|py27h0bb1d87_7|py36h5c71026_6'] ase=3.22 -> numpy -> numpy-base[version='1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.14.3|1.14.3|1.14.3|1.14.4|1.14.4|1.14.4|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.15.0|1.15.0|1.15.0|1.15.0|1.15.1|1.15.1|1.15.1|1.15.1|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.3|1.15.3|1.15.3|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.2|1.16.2|1.16.2|1.16.3|1.16.3|1.16.3|1.16.4|1.16.4|1.16.5|1.16.5|1.16.5|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.17.2.|1.17.3.|1.17.4.|1.18.1.|1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.21.2|1.21.2|1.21.2|1.21.2|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.22.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|>=1.9.3,<2.0a0|1.17.0|1.17.0',build='py37hc3f5095_0|py36hc3f5095_0|py37h5c71026_6|py27h0bb1d87_6|py36h5c71026_7|py37h5c71026_7|py37h5c71026_7|py37h5c71026_8|py27h0bb1d87_8|py35h4a99626_9|py36h4a99626_9|py37h4a99626_9|py27hfef472a_9|py37h8128ebf_9|py36h8128ebf_9|py35h8128ebf_9|py27h2753ae9_9|py35h8128ebf_10|py36h8128ebf_10|py36h8128ebf_11|py37h8128ebf_11|py37h2a9b21d_11|py27hb1d0314_11|py37hc3f5095_12|py36hc3f5095_12|py36h555522e_1|py36h5c71026_0|py27h0bb1d87_1|py37h5c71026_1|py37h5c71026_3|py36h5c71026_4|py35h4a99626_4|py36h8128ebf_4|py37h8128ebf_4|py27h2753ae9_4|py35h8128ebf_4|py37hc3f5095_5|py27hb1d0314_5|py35h4a99626_0|py36h4a99626_0|py37h4a99626_0|py37h8128ebf_0|py35h8128ebf_0|py36h8128ebf_0|py36h8128ebf_0|py37h8128ebf_0|py36h8128ebf_0|py37h8128ebf_0|py36h8128ebf_0|py27hb1d0314_0|py37hc3f5095_0|py37hc3f5095_0|py36hc3f5095_0|py37hc3f5095_1|py27hb1d0314_0|py37hc3f5095_0|py36hc3f5095_0|py37hc3f5095_1|py27hb1d0314_1|py37hc3f5095_0|py37hc3f5095_0|py36hc3f5095_0|py36hc3f5095_0|py37hc3f5095_0|py37hc3f5095_0|py37hc3f5095_0|py36h5bb6eb2_3|py39h378b42e_4|py38ha3acd2a_0|py37ha3acd2a_0|py36ha3acd2a_0|py38ha3acd2a_0|py37ha3acd2a_0|py36ha3acd2a_0|py39hbd0edd7_0|py37haf7ebc8_0|py38haf7ebc8_0|py39hc2deb75_0|py38hc2deb75_0|py37hc2deb75_0|py38hc2deb75_0|py39hc2deb75_0|py38h0829f74_0|py310hedd7904_0|py38hc2deb75_0|py37hca35cd5_1|py38hca35cd5_1|py39hca35cd5_1|py39hca35cd5_2|py310h206c741_2|py37hca35cd5_3|py38hca35cd5_3|py310h206c741_3|py39hca35cd5_0|py38hca35cd5_0|py310h206c741_0|py39hca35cd5_3|py37hca35cd5_2|py38hca35cd5_2|py310h206c741_1|py37hc2deb75_0|py39hc2deb75_0|py310h0829f74_0|py37h0829f74_0|py39h0829f74_0|py37hc2deb75_0|py39haf7ebc8_0|py38h5bb6eb2_1|py37h5bb6eb2_1|py39h5bb6eb2_1|py37h378b42e_4|py38h378b42e_4|py38h5bb6eb2_3|py39h5bb6eb2_3|py37h5bb6eb2_3|py39h2e04a8b_1|py27hb1d0314_0|py38hc3f5095_0|py36hc3f5095_0|py27hb1d0314_0|py36hc3f5095_0|py27hb1d0314_0|py36hc3f5095_0|py27hb1d0314_0|py36hc3f5095_1|py27hb1d0314_1|py36hc3f5095_1|py27hb1d0314_0|py36hc3f5095_0|py27h2753ae9_0|py37h8128ebf_0|py27h2753ae9_0|py27h2753ae9_1|py27h2753ae9_0|py35h8128ebf_0|py27h2753ae9_0|py27hfef472a_0|py36hc3f5095_5|py38hc3f5095_4|py37h5c71026_4|py27h0bb1d87_4|py36h5c71026_3|py27h0bb1d87_3|py27h0bb1d87_2|py37h5c71026_2|py36h5c71026_2|py36h5c71026_1|py37h5c71026_0|py36h5c71026_0|py27h0bb1d87_0|py35h5c71026_0|py27h0bb1d87_0|py35h5c71026_0|py27h917549b_1|py35h555522e_1|py38hc3f5095_12|py27hb1d0314_12|py36h2a9b21d_11|py27h2753ae9_10|py37h8128ebf_10|py35h4a99626_8|py36h5c71026_8|py36h5c71026_7|py27h0bb1d87_7|py35h5c71026_7|py27h0bb1d87_7|py36h5c71026_6'] pytorch=1.8.1 -> numpy[version='>=1.19'] -> numpy-base[version='1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.21.2|1.21.2|1.21.2|1.21.2|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.22.3',build='py38ha3acd2a_0|py37ha3acd2a_0|py36ha3acd2a_0|py38ha3acd2a_0|py37ha3acd2a_0|py36ha3acd2a_0|py39hbd0edd7_0|py37haf7ebc8_0|py38haf7ebc8_0|py39hc2deb75_0|py38hc2deb75_0|py37hc2deb75_0|py38hc2deb75_0|py39hc2deb75_0|py38h0829f74_0|py310hedd7904_0|py38hc2deb75_0|py37hca35cd5_1|py38hca35cd5_1|py39hca35cd5_1|py39hca35cd5_2|py310h206c741_2|py37hca35cd5_3|py38hca35cd5_3|py310h206c741_3|py39hca35cd5_0|py38hca35cd5_0|py310h206c741_0|py39hca35cd5_3|py37hca35cd5_2|py38hca35cd5_2|py310h206c741_1|py37hc2deb75_0|py39hc2deb75_0|py310h0829f74_0|py37h0829f74_0|py39h0829f74_0|py37hc2deb75_0|py39haf7ebc8_0|py38h5bb6eb2_1|py37h5bb6eb2_1|py39h5bb6eb2_1'] matplotlib -> numpy=1.11 -> numpy-base[version='1.11.3|1.22.3|1.22.3|1.22.3|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.2|1.21.2|1.21.2|1.21.2|1.20.3|1.20.3|1.20.3|1.20.2|1.20.2|1.20.2|1.20.1|1.20.1|1.20.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.1|1.19.1|1.19.1|1.18.5.|1.18.1.|1.17.4.|1.17.3.|1.17.2.*|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.5|1.16.5|1.16.5|1.16.4|1.16.4|1.16.3|1.16.3|1.16.3|1.16.2|1.16.2|1.16.2|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.3|1.15.3|1.15.3|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.1|1.15.1|1.15.1|1.15.1|1.15.0|1.15.0|1.15.0|1.15.0|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.17.0|1.17.0|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.4|1.14.4|1.14.4|1.14.3|1.14.3|1.14.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|>=1.9.3,<2.0a0',build='py37h5c71026_6|py36h5c71026_6|py27h0bb1d87_6|py37h5c71026_7|py35h555522e_1|py36h555522e_1|py27h0bb1d87_0|py27h0bb1d87_1|py36h5c71026_1|py36h5c71026_3|py37h5c71026_3|py27h0bb1d87_4|py36h5c71026_4|py35h4a99626_4|py37hc3f5095_0|py36hc3f5095_0|py36h8128ebf_4|py37h8128ebf_4|py27h2753ae9_4|py35h8128ebf_4|py38hc3f5095_4|py37hc3f5095_5|py27hb1d0314_5|py35h4a99626_0|py36h4a99626_0|py37h4a99626_0|py37h8128ebf_0|py36h8128ebf_0|py35h8128ebf_0|py37h8128ebf_0|py27h2753ae9_1|py36h8128ebf_0|py37h8128ebf_0|py36h8128ebf_0|py36hc3f5095_0|py37hc3f5095_0|py37hc3f5095_0|py27hb1d0314_0|py37hc3f5095_1|py27hb1d0314_1|py37hc3f5095_0|py36hc3f5095_0|py37hc3f5095_1|py27hb1d0314_0|py37hc3f5095_0|py36hc3f5095_0|py37hc3f5095_0|py36hc3f5095_0|py27hb1d0314_0|py37hc3f5095_0|py36hc3f5095_0|py37hc3f5095_0|py36hc3f5095_0|py37hc3f5095_0|py27hb1d0314_0|py38ha3acd2a_0|py36ha3acd2a_0|py38ha3acd2a_0|py37ha3acd2a_0|py39hbd0edd7_0|py39hc2deb75_0|py38hc2deb75_0|py38h0829f74_0|py39hc2deb75_0|py38hc2deb75_0|py38hca35cd5_1|py39hca35cd5_1|py310h206c741_1|py38hca35cd5_2|py310h206c741_2|py37hca35cd5_3|py38hca35cd5_3|py310h206c741_3|py310h206c741_0|py38hca35cd5_0|py37h5c71026_7|py37h5c71026_8|py27h0bb1d87_8|py35h4a99626_9|py36h4a99626_9|py37h8128ebf_9|py35h8128ebf_9|py36h8128ebf_10|py27h2753ae9_10|py36h8128ebf_11|py37h8128ebf_11|py37h2a9b21d_11|py27hb1d0314_11|py37hc3f5095_12|py36hc3f5095_12|py38hc3f5095_12|py27hb1d0314_12|py36h2a9b21d_11|py37h8128ebf_10|py35h8128ebf_10|py27h2753ae9_9|py36h8128ebf_9|py27hfef472a_9|py37h4a99626_9|py35h4a99626_8|py36h5c71026_8|py36h5c71026_7|py27h0bb1d87_7|py39hca35cd5_0|py39hca35cd5_3|py37hca35cd5_2|py39hca35cd5_2|py37hca35cd5_1|py37hc2deb75_0|py310hedd7904_0|py310h0829f74_0|py37h0829f74_0|py39h0829f74_0|py39hc2deb75_0|py38hc2deb75_0|py37hc2deb75_0|py37hc2deb75_0|py38haf7ebc8_0|py39haf7ebc8_0|py37haf7ebc8_0|py38h5bb6eb2_1|py37h5bb6eb2_1|py39h5bb6eb2_1|py36ha3acd2a_0|py37ha3acd2a_0|py37h378b42e_4|py39h378b42e_4|py38h378b42e_4|py38h5bb6eb2_3|py36h5bb6eb2_3|py39h5bb6eb2_3|py37h5bb6eb2_3|py39h2e04a8b_1|py38hc3f5095_0|py27hb1d0314_0|py36hc3f5095_0|py27hb1d0314_1|py36hc3f5095_1|py27hb1d0314_0|py36hc3f5095_1|py36hc3f5095_0|py27hb1d0314_0|py27h2753ae9_0|py27h2753ae9_0|py37h8128ebf_0|py36h8128ebf_0|py27h2753ae9_0|py27h2753ae9_0|py35h8128ebf_0|py27hfef472a_0|py36hc3f5095_5|py37h5c71026_4|py27h0bb1d87_3|py27h0bb1d87_2|py37h5c71026_2|py36h5c71026_2|py37h5c71026_1|py37h5c71026_0|py36h5c71026_0|py35h5c71026_0|py27h0bb1d87_0|py36h5c71026_0|py35h5c71026_0|py27h917549b_1|py35h5c71026_7|py36h5c71026_7|py27h0bb1d87_7'] nglview -> numpy -> numpy-base[version='1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.14.3|1.14.3|1.14.3|1.14.4|1.14.4|1.14.4|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.15.0|1.15.0|1.15.0|1.15.0|1.15.1|1.15.1|1.15.1|1.15.1|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.3|1.15.3|1.15.3|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.2|1.16.2|1.16.2|1.16.3|1.16.3|1.16.3|1.16.4|1.16.4|1.16.5|1.16.5|1.16.5|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.17.2.|1.17.3.|1.17.4.|1.18.1.|1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.21.2|1.21.2|1.21.2|1.21.2|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.22.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|>=1.9.3,<2.0a0|1.17.0|1.17.0',build='py37hc3f5095_0|py36hc3f5095_0|py37h5c71026_6|py27h0bb1d87_6|py36h5c71026_7|py37h5c71026_7|py37h5c71026_7|py37h5c71026_8|py27h0bb1d87_8|py35h4a99626_9|py36h4a99626_9|py37h4a99626_9|py27hfef472a_9|py37h8128ebf_9|py36h8128ebf_9|py35h8128ebf_9|py27h2753ae9_9|py35h8128ebf_10|py36h8128ebf_10|py36h8128ebf_11|py37h8128ebf_11|py37h2a9b21d_11|py27hb1d0314_11|py37hc3f5095_12|py36hc3f5095_12|py36h555522e_1|py36h5c71026_0|py27h0bb1d87_1|py37h5c71026_1|py37h5c71026_3|py36h5c71026_4|py35h4a99626_4|py36h8128ebf_4|py37h8128ebf_4|py27h2753ae9_4|py35h8128ebf_4|py37hc3f5095_5|py27hb1d0314_5|py35h4a99626_0|py36h4a99626_0|py37h4a99626_0|py37h8128ebf_0|py35h8128ebf_0|py36h8128ebf_0|py36h8128ebf_0|py37h8128ebf_0|py36h8128ebf_0|py37h8128ebf_0|py36h8128ebf_0|py27hb1d0314_0|py37hc3f5095_0|py37hc3f5095_0|py36hc3f5095_0|py37hc3f5095_1|py27hb1d0314_0|py37hc3f5095_0|py36hc3f5095_0|py37hc3f5095_1|py27hb1d0314_1|py37hc3f5095_0|py37hc3f5095_0|py36hc3f5095_0|py36hc3f5095_0|py37hc3f5095_0|py37hc3f5095_0|py37hc3f5095_0|py36h5bb6eb2_3|py39h378b42e_4|py38ha3acd2a_0|py37ha3acd2a_0|py36ha3acd2a_0|py38ha3acd2a_0|py37ha3acd2a_0|py36ha3acd2a_0|py39hbd0edd7_0|py37haf7ebc8_0|py38haf7ebc8_0|py39hc2deb75_0|py38hc2deb75_0|py37hc2deb75_0|py38hc2deb75_0|py39hc2deb75_0|py38h0829f74_0|py310hedd7904_0|py38hc2deb75_0|py37hca35cd5_1|py38hca35cd5_1|py39hca35cd5_1|py39hca35cd5_2|py310h206c741_2|py37hca35cd5_3|py38hca35cd5_3|py310h206c741_3|py39hca35cd5_0|py38hca35cd5_0|py310h206c741_0|py39hca35cd5_3|py37hca35cd5_2|py38hca35cd5_2|py310h206c741_1|py37hc2deb75_0|py39hc2deb75_0|py310h0829f74_0|py37h0829f74_0|py39h0829f74_0|py37hc2deb75_0|py39haf7ebc8_0|py38h5bb6eb2_1|py37h5bb6eb2_1|py39h5bb6eb2_1|py37h378b42e_4|py38h378b42e_4|py38h5bb6eb2_3|py39h5bb6eb2_3|py37h5bb6eb2_3|py39h2e04a8b_1|py27hb1d0314_0|py38hc3f5095_0|py36hc3f5095_0|py27hb1d0314_0|py36hc3f5095_0|py27hb1d0314_0|py36hc3f5095_0|py27hb1d0314_0|py36hc3f5095_1|py27hb1d0314_1|py36hc3f5095_1|py27hb1d0314_0|py36hc3f5095_0|py27h2753ae9_0|py37h8128ebf_0|py27h2753ae9_0|py27h2753ae9_1|py27h2753ae9_0|py35h8128ebf_0|py27h2753ae9_0|py27hfef472a_0|py36hc3f5095_5|py38hc3f5095_4|py37h5c71026_4|py27h0bb1d87_4|py36h5c71026_3|py27h0bb1d87_3|py27h0bb1d87_2|py37h5c71026_2|py36h5c71026_2|py36h5c71026_1|py37h5c71026_0|py36h5c71026_0|py27h0bb1d87_0|py35h5c71026_0|py27h0bb1d87_0|py35h5c71026_0|py27h917549b_1|py35h555522e_1|py38hc3f5095_12|py27hb1d0314_12|py36h2a9b21d_11|py27h2753ae9_10|py37h8128ebf_10|py35h4a99626_8|py36h5c71026_8|py36h5c71026_7|py27h0bb1d87_7|py35h5c71026_7|py27h0bb1d87_7|py36h5c71026_6'] pytorch-lightning=1.3.8 -> numpy[version='>=1.17.2'] -> numpy-base[version='1.17.2.|1.17.3.|1.17.4.|1.18.1.|1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.21.2|1.21.2|1.21.2|1.21.2|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.22.3',build='py38ha3acd2a_0|py37ha3acd2a_0|py36ha3acd2a_0|py38ha3acd2a_0|py37ha3acd2a_0|py36ha3acd2a_0|py39hbd0edd7_0|py37haf7ebc8_0|py38haf7ebc8_0|py39hc2deb75_0|py38hc2deb75_0|py37hc2deb75_0|py38hc2deb75_0|py39hc2deb75_0|py38h0829f74_0|py310hedd7904_0|py38hc2deb75_0|py37hca35cd5_1|py38hca35cd5_1|py39hca35cd5_1|py39hca35cd5_2|py310h206c741_2|py37hca35cd5_3|py38hca35cd5_3|py310h206c741_3|py39hca35cd5_0|py38hca35cd5_0|py310h206c741_0|py39hca35cd5_3|py37hca35cd5_2|py38hca35cd5_2|py310h206c741_1|py37hc2deb75_0|py39hc2deb75_0|py310h0829f74_0|py37h0829f74_0|py39h0829f74_0|py37hc2deb75_0|py39haf7ebc8_0|py38h5bb6eb2_1|py37h5bb6eb2_1|py39h5bb6eb2_1'] pymatgen=2020.12.31 -> numpy[version='>=1.19.4,<2.0a0'] -> numpy-base[version='1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.21.2|1.21.2|1.21.2|1.21.2|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.22.3',build='py37haf7ebc8_0|py38haf7ebc8_0|py39hc2deb75_0|py38hc2deb75_0|py37hc2deb75_0|py38hc2deb75_0|py39hc2deb75_0|py38h0829f74_0|py310hedd7904_0|py38hc2deb75_0|py37hca35cd5_1|py38hca35cd5_1|py39hca35cd5_1|py39hca35cd5_2|py310h206c741_2|py37hca35cd5_3|py38hca35cd5_3|py310h206c741_3|py39hca35cd5_0|py38hca35cd5_0|py310h206c741_0|py39hca35cd5_3|py37hca35cd5_2|py38hca35cd5_2|py310h206c741_1|py37hc2deb75_0|py39hc2deb75_0|py310h0829f74_0|py37h0829f74_0|py39h0829f74_0|py37hc2deb75_0|py39haf7ebc8_0'] seaborn -> numpy[version='>=1.13.3'] -> numpy-base[version='1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.11.3|1.14.3|1.14.3|1.14.3|1.14.4|1.14.4|1.14.4|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.5|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.14.6|1.15.0|1.15.0|1.15.0|1.15.0|1.15.1|1.15.1|1.15.1|1.15.1|1.15.2|1.15.2|1.15.2|1.15.2|1.15.2|1.15.3|1.15.3|1.15.3|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.15.4|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.0|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.1|1.16.2|1.16.2|1.16.2|1.16.3|1.16.3|1.16.3|1.16.4|1.16.4|1.16.5|1.16.5|1.16.5|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.16.6|1.17.2.|1.17.3.|1.17.4.|1.18.1.|1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.21.2|1.21.2|1.21.2|1.21.2|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.22.3|1.17.0|1.17.0|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|1.9.3|>=1.9.3,<2.0a0',build='py37h5c71026_6|py36h5c71026_6|py37h5c71026_7|py36h5c71026_7|py37h5c71026_8|py27h0bb1d87_8|py35h4a99626_9|py36h4a99626_9|py27hfef472a_9|py37h8128ebf_9|py35h8128ebf_10|py36h8128ebf_10|py27h2753ae9_10|py36h8128ebf_11|py37h8128ebf_11|py37h2a9b21d_11|py27hb1d0314_11|py37hc3f5095_12|py36hc3f5095_12|py37hc3f5095_0|py36h555522e_1|py36h5c71026_0|py27h0bb1d87_1|py37h5c71026_1|py37h5c71026_3|py36h5c71026_4|py35h4a99626_4|py36h8128ebf_4|py37h8128ebf_4|py27h2753ae9_4|py35h8128ebf_4|py37hc3f5095_5|py27hb1d0314_5|py35h4a99626_0|py36h4a99626_0|py37h4a99626_0|py37h8128ebf_0|py35h8128ebf_0|py36h8128ebf_0|py36h8128ebf_0|py37h8128ebf_0|py36h8128ebf_0|py37h8128ebf_0|py36h8128ebf_0|py27hb1d0314_0|py37hc3f5095_0|py37hc3f5095_0|py36hc3f5095_0|py37hc3f5095_1|py27hb1d0314_0|py37hc3f5095_0|py36hc3f5095_0|py37hc3f5095_1|py27hb1d0314_1|py37hc3f5095_0|py37hc3f5095_0|py36hc3f5095_0|py36hc3f5095_0|py37hc3f5095_0|py37hc3f5095_0|py37hc3f5095_0|py36h5bb6eb2_3|py39h378b42e_4|py38ha3acd2a_0|py37ha3acd2a_0|py36ha3acd2a_0|py38ha3acd2a_0|py37ha3acd2a_0|py36ha3acd2a_0|py39hbd0edd7_0|py37haf7ebc8_0|py38haf7ebc8_0|py39hc2deb75_0|py38hc2deb75_0|py37hc2deb75_0|py38hc2deb75_0|py39hc2deb75_0|py38h0829f74_0|py310hedd7904_0|py38hc2deb75_0|py37hca35cd5_1|py38hca35cd5_1|py39hca35cd5_1|py39hca35cd5_2|py310h206c741_2|py37hca35cd5_3|py38hca35cd5_3|py310h206c741_3|py39hca35cd5_0|py38hca35cd5_0|py310h206c741_0|py39hca35cd5_3|py37hca35cd5_2|py38hca35cd5_2|py310h206c741_1|py37hc2deb75_0|py39hc2deb75_0|py310h0829f74_0|py37h0829f74_0|py39h0829f74_0|py37hc2deb75_0|py39haf7ebc8_0|py38h5bb6eb2_1|py37h5bb6eb2_1|py39h5bb6eb2_1|py37h378b42e_4|py38h378b42e_4|py38h5bb6eb2_3|py39h5bb6eb2_3|py37h5bb6eb2_3|py39h2e04a8b_1|py27hb1d0314_0|py38hc3f5095_0|py36hc3f5095_0|py27hb1d0314_0|py36hc3f5095_0|py27hb1d0314_0|py36hc3f5095_0|py27hb1d0314_0|py36hc3f5095_1|py27hb1d0314_1|py36hc3f5095_1|py27hb1d0314_0|py36hc3f5095_0|py27h2753ae9_0|py37h8128ebf_0|py27h2753ae9_0|py27h2753ae9_1|py27h2753ae9_0|py35h8128ebf_0|py27h2753ae9_0|py27hfef472a_0|py36hc3f5095_5|py38hc3f5095_4|py37h5c71026_4|py27h0bb1d87_4|py36h5c71026_3|py27h0bb1d87_3|py27h0bb1d87_2|py37h5c71026_2|py36h5c71026_2|py36h5c71026_1|py37h5c71026_0|py36h5c71026_0|py27h0bb1d87_0|py35h5c71026_0|py27h0bb1d87_0|py35h5c71026_0|py27h917549b_1|py35h555522e_1|py36hc3f5095_0|py38hc3f5095_12|py27hb1d0314_12|py36h2a9b21d_11|py37h8128ebf_10|py27h2753ae9_9|py35h8128ebf_9|py36h8128ebf_9|py37h4a99626_9|py35h4a99626_8|py36h5c71026_8|py37h5c71026_7|py27h0bb1d87_7|py35h5c71026_7|py36h5c71026_7|py27h0bb1d87_7|py27h0bb1d87_6'] matminer=0.7.3 -> numpy[version='>=1.18.3'] -> numpy-base[version='1.18.5.*|1.19.1|1.19.1|1.19.1|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.19.2|1.20.1|1.20.1|1.20.1|1.20.2|1.20.2|1.20.2|1.20.3|1.20.3|1.20.3|1.21.2|1.21.2|1.21.2|1.21.2|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.21.5|1.22.3',build='py38ha3acd2a_0|py37ha3acd2a_0|py36ha3acd2a_0|py38ha3acd2a_0|py37ha3acd2a_0|py36ha3acd2a_0|py39hbd0edd7_0|py37haf7ebc8_0|py38haf7ebc8_0|py39hc2deb75_0|py38hc2deb75_0|py37hc2deb75_0|py38hc2deb75_0|py39hc2deb75_0|py38h0829f74_0|py310hedd7904_0|py38hc2deb75_0|py37hca35cd5_1|py38hca35cd5_1|py39hca35cd5_1|py39hca35cd5_2|py310h206c741_2|py37hca35cd5_3|py38hca35cd5_3|py310h206c741_3|py39hca35cd5_0|py38hca35cd5_0|py310h206c741_0|py39hca35cd5_3|py37hca35cd5_2|py38hca35cd5_2|py310h206c741_1|py37hc2deb75_0|py39hc2deb75_0|py310h0829f74_0|py37h0829f74_0|py39h0829f74_0|py37hc2deb75_0|py39haf7ebc8_0|py38h5bb6eb2_1|py37h5bb6eb2_1|py39h5bb6eb2_1']

Package matplotlib-base conflicts for: seaborn -> matplotlib-base[version='>=2.1.2'] seaborn -> seaborn-base[version='>=0.11.2,<0.11.3.0a0'] -> matplotlib-base[version='2.1.2|2.1.2|2.1.2|2.2.3|2.2.3|2.2.3|2.2.4|2.2.4|2.2.4|2.2.4|2.2.4|2.2.4|2.2.4|2.2.4|2.2.4|2.2.4|3.0.2|3.0.2|3.0.3|3.0.3|3.0.3|3.0.3|3.1.0|3.1.0|3.1.0|3.1.0|3.1.1|3.1.1|3.1.1|3.1.1|3.1.1|3.1.1|3.1.1|3.1.1|3.1.2|3.1.2|3.1.2|3.1.2|3.1.2|3.1.2|3.1.3|3.1.3|3.1.3|>=2.2|>=3.5.2,<3.5.3.0a0|>=3.5.1,<3.5.2.0a0|>=3.5.0,<3.5.1.0a0|>=3.4.3,<3.4.4.0a0|>=3.4.2,<3.4.3.0a0|>=3.4.1,<3.4.2.0a0|>=3.3.4,<3.3.5.0a0|>=3.3.3,<3.3.4.0a0|>=3.3.2,<3.3.3.0a0|>=3.3.1,<3.3.2.0a0|>=3.3.0,<3.3.1.0a0|>=3.2.2,<3.2.3.0a0|>=3.2.1,<3.2.2.0a0|>=3.2.0,<3.2.1.0a0|>=2.2.5,<2.2.6.0a0|3.1.3|3.1.3|3.1.3|3.1.2|3.1.2|3.1.2',build='py37h64f37c6_1|py37h64f37c6_0|py27h6595424_1|py36h2981e6d_1|py27he27c676_0|py37h2852a4a_0|py27h6595424_1|py36h3e3dc42_0|py37h3e3dc42_0|py37h3e3dc42_0|py37h2852a4a_0|py37h2852a4a_1|py38h2981e6d_1|py36h2981e6d_0|py37h2981e6d_0|py38h2981e6d_0|py36h2981e6d_1|py38h2981e6d_1|py36h2981e6d_0|py38h2981e6d_0|py37h2981e6d_0|py37h2981e6d_1|py37h2981e6d_2|py36h2981e6d_2|py38h2981e6d_2|py36h2852a4a_1|py36h2852a4a_0|py36h2852a4a_1|py37h2852a4a_1|py36h3e3dc42_0|py37h3e3dc42_1|py36h3e3dc42_1|py37h3e3dc42_1002|py36h3e3dc42_1002|py27h6595424_2|py37h2981e6d_2|py36h2981e6d_2|py38h2981e6d_2|py36h2981e6d_1|py37h2981e6d_1|py36h2852a4a_0|py37ha47f3eb_1|py36ha47f3eb_1|py27hf194043_1|py37h2981e6d_1|py38h64f37c6_0|py36h64f37c6_0|py36h64f37c6_1|py38h64f37c6_1']

Package wincertstore conflicts for: pip -> setuptools -> wincertstore[version='>=0.2'] matplotlib -> setuptools -> wincertstore[version='>=0.2']

Package pandas conflicts for: seaborn -> pandas[version='>=0.14.0|>=0.22.0|>=0.23'] seaborn -> statsmodels[version='>=0.8.0'] -> pandas[version='>=0.14|>=0.21|>=1.0']

Package markupsafe conflicts for: pyg=2.0.1 -> jinja2 -> markupsafe[version='>=0.23|>=0.23,<2|>=0.23,<2.1|>=2.0|>=2.0.0rc2'] jupyterlab -> jinja2[version='>=2.10'] -> markupsafe[version='>=0.23|>=0.23,<2|>=0.23,<2.1|>=2.0|>=2.0.0rc2']

Package typing conflicts for: pymatgen=2020.12.31 -> ruamel.yaml[version='>=0.15.6'] -> typing pytorch=1.8.1 -> typing_extensions -> typing[version='>=3.6.2|>=3.7.4'] pylint -> tomlkit[version='>=0.10.1'] -> typing[version='>=3.6,<4.0|>=3.7.4|>=3.6.2']

Package backports.functools_lru_cache conflicts for: seaborn -> matplotlib-base[version='>=2.1.2'] -> backports.functools_lru_cache ase=3.22 -> matplotlib-base -> backports.functools_lru_cache pymatgen=2020.12.31 -> matplotlib-base[version='>=1.5'] -> backports.functools_lru_cache matplotlib -> backports.functools_lru_cache pylint -> backports.functools_lru_cache

Package dataclasses conflicts for: pytorch-lightning=1.3.8 -> pytorch[version='>=1.4'] -> dataclasses pymatgen=2020.12.31 -> dataclasses[version='>=0.6'] pyg=2.0.1 -> pytorch=1.9 -> dataclasses matminer=0.7.3 -> pymatgen[version='>=2019.10.2'] -> dataclasses[version='>=0.6'] jupyterlab -> jupyter_server[version='>=1.4,<2'] -> dataclasses pytorch=1.8.1 -> dataclasses

Package qt conflicts for: pymatgen=2020.12.31 -> vtk[version='>=6.0.0'] -> qt[version='>=5.12.9,<5.13.0a0'] matplotlib -> pyqt -> qt[version='4.8.|5.6.|5.9.*|>=5.12.5,<5.13.0a0|>=5.12.9,<5.13.0a0|>=5.9.7,<5.10.0a0|>=5.6.2,<5.7.0a0|>=5.9.6,<5.10.0a0|>=5.9.4,<5.10.0a0']

Package pymatgen conflicts for: pymatgen=2020.12.31 matminer=0.7.3 -> pymatgen[version='>=2019.10.2']

Package tomlkit conflicts for: jupyterlab -> jupyter-packaging[version='>=0.7,<1'] -> tomlkit pylint -> tomlkit[version='>=0.10.1']

Package jupyter_core conflicts for: jupyterlab -> jupyter_core jupyterlab -> jupyter_server[version='>=1.16,<2'] -> jupyter_core[version='>=4.4.0|>=4.6.0|>=4.7|>=4.7.0|>=4.6.1']

Package openblas conflicts for: pyg=2.0.1 -> numpy -> openblas[version='0.2.20|0.2.20.*|>=0.2.20,<0.2.21.0a0|>=0.3.3,<0.3.4.0a0'] ase=3.22 -> numpy -> openblas[version='0.2.20|0.2.20.*|>=0.2.20,<0.2.21.0a0|>=0.3.3,<0.3.4.0a0'] seaborn -> numpy[version='>=1.13.3'] -> openblas[version='0.2.20|0.2.20.*|>=0.2.20,<0.2.21.0a0|>=0.3.3,<0.3.4.0a0'] nglview -> numpy -> openblas[version='0.2.20|0.2.20.*|>=0.2.20,<0.2.21.0a0|>=0.3.3,<0.3.4.0a0'] matplotlib -> numpy[version='>=1.14.6,<2.0a0'] -> openblas[version='0.2.20|0.2.20.*|>=0.2.20,<0.2.21.0a0|>=0.3.3,<0.3.4.0a0']

Package pyreadline conflicts for: ipywidgets -> ipython[version='>=4.0.0'] -> pyreadline jupyterlab -> ipython -> pyreadline pylint -> dill[version='>=0.2'] -> pyreadline[version='>=1.7.1']

Package pyparsing conflicts for: pymatgen=2020.12.31 -> matplotlib-base[version='>=1.5'] -> pyparsing[version='>=2.0.3,!=2.0.4,!=2.1.2,!=2.1.6|>=2.2.1'] jupyterlab -> packaging -> pyparsing[version='<3,>=2.0.2|>=2.0.2,!=3.0.5|>=2.0.2,<3|>=2.0.2'] ase=3.22 -> matplotlib-base -> pyparsing[version='>=2.0.3,!=2.0.4,!=2.1.2,!=2.1.6|>=2.2.1'] pip -> packaging -> pyparsing[version='<3,>=2.0.2|>=2.0.2,!=3.0.5|>=2.0.2,<3|>=2.0.2'] pyg=2.0.1 -> pyparsing pytorch-lightning=1.3.8 -> packaging -> pyparsing[version='<3,>=2.0.2|>=2.0.2,!=3.0.5|>=2.0.2,<3|>=2.0.2'] matplotlib -> matplotlib-base[version='>=3.5.2,<3.5.3.0a0'] -> pyparsing[version='>=2.0.3,!=2.0.4,!=2.1.2,!=2.1.6|>=2.2.1'] matplotlib -> pyparsing matminer=0.7.3 -> httplib2[version='>=0.10.3'] -> pyparsing[version='>=2.4.2,<3|>=2.4.2,<4'] seaborn -> matplotlib-base[version='>=2.1.2'] -> pyparsing[version='>=2.0.3,!=2.0.4,!=2.1.2,!=2.1.6|>=2.2.1']

Package vs2008_runtime conflicts for: seaborn -> python -> vs2008_runtime matplotlib -> python[version='>=2.7,<2.8.0a0'] -> vs2008_runtime[version='>=9.0.30729.1,<10.0a0'] pip -> python -> vs2008_runtime ipywidgets -> python -> vs2008_runtime pylint -> python[version='>=2.7,<2.8.0a0'] -> vs2008_runtime autopep8 -> python -> vs2008_runtime pytorch=1.8.1 -> ninja -> vs2008_runtime nglview -> python -> vs2008_runtime tqdm -> python[version='>=2.7'] -> vs2008_runtime jupyterlab -> python[version='>=2.7,<2.8.0a0'] -> vs2008_runtime

Package kiwisolver conflicts for: matplotlib -> kiwisolver matplotlib -> matplotlib-base[version='>=3.5.2,<3.5.3.0a0'] -> kiwisolver[version='>=1.0.1']

Package typing-extensions conflicts for: pylint -> typing-extensions[version='>=3.10.0'] matminer=0.7.3 -> pymatgen[version='>=2019.10.2'] -> typing-extensions[version='>=3.7.4.3'] matplotlib -> kiwisolver -> typing-extensions pytorch-lightning=1.3.8 -> pytorch[version='>=1.4'] -> typing-extensions pylint -> astroid[version='>=2.11.6,<2.12.0'] -> typing-extensions[version='>=3.10|>=3.7.4']

Package scipy conflicts for: pymatgen=2020.12.31 -> scipy[version='>=1.4.1'] seaborn -> statsmodels[version='>=0.8.0'] -> scipy[version='>=0.14|>=1.2|>=1.3'] ase=3.22 -> scipy pymatgen=2020.12.31 -> ase[version='>=3.3'] -> scipy[version='>=1.5,!=1.6.1|>=1.8'] matminer=0.7.3 -> ase[version='>=3.14.1'] -> scipy[version='>=0.19.1|>=1.0.1|>=1.4.1|>=1.5.0|>=1.1.0'] seaborn -> scipy[version='>=0.15.2|>=1.0.1|>=1.0'] pyg=2.0.1 -> networkx[version='>=2.4'] -> scipy[version='>=0.19.1|>=1.1.0|>=1.5,!=1.6.1|>=1.8']

Package importlib_metadata conflicts for: matminer=0.7.3 -> pint[version='>=0.8.1'] -> importlib_metadata jupyterlab -> jupyterlab_server[version='>=2.10,<3'] -> importlib_metadata[version='>=3.6']

Package matplotlib conflicts for: pymatgen=2020.12.31 -> ase[version='>=3.3'] -> matplotlib[version='>=3.3'] matplotlib seaborn -> matplotlib[version='>=1.4.3|>=2.1.2|>=2.2'] matminer=0.7.3 -> ase[version='>=3.14.1'] -> matplotlib[version='>=1.5']

Package ipywidgets conflicts for: nglview -> ipywidgets[version='7|>=7|>=5.2.2|>=5.2.2,<6'] ipywidgets

Package yaml conflicts for: pyg=2.0.1 -> pyyaml -> yaml[version='>=0.1.7,<0.2.0a0|>=0.2.2,<0.3.0a0|>=0.2.5,<0.3.0a0'] pytorch-lightning=1.3.8 -> pyyaml[version='>=5.1,<=5.4.1'] -> yaml[version='>=0.1.7,<0.2.0a0|>=0.2.2,<0.3.0a0|>=0.2.5,<0.3.0a0']

Package ucrt conflicts for: python=3.8 -> vs2015_runtime[version='>=14.16.27033'] -> ucrt[version='>=10.0.20348.0'] matplotlib -> vs2015_runtime[version='>=14.16.27012,<15.0a0'] -> ucrt[version='>=10.0.20348.0'] pymatgen=2020.12.31 -> vs2015_runtime[version='>=14.16.27012'] -> ucrt[version='>=10.0.20348.0']

Package threadpoolctl conflicts for: pyg=2.0.1 -> scikit-learn -> threadpoolctl[version='>=2.0.0'] matminer=0.7.3 -> scikit-learn[version='>=0.21.3'] -> threadpoolctl[version='>=2.0.0']

Package tbb conflicts for: pytorch=1.8.1 -> mkl[version='>=2018'] -> tbb=2021 pymatgen=2020.12.31 -> vtk[version='>=6.0.0'] -> tbb[version='<2021.0.0a0|>=2020.2|>=2020.2,<2021.0.0a0|>=2021.4.0|>=2021.5.0|>=2019.9|>=2019.7|>=2019.6|>=2019.5|>=2019.4|>=2019.3|>=2019.0|>=2019.1']

Package future conflicts for: pytorch-lightning=1.3.8 -> future matminer=0.7.3 -> future[version='>=0.16.0'] pymatgen=2020.12.31 -> uncertainties -> future

Package werkzeug conflicts for: pytorch-lightning=1.3.8 -> tensorboard[version='>=2.2.0,!=2.5.0'] -> werkzeug[version='>=0.11.15|>=1.0.1'] ase=3.22 -> flask -> werkzeug[version='>=0.14|>=0.15|>=0.15,<2.0|>=2.0|>=0.7|>=0.7,<1.0.0']

Package pytorch-mutex conflicts for: pyg=2.0.1 -> cpuonly -> pytorch-mutex==1.0=cpu cpuonly -> pytorch-mutex==1.0=cpu pytorch-lightning=1.3.8 -> pytorch[version='>=1.4'] -> pytorch-mutex==1.0[build='cpu|cuda']

Package pytorch conflicts for: pytorch-lightning=1.3.8 -> torchmetrics[version='>=0.2.0'] -> pytorch[version='>=1.3|>=1.3.1'] pytorch-lightning=1.3.8 -> pytorch[version='>=1.4'] pytorch=1.8.1

Package notebook conflicts for: jupyterlab -> nbclassic[version='>=0.2,<1'] -> notebook[version='<7|>=4.2.0'] jupyterlab -> notebook[version='>=4.2|>=4.3|>=4.3.1']

Package libpng conflicts for: matplotlib -> libpng[version='>=1.6.23,<1.7|>=1.6.37,<1.7.0a0|>=1.6.36,<1.7.0a0|>=1.6.35,<1.7.0a0|>=1.6.34,<1.7.0a0|>=1.6.32,<1.7.0a0'] matplotlib -> freetype=2.6 -> libpng[version='1.6.*|>=1.6.21,<1.7|>=1.6.32,<1.6.35']

Package numpy conflicts for: seaborn -> numpy[version='>=1.13.3|>=1.9.3|>=1.15'] seaborn -> statsmodels[version='>=0.8.0'] -> numpy[version='1.10.|1.11.|1.12.|1.13.|>=1.11.|>=1.11.3,<2.0a0|>=1.11|>=1.14.6,<2.0a0|>=1.15.4,<2.0a0|>=1.16.5,<2.0a0|>=1.16.6,<2.0a0|>=1.18.5,<2.0a0|>=1.19.5,<2.0a0|>=1.21.5,<2.0a0|>=1.21.4,<2.0a0|>=1.19.2,<2.0a0|>=1.18.1,<2.0a0|>=1.17.5,<2.0a0|>=1.21.2,<2.0a0|>=1.17.0,<2.0a0|>=1.19.1,<2.0a0|>=1.17|>=1.21.6,<2.0a0|>=1.19.4,<2.0a0|>=1.12.1,<2.0a0|>=1.9.|>=1.20.3,<2.0a0|>=1.20.2,<2.0a0|>=1.13.3,<2.0a0|>=1.15.1,<2.0a0|>=1.9|>=1.8|>=1.7|>=1.11.3,<1.12.0a0|>=1.4.0']The following specifications were found to be incompatible with your system:

feature:/win-64::__win==0=0

feature:|@/win-64::__win==0=0

ipywidgets -> ipykernel[version='>=4.5.1'] -> __win

nglview -> ipykernel -> __win

Your installed version is: 0`
opened by cseeg 0