# This file was autogenerated by uv via the following command:
#    uv pip compile pyproject.toml -o requirements.txt
ase==3.26.0
    # via pmsco (pyproject.toml)
asttokens==3.0.1
    # via stack-data
attrs==25.4.0
    # via
    #   jsonschema
    #   referencing
comm==0.2.3
    # via ipykernel
contourpy==1.3.3
    # via matplotlib
cycler==0.12.1
    # via matplotlib
debugpy==1.8.19
    # via ipykernel
decorator==5.2.1
    # via ipython
executing==2.2.1
    # via stack-data
fasteners==0.20
    # via pmsco (pyproject.toml)
fonttools==4.61.1
    # via matplotlib
future==1.0.0
    # via pmsco (pyproject.toml)
greenlet==3.3.0
    # via sqlalchemy
h5py==3.15.1
    # via pmsco (pyproject.toml)
ipykernel==7.1.0
    # via pmsco (pyproject.toml)
ipython==9.8.0
    # via
    #   pmsco (pyproject.toml)
    #   ipykernel
ipython-pygments-lexers==1.1.1
    # via ipython
jedi==0.19.2
    # via ipython
joblib==1.5.3
    # via scikit-learn
jsonschema==4.25.1
    # via pmsco (pyproject.toml)
jsonschema-specifications==2025.9.1
    # via jsonschema
jupyter-client==8.7.0
    # via ipykernel
jupyter-core==5.9.1
    # via
    #   ipykernel
    #   jupyter-client
kiwisolver==1.4.9
    # via matplotlib
matplotlib==3.8.4
    # via
    #   pmsco (pyproject.toml)
    #   ase
matplotlib-inline==0.2.1
    # via
    #   ipykernel
    #   ipython
mpi4py==4.1.1
    # via pmsco (pyproject.toml)
nest-asyncio==1.6.0
    # via ipykernel
networkx==3.6.1
    # via pmsco (pyproject.toml)
numpy==1.26.4
    # via
    #   pmsco (pyproject.toml)
    #   ase
    #   contourpy
    #   h5py
    #   loess
    #   matplotlib
    #   pandas
    #   patsy
    #   periodictable
    #   scikit-learn
    #   scipy
    #   statsmodels
packaging==25.0
    # via
    #   ipykernel
    #   matplotlib
    #   statsmodels
pandas==2.3.3
    # via statsmodels
parso==0.8.5
    # via jedi
patsy==1.0.2
    # via statsmodels
periodictable==2.0.2
    # via pmsco (pyproject.toml)
pexpect==4.9.0
    # via ipython
pillow==12.0.0
    # via matplotlib
platformdirs==4.5.1
    # via jupyter-core
prompt-toolkit==3.0.52
    # via ipython
psutil==7.1.3
    # via ipykernel
ptyprocess==0.7.0
    # via pexpect
pure-eval==0.2.3
    # via stack-data
pygments==2.19.2
    # via
    #   ipython
    #   ipython-pygments-lexers
pyparsing==3.2.5
    # via
    #   matplotlib
    #   periodictable
python-dateutil==2.9.0.post0
    # via
    #   jupyter-client
    #   matplotlib
    #   pandas
pytz==2025.2
    # via pandas
pyzmq==27.1.0
    # via
    #   ipykernel
    #   jupyter-client
referencing==0.37.0
    # via
    #   jsonschema
    #   jsonschema-specifications
rpds-py==0.30.0
    # via
    #   jsonschema
    #   referencing
scikit-learn==1.8.0
    # via pmsco (pyproject.toml)
scipy==1.12.0
    # via
    #   pmsco (pyproject.toml)
    #   ase
    #   scikit-learn
    #   statsmodels
six==1.17.0
    # via python-dateutil
sqlalchemy==1.4.0
    # via pmsco (pyproject.toml)
stack-data==0.6.3
    # via ipython
statsmodels==0.14.6
    # via pmsco (pyproject.toml)
threadpoolctl==3.6.0
    # via scikit-learn
tornado==6.5.4
    # via
    #   ipykernel
    #   jupyter-client
traitlets==5.14.3
    # via
    #   ipykernel
    #   ipython
    #   jupyter-client
    #   jupyter-core
    #   matplotlib-inline
typing-extensions==4.15.0
    # via
    #   ipython
    #   referencing
tzdata==2025.3
    # via pandas
wcwidth==0.2.14
    # via prompt-toolkit