# This file was autogenerated by uv via the following command:
#    uv pip compile --extra test --python-platform linux -o requirements/test-python3.12.txt --python-version 3.12 pyproject.toml
annotated-types==0.7.0
    # via pydantic
certifi==2025.1.31
    # via requests
charset-normalizer==3.4.1
    # via requests
contourpy==1.3.1
    # via matplotlib
covdefaults==2.3.0
    # via numerical-optimization-of-aviation-decarbonization-scenarios (pyproject.toml)
coverage==7.6.12
    # via
    #   covdefaults
    #   pytest-cov
cycler==0.12.1
    # via matplotlib
diffrax==0.6.0
    # via numerical-optimization-of-aviation-decarbonization-scenarios (pyproject.toml)
dill==0.3.9
    # via openturns
docstring-inheritance==2.2.1
    # via gemseo
equinox==0.11.11
    # via
    #   diffrax
    #   interpax
    #   lineax
    #   optimistix
et-xmlfile==2.0.0
    # via openpyxl
execnet==2.1.1
    # via pytest-xdist
fastjsonschema==2.20.0
    # via gemseo
fonttools==4.56.0
    # via matplotlib
gemseo==6.0.0
    # via gemseo-jax
gemseo-jax==2.0.2
    # via numerical-optimization-of-aviation-decarbonization-scenarios (pyproject.toml)
genson==1.3.0
    # via gemseo
graphviz==0.20.3
    # via gemseo
h5py==3.11.0
    # via gemseo
idna==3.10
    # via requests
iniconfig==2.0.0
    # via pytest
interpax==0.3.5
    # via numerical-optimization-of-aviation-decarbonization-scenarios (pyproject.toml)
jax==0.4.38
    # via
    #   diffrax
    #   equinox
    #   gemseo-jax
    #   interpax
    #   lineax
    #   optimistix
jaxlib==0.4.38
    # via jax
jaxtyping==0.2.37
    # via
    #   diffrax
    #   equinox
    #   lineax
    #   optimistix
jinja2==3.1.4
    # via gemseo
joblib==1.4.2
    # via scikit-learn
kiwisolver==1.4.8
    # via matplotlib
lineax==0.0.7
    # via
    #   diffrax
    #   optimistix
markupsafe==3.0.2
    # via jinja2
matplotlib==3.9.2
    # via gemseo
ml-dtypes==0.5.1
    # via
    #   jax
    #   jaxlib
mpmath==1.3.0
    # via sympy
networkx==3.3
    # via gemseo
nlopt==2.7.1
    # via gemseo
numpy==1.26.4
    # via
    #   contourpy
    #   gemseo
    #   h5py
    #   interpax
    #   jax
    #   jaxlib
    #   matplotlib
    #   ml-dtypes
    #   nlopt
    #   pandas
    #   pydoe3
    #   pyxdsm
    #   scikit-learn
    #   scipy
openpyxl==3.1.5
    # via gemseo
openturns==1.23
    # via gemseo
opt-einsum==3.4.0
    # via jax
optimistix==0.0.10
    # via diffrax
packaging==24.1
    # via
    #   gemseo
    #   matplotlib
    #   plotly
    #   pytest
pandas==2.2.2
    # via gemseo
pillow==10.4.0
    # via
    #   gemseo
    #   matplotlib
plotly==5.24.0
    # via gemseo
pluggy==1.5.0
    # via pytest
psutil==6.1.1
    # via openturns
pydantic==2.9.1
    # via gemseo
pydantic-core==2.23.3
    # via pydantic
pydoe3==1.0.4
    # via gemseo
pyparsing==3.2.1
    # via matplotlib
pytest==8.3.4
    # via
    #   numerical-optimization-of-aviation-decarbonization-scenarios (pyproject.toml)
    #   pytest-cov
    #   pytest-xdist
pytest-cov==6.0.0
    # via numerical-optimization-of-aviation-decarbonization-scenarios (pyproject.toml)
pytest-xdist==3.6.1
    # via numerical-optimization-of-aviation-decarbonization-scenarios (pyproject.toml)
python-dateutil==2.9.0.post0
    # via
    #   matplotlib
    #   pandas
pytz==2025.1
    # via pandas
pyxdsm==2.3.0
    # via gemseo
requests==2.32.3
    # via gemseo
scikit-learn==1.5.2
    # via gemseo
scipy==1.14.1
    # via
    #   gemseo
    #   jax
    #   jaxlib
    #   pydoe3
    #   scikit-learn
six==1.17.0
    # via python-dateutil
strenum==0.4.15
    # via gemseo
sympy==1.13.2
    # via gemseo
tenacity==9.0.0
    # via plotly
threadpoolctl==3.5.0
    # via scikit-learn
tqdm==4.66.5
    # via gemseo
typeguard==2.13.3
    # via diffrax
typing-extensions==4.12.2
    # via
    #   diffrax
    #   equinox
    #   gemseo
    #   lineax
    #   optimistix
    #   pydantic
    #   pydantic-core
tzdata==2025.1
    # via pandas
urllib3==2.3.0
    # via requests
wadler-lindig==0.1.3
    # via jaxtyping
xdsmjs==2.0.0
    # via gemseo
xlrd==2.0.1
    # via numerical-optimization-of-aviation-decarbonization-scenarios (pyproject.toml)
xxhash==3.5.0
    # via gemseo
