requirements-dev.lock

# generated by rye
# use `rye lock` or `rye sync` to update this lockfile
#
# last locked with the following flags:
#   pre: false
#   features: []
#   all-features: false
#   with-sources: false
#   generate-hashes: false
#   universal: false

-e file:.
anndata==0.10.9
    # via doubletdetection
    # via parafac2
    # via pf2
    # via scanpy
annoy==1.17.3
    # via pacmap
array-api-compat==1.8
    # via anndata
asttokens==2.4.1
    # via stack-data
certifi==2024.8.30
    # via requests
charset-normalizer==3.3.2
    # via requests
click==8.1.7
    # via dask
cloudpickle==3.0.0
    # via dask
colorcet==3.1.0
    # via datashader
comm==0.2.2
    # via ipywidgets
contourpy==1.3.0
    # via matplotlib
coverage==7.6.1
    # via pytest-cov
cupy-cuda12x==13.3.0
    # via parafac2
cycler==0.12.1
    # via matplotlib
dask==2024.9.0
    # via dask-expr
    # via datashader
    # via pf2
dask-expr==1.1.14
    # via dask
datashader==0.16.3
    # via pf2
decorator==5.1.1
    # via ipython
doubletdetection==4.2
    # via pf2
executing==2.1.0
    # via stack-data
fastrlock==0.8.2
    # via cupy-cuda12x
fonttools==4.53.1
    # via matplotlib
fsspec==2024.9.0
    # via dask
h5py==3.11.0
    # via anndata
    # via scanpy
idna==3.8
    # via requests
igraph==0.11.6
    # via leidenalg
    # via louvain
importlib-metadata==8.5.0
    # via dask
iniconfig==2.0.0
    # via pytest
ipython==8.27.0
    # via ipywidgets
ipywidgets==8.1.5
    # via doubletdetection
jedi==0.19.1
    # via ipython
joblib==1.4.2
    # via pynndescent
    # via scanpy
    # via scikit-learn
jupyterlab-widgets==3.0.13
    # via ipywidgets
kiwisolver==1.4.7
    # via matplotlib
legacy-api-wrap==1.4
    # via scanpy
leidenalg==0.10.2
    # via doubletdetection
    # via phenograph
llvmlite==0.43.0
    # via numba
    # via pynndescent
locket==1.0.0
    # via partd
louvain==0.8.2
    # via doubletdetection
matplotlib==3.9.2
    # via doubletdetection
    # via pf2
    # via scanpy
    # via seaborn
    # via tlviz
matplotlib-inline==0.1.7
    # via ipython
multipledispatch==1.0.0
    # via datashader
natsort==8.4.0
    # via anndata
    # via scanpy
networkx==3.3
    # via pf2
    # via scanpy
nodeenv==1.9.1
    # via pyright
numba==0.60.0
    # via datashader
    # via pacmap
    # via pynndescent
    # via scanpy
    # via umap-learn
numpy==1.26.4
    # via anndata
    # via contourpy
    # via cupy-cuda12x
    # via dask
    # via datashader
    # via doubletdetection
    # via h5py
    # via matplotlib
    # via numba
    # via pacmap
    # via pandas
    # via parafac2
    # via patsy
    # via pf2
    # via phenograph
    # via pyarrow
    # via scanpy
    # via scikit-learn
    # via scipy
    # via seaborn
    # via statsmodels
    # via tensorly
    # via tlviz
    # via umap-learn
    # via xarray
packaging==24.1
    # via anndata
    # via dask
    # via datashader
    # via matplotlib
    # via pytest
    # via scanpy
    # via statsmodels
    # via xarray
pacmap==0.7.3
    # via parafac2
    # via pf2
pandas==2.2.2
    # via anndata
    # via dask
    # via dask-expr
    # via datashader
    # via doubletdetection
    # via pf2
    # via scanpy
    # via seaborn
    # via statsmodels
    # via tlviz
    # via xarray
parafac2 @ git+https://github.com/meyer-lab/parafac2.git@793f8ad06791ffcc698105d80941774741722574
    # via pf2
param==2.1.1
    # via datashader
    # via pyct
parso==0.8.4
    # via jedi
partd==1.4.2
    # via dask
patsy==0.5.6
    # via scanpy
    # via statsmodels
pexpect==4.9.0
    # via ipython
phenograph==1.5.7
    # via doubletdetection
pillow==10.4.0
    # via datashader
    # via matplotlib
pluggy==1.5.0
    # via pytest
prompt-toolkit==3.0.47
    # via ipython
psutil==6.0.0
    # via phenograph
ptyprocess==0.7.0
    # via pexpect
pure-eval==0.2.3
    # via stack-data
pyarrow==17.0.0
    # via dask-expr
pyct==0.5.0
    # via datashader
pygments==2.18.0
    # via ipython
pynndescent==0.5.13
    # via scanpy
    # via umap-learn
pyparsing==3.1.4
    # via matplotlib
pyright==1.1.380
pytest==8.3.3
    # via pytest-cov
pytest-cov==5.0.0
python-dateutil==2.9.0.post0
    # via matplotlib
    # via pandas
pytz==2024.2
    # via pandas
pyyaml==6.0.2
    # via dask
requests==2.32.3
    # via datashader
    # via tlviz
scanpy==1.10.2
    # via doubletdetection
    # via pf2
scikit-learn==1.5.2
    # via pacmap
    # via parafac2
    # via pf2
    # via phenograph
    # via pynndescent
    # via scanpy
    # via umap-learn
scipy==1.14.1
    # via anndata
    # via datashader
    # via doubletdetection
    # via parafac2
    # via phenograph
    # via pynndescent
    # via scanpy
    # via scikit-learn
    # via statsmodels
    # via tensorly
    # via tlviz
    # via umap-learn
seaborn==0.13.2
    # via scanpy
session-info==1.0.0
    # via scanpy
setuptools==74.1.2
    # via pf2
    # via phenograph
six==1.16.0
    # via asttokens
    # via patsy
    # via python-dateutil
stack-data==0.6.3
    # via ipython
statsmodels==0.14.2
    # via scanpy
    # via tlviz
stdlib-list==0.10.0
    # via session-info
tensorly==0.8.1
    # via parafac2
    # via pf2
texttable==1.7.0
    # via igraph
threadpoolctl==3.5.0
    # via scikit-learn
tlviz==0.1.1
    # via pf2
toolz==0.12.1
    # via dask
    # via datashader
    # via partd
tqdm==4.66.5
    # via doubletdetection
    # via parafac2
    # via scanpy
    # via umap-learn
traitlets==5.14.3
    # via comm
    # via ipython
    # via ipywidgets
    # via matplotlib-inline
typing-extensions==4.12.2
    # via ipython
tzdata==2024.1
    # via pandas
umap-learn==0.5.6
    # via scanpy
urllib3==2.2.3
    # via requests
wcwidth==0.2.13
    # via prompt-toolkit
widgetsnbextension==4.0.13
    # via ipywidgets
xarray==2024.9.0
    # via datashader
    # via tlviz
zipp==3.20.2
    # via importlib-metadata