requirements.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 scanpy
    # via sccp
    # via scib
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
cupy-cuda12x==13.3.0
    # via parafac2
cycler==0.12.1
    # via matplotlib
dask==2024.8.2
    # via dask-expr
    # via datashader
    # via sccp
dask-expr==1.1.13
    # via dask
datashader==0.16.3
    # via sccp
decorator==5.1.1
    # via ipython
deprecated==1.2.14
    # via scib
doubletdetection==4.2
    # via sccp
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
gseapy==1.1.3
    # via sccp
h5netcdf==1.3.0
    # via sccp
h5py==3.11.0
    # via anndata
    # via h5netcdf
    # via scanpy
    # via scib
idna==3.8
    # via requests
igraph==0.11.6
    # via leidenalg
    # via louvain
    # via scib
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
    # via sccp
    # via scib
llvmlite==0.43.0
    # via numba
    # via pynndescent
    # via scib
locket==1.0.0
    # via partd
louvain==0.8.2
    # via doubletdetection
matplotlib==3.9.2
    # via doubletdetection
    # via gseapy
    # via scanpy
    # via scib
    # 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 scanpy
numba==0.60.0
    # via datashader
    # via pacmap
    # via pynndescent
    # via scanpy
    # via scib
    # via umap-learn
numpy==2.0.2
    # via anndata
    # via contourpy
    # via cupy-cuda12x
    # via dask
    # via datashader
    # via doubletdetection
    # via gseapy
    # via h5py
    # via matplotlib
    # via numba
    # via pacmap
    # via pandas
    # via parafac2
    # via patsy
    # via phenograph
    # via pyarrow
    # via scanpy
    # via sccp
    # via scib
    # via scikit-learn
    # via scikit-misc
    # 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 h5netcdf
    # via matplotlib
    # via scanpy
    # via statsmodels
    # via xarray
pacmap==0.7.3
    # via parafac2
    # via sccp
pandas==2.2.2
    # via anndata
    # via dask
    # via dask-expr
    # via datashader
    # via doubletdetection
    # via gseapy
    # via scanpy
    # via sccp
    # via scib
    # via seaborn
    # via statsmodels
    # via tlviz
    # via xarray
parafac2 @ git+https://github.com/meyer-lab/parafac2.git@6600c677a77d0f242668babf39559cf7953ff534
    # via sccp
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
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
pydot==3.0.1
    # via scib
pygments==2.18.0
    # via ipython
pynndescent==0.5.13
    # via scanpy
    # via umap-learn
pyparsing==3.1.4
    # via matplotlib
    # via pydot
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 gseapy
    # via tlviz
scanpy==1.10.4
    # via doubletdetection
    # via sccp
    # via scib
scib==1.1.5
    # via sccp
scikit-learn==1.6.0
    # via pacmap
    # via parafac2
    # via phenograph
    # via pynndescent
    # via scanpy
    # via sccp
    # via scib
    # via umap-learn
scikit-misc==0.5.1
    # via scib
scipy==1.14.1
    # via anndata
    # via datashader
    # via doubletdetection
    # via gseapy
    # via parafac2
    # via phenograph
    # via pynndescent
    # via scanpy
    # via sccp
    # via scib
    # via scikit-learn
    # via statsmodels
    # via tensorly
    # via tlviz
    # via umap-learn
seaborn==0.13.2
    # via scanpy
    # via sccp
    # via scib
session-info==1.0.0
    # via scanpy
setuptools==74.1.2
    # 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 sccp
    # via tlviz
stdlib-list==0.10.0
    # via session-info
tensorly==0.8.1
    # via parafac2
    # via sccp
texttable==1.7.0
    # via igraph
threadpoolctl==3.5.0
    # via scikit-learn
tlviz==0.1.1
    # via parafac2
    # via sccp
toolz==0.12.1
    # via dask
    # via datashader
    # via partd
tqdm==4.66.5
    # via doubletdetection
    # via parafac2
    # via scanpy
    # via sccp
    # via umap-learn
traitlets==5.14.3
    # via comm
    # via ipython
    # via ipywidgets
    # via matplotlib-inline
tzdata==2024.1
    # via pandas
umap-learn==0.5.6
    # via scanpy
    # via scib
urllib3==2.2.3
    # via requests
wcwidth==0.2.13
    # via prompt-toolkit
widgetsnbextension==4.0.13
    # via ipywidgets
wrapt==1.16.0
    # via deprecated
xarray==2024.9.0
    # via datashader
    # via tlviz