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requirements-dev.lock
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# 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
-e file:.
anyio==4.3.0
# via httpx
# via jupyter-server
argon2-cffi==23.1.0
# via jupyter-server
argon2-cffi-bindings==21.2.0
# via argon2-cffi
arrow==1.3.0
# via isoduration
astor==0.8.1
# via formulaic
asttokens==2.4.1
# via stack-data
async-lru==2.0.4
# via jupyterlab
attrs==23.2.0
# via jsonschema
# via referencing
babel==2.14.0
# via jupyterlab-server
beautifulsoup4==4.12.3
# via nbconvert
bids-validator==1.14.1
# via pybids
bleach==6.1.0
# via nbconvert
certifi==2024.2.2
# via httpcore
# via httpx
# via requests
cffi==1.16.0
# via argon2-cffi-bindings
charset-normalizer==3.3.2
# via requests
click==8.1.7
# via pybids
colorcet==3.1.0
# via opioids-analysis
comm==0.2.1
# via ipykernel
contourpy==1.2.0
# via matplotlib
cycler==0.12.1
# via matplotlib
debugpy==1.8.1
# via ipykernel
decorator==5.1.1
# via ipython
defusedxml==0.7.1
# via nbconvert
# via odfpy
docopt==0.6.2
# via num2words
et-xmlfile==1.1.0
# via openpyxl
executing==2.0.1
# via stack-data
fastjsonschema==2.19.1
# via nbformat
fonttools==4.49.0
# via matplotlib
formulaic==0.5.2
# via pybids
fqdn==1.5.1
# via jsonschema
greenlet==3.0.3
# via sqlalchemy
h11==0.14.0
# via httpcore
h5py==3.10.0
# via opioids-analysis
httpcore==1.0.4
# via httpx
httpx==0.27.0
# via jupyterlab
idna==3.6
# via anyio
# via httpx
# via jsonschema
# via requests
interface-meta==1.3.0
# via formulaic
ipykernel==6.29.3
# via jupyterlab
# via opioids-analysis
ipython==8.22.2
# via ipykernel
isoduration==20.11.0
# via jsonschema
jedi==0.19.1
# via ipython
jinja2==3.1.3
# via jupyter-server
# via jupyterlab
# via jupyterlab-server
# via nbconvert
joblib==1.3.2
# via nilearn
# via opioids-analysis
# via scikit-learn
json5==0.9.22
# via jupyterlab-server
jsonpointer==2.4
# via jsonschema
jsonschema==4.21.1
# via jupyter-events
# via jupyterlab-server
# via nbformat
jsonschema-specifications==2023.12.1
# via jsonschema
jupyter-client==8.6.0
# via ipykernel
# via jupyter-server
# via nbclient
jupyter-core==5.7.1
# via ipykernel
# via jupyter-client
# via jupyter-server
# via jupyterlab
# via nbclient
# via nbconvert
# via nbformat
jupyter-events==0.9.0
# via jupyter-server
jupyter-lsp==2.2.4
# via jupyterlab
jupyter-server==2.13.0
# via jupyter-lsp
# via jupyterlab
# via jupyterlab-server
# via notebook-shim
jupyter-server-terminals==0.5.2
# via jupyter-server
jupyterlab==4.1.4
# via opioids-analysis
jupyterlab-pygments==0.3.0
# via nbconvert
jupyterlab-server==2.25.3
# via jupyterlab
kiwisolver==1.4.5
# via matplotlib
lxml==5.1.0
# via nilearn
markupsafe==2.1.5
# via jinja2
# via nbconvert
matplotlib==3.8.3
# via nitime
# via opioids-analysis
matplotlib-inline==0.1.6
# via ipykernel
# via ipython
mistune==3.0.2
# via nbconvert
mypy==1.8.0
# via opioids-analysis
mypy-extensions==1.0.0
# via mypy
nbclient==0.9.0
# via nbconvert
nbconvert==7.16.2
# via jupyter-server
nbformat==5.9.2
# via jupyter-server
# via nbclient
# via nbconvert
nest-asyncio==1.6.0
# via ipykernel
networkx==3.2.1
# via opioids-analysis
nibabel==5.2.1
# via nilearn
# via opioids-analysis
# via pybids
nilearn==0.10.1
# via opioids-analysis
nitime==0.10.2
# via opioids-analysis
notebook-shim==0.2.4
# via jupyterlab
num2words==0.5.13
# via pybids
numpy==1.26.4
# via contourpy
# via formulaic
# via h5py
# via matplotlib
# via nibabel
# via nilearn
# via nitime
# via opioids-analysis
# via patsy
# via pybids
# via scikit-learn
# via scipy
# via statsmodels
odfpy==1.4.1
# via pandas
openpyxl==3.1.2
# via pandas
overrides==7.7.0
# via jupyter-server
packaging==23.2
# via ipykernel
# via jupyter-server
# via jupyterlab
# via jupyterlab-server
# via matplotlib
# via nbconvert
# via nibabel
# via nilearn
# via statsmodels
pandas==2.2.1
# via formulaic
# via nilearn
# via opioids-analysis
# via pybids
# via statsmodels
pandocfilters==1.5.1
# via nbconvert
parso==0.8.3
# via jedi
patsy==0.5.6
# via statsmodels
pexpect==4.9.0
# via ipython
pillow==10.2.0
# via matplotlib
platformdirs==4.2.0
# via jupyter-core
prometheus-client==0.20.0
# via jupyter-server
prompt-toolkit==3.0.43
# via ipython
psutil==5.9.8
# via ipykernel
ptyprocess==0.7.0
# via pexpect
# via terminado
pure-eval==0.2.2
# via stack-data
pybids==0.16.4
# via opioids-analysis
pycparser==2.21
# via cffi
pygments==2.17.2
# via ipython
# via nbconvert
pyparsing==3.1.2
# via matplotlib
python-calamine==0.2.0
# via pandas
python-dateutil==2.9.0.post0
# via arrow
# via jupyter-client
# via matplotlib
# via pandas
python-json-logger==2.0.7
# via jupyter-events
pytz==2024.1
# via pandas
pyxlsb==1.0.10
# via pandas
pyyaml==6.0.1
# via jupyter-events
pyzmq==25.1.2
# via ipykernel
# via jupyter-client
# via jupyter-server
referencing==0.33.0
# via jsonschema
# via jsonschema-specifications
# via jupyter-events
requests==2.31.0
# via jupyterlab-server
# via nilearn
rfc3339-validator==0.1.4
# via jsonschema
# via jupyter-events
rfc3986-validator==0.1.1
# via jsonschema
# via jupyter-events
rpds-py==0.18.0
# via jsonschema
# via referencing
ruff==0.3.1
# via opioids-analysis
scikit-learn==1.4.1.post1
# via nilearn
scipy==1.12.0
# via formulaic
# via nilearn
# via nitime
# via opioids-analysis
# via pybids
# via scikit-learn
# via statsmodels
send2trash==1.8.2
# via jupyter-server
six==1.16.0
# via asttokens
# via bleach
# via patsy
# via python-dateutil
# via rfc3339-validator
sniffio==1.3.1
# via anyio
# via httpx
soupsieve==2.5
# via beautifulsoup4
sqlalchemy==2.0.28
# via pybids
stack-data==0.6.3
# via ipython
statsmodels==0.14.1
# via opioids-analysis
terminado==0.18.0
# via jupyter-server
# via jupyter-server-terminals
threadpoolctl==3.3.0
# via scikit-learn
tinycss2==1.2.1
# via nbconvert
tornado==6.4
# via ipykernel
# via jupyter-client
# via jupyter-server
# via jupyterlab
# via terminado
tqdm==4.66.2
# via opioids-analysis
traitlets==5.14.1
# via comm
# via ipykernel
# via ipython
# via jupyter-client
# via jupyter-core
# via jupyter-events
# via jupyter-server
# via jupyterlab
# via matplotlib-inline
# via nbclient
# via nbconvert
# via nbformat
types-python-dateutil==2.8.19.20240106
# via arrow
typing-extensions==4.10.0
# via formulaic
# via mypy
# via sqlalchemy
tzdata==2024.1
# via pandas
uri-template==1.3.0
# via jsonschema
urllib3==2.2.1
# via requests
wcwidth==0.2.13
# via prompt-toolkit
webcolors==1.13
# via jsonschema
webencodings==0.5.1
# via bleach
# via tinycss2
websocket-client==1.7.0
# via jupyter-server
wrapt==1.16.0
# via formulaic
xlrd==2.0.1
# via pandas
xlsxwriter==3.2.0
# via pandas