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requirements.txt
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requirements.txt
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#
# This file is autogenerated by pip-compile with Python 3.11
# by the following command:
#
# bazel run //:requirements.update
#
anyio==3.6.2
# via jupyter-server
argon2-cffi==21.3.0
# via
# jupyter-server
# nbclassic
# notebook
argon2-cffi-bindings==21.2.0
# via argon2-cffi
asttokens==2.1.0
# via stack-data
attrs==22.1.0
# via
# fiona
# jsonschema
backcall==0.2.0
# via ipython
beautifulsoup4==4.11.1
# via nbconvert
bleach==5.0.1
# via nbconvert
certifi==2022.12.7
# via
# fiona
# pyproj
cffi==1.15.1
# via argon2-cffi-bindings
click==8.1.3
# via
# click-plugins
# cligj
# fiona
click-plugins==1.1.1
# via fiona
cligj==0.7.2
# via fiona
contourpy==1.0.6
# via matplotlib
cycler==0.11.0
# via matplotlib
debugpy==1.6.3
# via ipykernel
decorator==5.1.1
# via ipython
defusedxml==0.7.1
# via nbconvert
entrypoints==0.4
# via jupyter-client
executing==1.2.0
# via stack-data
fastjsonschema==2.16.2
# via nbformat
fiona==1.9.3
# via geopandas
fonttools==4.38.0
# via matplotlib
geopandas==0.12.2
# via -r requirements.in
idna==3.4
# via anyio
ipykernel==6.17.1
# via
# nbclassic
# notebook
ipython==8.6.0
# via ipykernel
ipython-genutils==0.2.0
# via
# nbclassic
# notebook
jedi==0.18.2
# via ipython
jinja2==3.1.2
# via
# jupyter-server
# nbclassic
# nbconvert
# notebook
jsonschema==4.17.1
# via nbformat
jupyter-client==7.4.7
# via
# ipykernel
# jupyter-server
# nbclassic
# nbclient
# notebook
jupyter-core==5.0.0
# via
# jupyter-client
# jupyter-server
# nbclassic
# nbconvert
# nbformat
# notebook
jupyter-server==1.23.3
# via
# nbclassic
# notebook-shim
jupyterlab-pygments==0.2.2
# via nbconvert
kiwisolver==1.4.4
# via matplotlib
markupsafe==2.1.1
# via
# jinja2
# nbconvert
matplotlib==3.7.0rc1
# via
# -r requirements.in
# scikit-spatial
matplotlib-inline==0.1.6
# via
# ipykernel
# ipython
mistune==2.0.4
# via nbconvert
munch==2.5.0
# via fiona
nbclassic==0.4.8
# via notebook
nbclient==0.7.0
# via nbconvert
nbconvert==7.2.5
# via
# jupyter-server
# nbclassic
# notebook
nbformat==5.7.0
# via
# jupyter-server
# nbclassic
# nbclient
# nbconvert
# notebook
nest-asyncio==1.5.6
# via
# ipykernel
# jupyter-client
# nbclassic
# nbclient
# notebook
networkx==3.1
# via -r requirements.in
notebook==6.5.2
# via -r requirements.in
notebook-shim==0.2.2
# via nbclassic
numpy==1.23.5
# via
# contourpy
# matplotlib
# opencv-python
# pandas
# scikit-spatial
# scipy
# shapely
opencv-python==4.10.0.84
# via -r requirements.in
packaging==21.3
# via
# geopandas
# ipykernel
# jupyter-server
# matplotlib
# nbconvert
pandas==2.0.0
# via geopandas
pandocfilters==1.5.0
# via nbconvert
parso==0.8.3
# via jedi
pexpect==4.8.0
# via ipython
pickleshare==0.7.5
# via ipython
pillow==11.0.0
# via
# -r requirements.in
# matplotlib
platformdirs==2.5.4
# via jupyter-core
prometheus-client==0.15.0
# via
# jupyter-server
# nbclassic
# notebook
prompt-toolkit==3.0.33
# via ipython
psutil==5.9.4
# via ipykernel
ptyprocess==0.7.0
# via
# pexpect
# terminado
pure-eval==0.2.2
# via stack-data
pycparser==2.21
# via cffi
pygments==2.13.0
# via
# ipython
# nbconvert
pyparsing==3.0.9
# via
# matplotlib
# packaging
pyproj==3.5.0
# via geopandas
pyrsistent==0.19.2
# via jsonschema
python-dateutil==2.8.2
# via
# jupyter-client
# matplotlib
# pandas
pytz==2023.3
# via pandas
pyzmq==24.0.1
# via
# ipykernel
# jupyter-client
# jupyter-server
# nbclassic
# notebook
scikit-spatial==6.6.0
# via -r requirements.in
scipy==1.9.3
# via -r requirements.in
send2trash==1.8.0
# via
# jupyter-server
# nbclassic
# notebook
shapely==2.0.1
# via geopandas
six==1.16.0
# via
# asttokens
# bleach
# munch
# python-dateutil
sniffio==1.3.0
# via anyio
soupsieve==2.3.2.post1
# via beautifulsoup4
stack-data==0.6.1
# via ipython
terminado==0.17.0
# via
# jupyter-server
# nbclassic
# notebook
tinycss2==1.2.1
# via nbconvert
tornado==6.2
# via
# ipykernel
# jupyter-client
# jupyter-server
# nbclassic
# notebook
# terminado
tqdm==4.66.5
# via -r requirements.in
traitlets==5.5.0
# via
# ipykernel
# ipython
# jupyter-client
# jupyter-core
# jupyter-server
# matplotlib-inline
# nbclassic
# nbclient
# nbconvert
# nbformat
# notebook
tzdata==2023.3
# via pandas
wcwidth==0.2.5
# via prompt-toolkit
webencodings==0.5.1
# via
# bleach
# tinycss2
websocket-client==1.4.2
# via jupyter-server