# # This file is autogenerated by pip-compile with Python 3.10 # by the following command: # # pip-compile requirements.in # altair==5.1.1 # via streamlit asttokens==2.4.0 # via stack-data attrs==23.1.0 # via # fiona # jsonschema # referencing backcall==0.2.0 # via ipython blinker==1.6.2 # via streamlit branca==0.6.0 # via # folium # streamlit-folium cachetools==5.3.1 # via streamlit certifi==2023.7.22 # via # fiona # pyproj # requests charset-normalizer==3.2.0 # via requests click==8.1.7 # via # click-plugins # cligj # fiona # streamlit click-plugins==1.1.1 # via fiona cligj==0.7.2 # via fiona cmake==3.27.5 # via triton comm==0.1.4 # via ipykernel concrete-python==2.0.0 # via -r requirements.in contourpy==1.1.1 # via matplotlib cycler==0.11.0 # via matplotlib debugpy==1.8.0 # via ipykernel decorator==5.1.1 # via ipython exceptiongroup==1.1.3 # via ipython executing==1.2.0 # via stack-data filelock==3.12.4 # via # torch # triton fiona==1.9.4.post1 # via geopandas folium==0.14.0 # via # -r requirements.in # streamlit-folium fonttools==4.42.1 # via matplotlib geopandas==0.14.0 # via -r requirements.in gitdb==4.0.10 # via gitpython gitpython==3.1.37 # via streamlit idna==3.4 # via requests importlib-metadata==6.8.0 # via streamlit ipykernel==6.25.2 # via -r requirements.in ipython==8.15.0 # via ipykernel jedi==0.19.0 # via ipython jinja2==3.1.2 # via # altair # branca # folium # pydeck # streamlit-folium # torch joblib==1.3.2 # via scikit-learn jsonschema==4.19.1 # via altair jsonschema-specifications==2023.7.1 # via jsonschema jupyter-client==8.3.1 # via ipykernel jupyter-core==5.3.1 # via # ipykernel # jupyter-client kiwisolver==1.4.5 # via matplotlib lit==16.0.6 # via triton mapclassify==2.6.0 # via -r requirements.in markdown-it-py==3.0.0 # via rich markupsafe==2.1.3 # via jinja2 matplotlib==3.8.0 # via -r requirements.in matplotlib-inline==0.1.6 # via # ipykernel # ipython mdurl==0.1.2 # via markdown-it-py mpmath==1.3.0 # via sympy nest-asyncio==1.5.8 # via ipykernel networkx==3.1 # via # concrete-python # mapclassify # torch numpy==1.26.0 # via # -r requirements.in # altair # concrete-python # contourpy # folium # mapclassify # matplotlib # pandas # pyarrow # pydeck # scikit-learn # scipy # shapely # streamlit nvidia-cublas-cu11==11.10.3.66 # via # nvidia-cudnn-cu11 # nvidia-cusolver-cu11 # torch nvidia-cuda-cupti-cu11==11.7.101 # via torch nvidia-cuda-nvrtc-cu11==11.7.99 # via torch nvidia-cuda-runtime-cu11==11.7.99 # via torch nvidia-cudnn-cu11==8.5.0.96 # via torch nvidia-cufft-cu11==10.9.0.58 # via torch nvidia-curand-cu11==10.2.10.91 # via torch nvidia-cusolver-cu11==11.4.0.1 # via torch nvidia-cusparse-cu11==11.7.4.91 # via torch nvidia-nccl-cu11==2.14.3 # via torch nvidia-nvtx-cu11==11.7.91 # via torch packaging==23.1 # via # altair # geopandas # ipykernel # matplotlib # streamlit pandas==2.1.1 # via # altair # geopandas # mapclassify # streamlit parso==0.8.3 # via jedi pexpect==4.8.0 # via ipython pickleshare==0.7.5 # via ipython pillow==9.5.0 # via # matplotlib # streamlit platformdirs==3.10.0 # via jupyter-core prompt-toolkit==3.0.39 # via ipython protobuf==4.24.3 # via streamlit psutil==5.9.5 # via ipykernel ptyprocess==0.7.0 # via pexpect pure-eval==0.2.2 # via stack-data pyarrow==13.0.0 # via streamlit pydeck==0.8.1b0 # via streamlit pygments==2.16.1 # via # ipython # rich pyparsing==3.1.1 # via matplotlib pyproj==3.6.1 # via geopandas python-dateutil==2.8.2 # via # jupyter-client # matplotlib # pandas # streamlit pytz==2023.3.post1 # via pandas pyzmq==25.1.1 # via # ipykernel # jupyter-client referencing==0.30.2 # via # jsonschema # jsonschema-specifications requests==2.31.0 # via # folium # streamlit rich==13.5.3 # via streamlit rpds-py==0.10.3 # via # jsonschema # referencing scikit-learn==1.3.1 # via mapclassify scipy==1.11.2 # via # concrete-python # mapclassify # scikit-learn shapely==2.0.1 # via # -r requirements.in # geopandas six==1.16.0 # via # asttokens # fiona # python-dateutil smmap==5.0.1 # via gitdb stack-data==0.6.2 # via ipython streamlit==1.27.0 # via # -r requirements.in # streamlit-folium streamlit-folium==0.14.0 # via -r requirements.in sympy==1.12 # via torch tenacity==8.2.3 # via streamlit threadpoolctl==3.2.0 # via scikit-learn toml==0.10.2 # via streamlit toolz==0.12.0 # via altair torch==2.0.1 # via # concrete-python # triton tornado==6.3.3 # via # ipykernel # jupyter-client # streamlit traitlets==5.10.0 # via # comm # ipykernel # ipython # jupyter-client # jupyter-core # matplotlib-inline triton==2.0.0 # via torch typing-extensions==4.8.0 # via # altair # streamlit # torch tzdata==2023.3 # via pandas tzlocal==5.0.1 # via streamlit urllib3==2.0.5 # via requests validators==0.22.0 # via streamlit watchdog==3.0.0 # via streamlit wcwidth==0.2.6 # via prompt-toolkit wheel==0.41.2 # via # nvidia-cublas-cu11 # nvidia-cuda-cupti-cu11 # nvidia-cuda-runtime-cu11 # nvidia-curand-cu11 # nvidia-cusparse-cu11 # nvidia-nvtx-cu11 zipp==3.17.0 # via importlib-metadata # The following packages are considered to be unsafe in a requirements file: # setuptools