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add ipywidgets to non-base builds (#13)
add ipywidgets to DS builds
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python/datascience/3.10/requirements.txt

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#
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# pip-compile --output-file=python/datascience/3.10/requirements.txt --resolver=backtracking python/datascience/3.10/3.10.requirements.in
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#
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anyio==3.7.1
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# via jupyter-server
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argon2-cffi==21.3.0
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# via
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# jupyter-server
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# nbclassic
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# notebook
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argon2-cffi-bindings==21.2.0
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# via argon2-cffi
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arrow==1.2.3
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# via isoduration
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asttokens==2.2.1
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# via stack-data
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attrs==23.1.0
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# via
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# jsonschema
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# referencing
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backcall==0.2.0
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# via ipython
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beautifulsoup4==4.12.2
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# via nbconvert
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bleach==6.0.0
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# via nbconvert
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cffi==1.15.1
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# via argon2-cffi-bindings
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comm==0.1.3
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# via ipykernel
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contourpy==1.1.0
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# via matplotlib
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cycler==0.11.0
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# via matplotlib
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debugpy==1.6.7
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# via ipykernel
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decorator==5.1.1
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# via ipython
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defusedxml==0.7.1
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# via nbconvert
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exceptiongroup==1.1.2
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# via anyio
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executing==1.2.0
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# via stack-data
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fastjsonschema==2.17.1
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# via nbformat
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fonttools==4.40.0
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# via matplotlib
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fqdn==1.5.1
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# via jsonschema
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idna==3.4
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# via
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# anyio
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# jsonschema
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ipykernel==6.24.0
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# via
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# ipywidgets
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# nbclassic
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# notebook
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ipython==8.14.0
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# via
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# ipykernel
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# ipywidgets
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ipython-genutils==0.2.0
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# via
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# ipywidgets
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# nbclassic
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# notebook
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ipywidgets==7.6.6
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# via -r python/datascience/3.10/requirements.in
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isoduration==20.11.0
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# via jsonschema
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jedi==0.18.2
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# via ipython
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jinja2==3.1.2
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# via
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# jupyter-server
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# nbclassic
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# nbconvert
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# notebook
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joblib==1.3.0
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# via scikit-learn
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jsonpointer==2.4
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# via jsonschema
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jsonschema[format-nongpl]==4.18.1
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# via
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# jupyter-events
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# nbformat
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jsonschema-specifications==2023.6.1
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# via jsonschema
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jupyter-client==8.3.0
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# via
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# ipykernel
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# jupyter-server
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# nbclassic
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# nbclient
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# notebook
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jupyter-core==5.3.1
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# via
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# ipykernel
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# jupyter-client
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# jupyter-server
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# nbclassic
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# nbclient
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# nbconvert
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# nbformat
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# notebook
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jupyter-events==0.6.3
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# via jupyter-server
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jupyter-server==2.7.0
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# via
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# nbclassic
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# notebook-shim
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jupyter-server-terminals==0.4.4
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# via jupyter-server
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jupyterlab-pygments==0.2.2
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# via nbconvert
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jupyterlab-widgets==1.1.4
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# via ipywidgets
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kiwisolver==1.4.4
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# via matplotlib
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markupsafe==2.1.3
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# via
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# jinja2
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# nbconvert
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matplotlib==3.7.0
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# via
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# -r python/datascience/3.10/requirements.in
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# seaborn
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matplotlib-inline==0.1.6
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# via
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# ipykernel
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# ipython
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mistune==3.0.1
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# via nbconvert
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nbclassic==1.0.0
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# via notebook
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nbclient==0.8.0
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# via nbconvert
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nbconvert==7.6.0
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# via
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# jupyter-server
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# nbclassic
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# notebook
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nbformat==5.9.1
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# via
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# ipywidgets
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# jupyter-server
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# nbclassic
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# nbclient
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# nbconvert
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# notebook
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nest-asyncio==1.5.6
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# via
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# ipykernel
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# nbclassic
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# notebook
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notebook==6.5.4
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# via widgetsnbextension
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notebook-shim==0.2.3
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# via nbclassic
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numpy==1.25.0
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# via
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# contourpy
@@ -26,26 +170,91 @@ numpy==1.25.0
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# scikit-learn
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# scipy
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# seaborn
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overrides==7.3.1
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# via jupyter-server
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packaging==23.1
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# via
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# ipykernel
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# jupyter-server
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# matplotlib
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# nbconvert
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# plotly
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pandas==2.0.2
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# via
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# -r python/datascience/3.10/requirements.in
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# seaborn
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pandocfilters==1.5.0
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# via nbconvert
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parso==0.8.3
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# via jedi
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pexpect==4.8.0
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# via ipython
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pickleshare==0.7.5
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# via ipython
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pillow==9.5.0
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# via matplotlib
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platformdirs==3.8.1
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# via jupyter-core
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plotly==5.15.0
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# via -r python/datascience/3.10/requirements.in
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prometheus-client==0.17.1
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# via
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# jupyter-server
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# nbclassic
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# notebook
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prompt-toolkit==3.0.39
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# via ipython
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psutil==5.9.5
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# via ipykernel
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ptyprocess==0.7.0
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# via
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# pexpect
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# terminado
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pure-eval==0.2.2
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# via stack-data
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pycparser==2.21
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# via cffi
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pygments==2.15.1
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# via
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# ipython
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# nbconvert
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pyparsing==3.1.0
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# via matplotlib
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python-dateutil==2.8.2
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# via
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# arrow
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# jupyter-client
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# matplotlib
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# pandas
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python-json-logger==2.0.7
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# via jupyter-events
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pytz==2023.3
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# via pandas
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pyyaml==6.0
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# via jupyter-events
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pyzmq==25.1.0
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# via
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# ipykernel
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# jupyter-client
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# jupyter-server
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# nbclassic
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# notebook
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referencing==0.29.1
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# via
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# jsonschema
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# jsonschema-specifications
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rfc3339-validator==0.1.4
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# via
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# jsonschema
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# jupyter-events
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rfc3986-validator==0.1.1
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# via
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# jsonschema
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# jupyter-events
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rpds-py==0.8.10
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# via
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# jsonschema
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# referencing
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scikit-learn==1.2.2
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# via -r python/datascience/3.10/requirements.in
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scipy==1.11.1
@@ -54,11 +263,72 @@ scipy==1.11.1
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# scikit-learn
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seaborn==0.12.2
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# via -r python/datascience/3.10/requirements.in
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send2trash==1.8.2
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# via
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# jupyter-server
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# nbclassic
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# notebook
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six==1.16.0
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# via python-dateutil
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# via
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# asttokens
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# bleach
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# python-dateutil
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# rfc3339-validator
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sniffio==1.3.0
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# via anyio
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soupsieve==2.4.1
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# via beautifulsoup4
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stack-data==0.6.2
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# via ipython
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tenacity==8.2.2
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# via plotly
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terminado==0.17.1
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# via
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# jupyter-server
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# jupyter-server-terminals
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# nbclassic
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# notebook
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threadpoolctl==3.1.0
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# via scikit-learn
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tinycss2==1.2.1
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# via nbconvert
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tornado==6.3.2
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# via
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# ipykernel
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# jupyter-client
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# jupyter-server
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# nbclassic
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# notebook
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# terminado
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traitlets==5.9.0
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# via
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# comm
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# ipykernel
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# ipython
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# ipywidgets
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# jupyter-client
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# jupyter-core
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# jupyter-events
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# jupyter-server
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# matplotlib-inline
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# nbclassic
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# nbclient
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# nbconvert
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# nbformat
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# notebook
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tzdata==2023.3
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# via pandas
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uri-template==1.3.0
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# via jsonschema
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wcwidth==0.2.6
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# via prompt-toolkit
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webcolors==1.13
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# via jsonschema
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webencodings==0.5.1
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# via
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# bleach
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# tinycss2
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websocket-client==1.6.1
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# via jupyter-server
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widgetsnbextension==3.5.2
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# via ipywidgets

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