requirements-dev.txt

#
# This file is autogenerated by pip-compile with python 3.8
# To update, run:
#
#    pip-compile --output-file=requirements-dev.txt requirements-dev.in
#
--index-url https://pypi.python.org/simple

aiohttp==3.8.3
    # via jupyter-server-proxy
aiosignal==1.3.1
    # via aiohttp
alembic==1.8.1
    # via optuna
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
astroid==2.12.13
    # via pylint
asttokens==2.1.0
    # via stack-data
async-timeout==4.0.2
    # via
    #   aiohttp
    #   redis
asyncssh==2.12.0
    # via timeeval
attrs==22.1.0
    # via
    #   aiohttp
    #   cmd2
    #   jsonschema
    #   pytest
autopage==0.5.1
    # via cliff
babel==2.11.0
    # via jupyterlab-server
backcall==0.2.0
    # via ipython
beautifulsoup4==4.11.1
    # via nbconvert
black==22.10.0
    # via -r requirements-ci.in
bleach==5.0.1
    # via nbconvert
bokeh==3.0.2
    # via
    #   -r requirements.in
    #   dask
bottle==0.12.23
    # via optuna-dashboard
certifi==2022.9.24
    # via requests
cffi==1.15.1
    # via
    #   argon2-cffi-bindings
    #   cryptography
charset-normalizer==2.1.1
    # via
    #   aiohttp
    #   requests
click==8.0.2
    # via
    #   black
    #   distributed
    #   timeeval
cliff==4.1.0
    # via optuna
cloudpickle==2.2.0
    # via
    #   dask
    #   distributed
cmaes==0.9.0
    # via optuna
cmd2==2.4.2
    # via cliff
colorlog==6.7.0
    # via optuna
configupdater==3.1.1
    # via pyscaffold
contourpy==1.0.6
    # via
    #   bokeh
    #   matplotlib
cryptography==38.0.3
    # via asyncssh
cycler==0.11.0
    # via matplotlib
dask[diagnostics,distributed]==2021.5.1
    # via
    #   -r requirements.in
    #   distributed
    #   timeeval
debugpy==1.6.3
    # via ipykernel
decorator==5.1.1
    # via ipython
defusedxml==0.7.1
    # via nbconvert
dill==0.3.6
    # via pylint
distributed==2021.05.1
    # via dask
docker==6.0.1
    # via timeeval
durations==0.3.3
    # via timeeval
entrypoints==0.4
    # via jupyter-client
exceptiongroup==1.0.4
    # via pytest
executing==1.2.0
    # via stack-data
fastjsonschema==2.16.2
    # via nbformat
fonttools==4.38.0
    # via matplotlib
frozenlist==1.3.3
    # via
    #   aiohttp
    #   aiosignal
fsspec==2022.11.0
    # via dask
gevent==22.10.2
    # via parallel-ssh
gitdb==4.0.10
    # via gitpython
gitpython==3.1.29
    # via timeeval-gutentag
graphviz==0.20.1
    # via -r requirements-dev.in
greenlet==2.0.1
    # via
    #   gevent
    #   sqlalchemy
heapdict==1.0.1
    # via zict
idna==3.4
    # via
    #   anyio
    #   requests
    #   yarl
importlib-metadata==4.13.0
    # via
    #   -r requirements.in
    #   alembic
    #   cliff
    #   jupyterlab-server
    #   nbconvert
    #   optuna
importlib-resources==5.10.0
    # via
    #   alembic
    #   jsonschema
iniconfig==1.1.1
    # via pytest
ipykernel==6.17.1
    # via
    #   -r requirements-dev.in
    #   nbclassic
    #   notebook
ipython==8.6.0
    # via
    #   ipykernel
    #   jupyterlab
ipython-genutils==0.2.0
    # via
    #   nbclassic
    #   notebook
isort==5.10.1
    # via pylint
jedi==0.18.2
    # via ipython
jinja2==3.1.2
    # via
    #   bokeh
    #   jupyter-server
    #   jupyterlab
    #   jupyterlab-server
    #   nbclassic
    #   nbconvert
    #   notebook
    #   timeeval
joblib==1.2.0
    # via
    #   pgmpy
    #   scikit-learn
    #   timeeval-gutentag
json5==0.9.10
    # via jupyterlab-server
jsonschema==4.17.1
    # via
    #   -r requirements.in
    #   jupyterlab-server
    #   nbformat
    #   timeeval-gutentag
jupyter-client==7.4.7
    # via
    #   ipykernel
    #   jupyter-server
    #   nbclassic
    #   nbclient
    #   notebook
jupyter-core==5.0.0
    # via
    #   jupyter-client
    #   jupyter-server
    #   jupyterlab
    #   nbclassic
    #   nbconvert
    #   nbformat
    #   notebook
jupyter-server==1.23.3
    # via
    #   jupyter-server-proxy
    #   jupyterlab
    #   jupyterlab-server
    #   nbclassic
    #   notebook-shim
jupyter-server-proxy==3.2.2
    # via -r requirements.in
jupyterlab==3.5.0
    # via -r requirements-dev.in
jupyterlab-pygments==0.2.2
    # via nbconvert
jupyterlab-server==2.16.3
    # via jupyterlab
kiwisolver==1.3.2
    # via
    #   -r requirements.in
    #   matplotlib
lazy-object-proxy==1.8.0
    # via astroid
locket==1.0.0
    # via partd
mako==1.2.4
    # via alembic
markupsafe==2.1.1
    # via
    #   jinja2
    #   mako
    #   nbconvert
matplotlib==3.6.2
    # via
    #   neurokit2
    #   seaborn
    #   timeeval
    #   timeeval-gutentag
matplotlib-inline==0.1.6
    # via
    #   ipykernel
    #   ipython
mccabe==0.7.0
    # via pylint
mistune==2.0.4
    # via nbconvert
msgpack==1.0.4
    # via distributed
multidict==6.0.2
    # via
    #   aiohttp
    #   yarl
mypy-extensions==0.4.3
    # via black
mysqlclient==2.1.1
    # via -r requirements.in
nbclassic==0.4.8
    # via
    #   jupyterlab
    #   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==2.8.8
    # via pgmpy
neurokit2==0.1.2
    # via timeeval-gutentag
notebook==6.5.2
    # via jupyterlab
notebook-shim==0.2.2
    # via nbclassic
numpy==1.23.5
    # via
    #   bokeh
    #   cmaes
    #   contourpy
    #   matplotlib
    #   neurokit2
    #   numpyencoder
    #   opt-einsum
    #   optuna
    #   pandas
    #   patsy
    #   pgmpy
    #   prts
    #   scikit-learn
    #   scipy
    #   seaborn
    #   statsmodels
    #   timeeval
    #   timeeval-gutentag
numpyencoder==0.3.0
    # via timeeval
nvidia-cublas-cu11==11.10.3.66
    # via
    #   nvidia-cudnn-cu11
    #   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
opt-einsum==3.3.0
    # via pgmpy
optuna==3.0.3
    # via
    #   -r requirements.in
    #   optuna-dashboard
optuna-dashboard==0.7.3
    # via -r requirements.in
packaging==21.3
    # via
    #   bokeh
    #   docker
    #   ipykernel
    #   jupyter-server
    #   jupyterlab
    #   jupyterlab-server
    #   matplotlib
    #   nbconvert
    #   optuna
    #   optuna-dashboard
    #   pyscaffold
    #   pytest
    #   redis
    #   setuptools-scm
    #   statsmodels
pandas==1.5.2
    # via
    #   -r requirements.in
    #   bokeh
    #   neurokit2
    #   pgmpy
    #   seaborn
    #   statsmodels
    #   timeeval
    #   timeeval-gutentag
pandocfilters==1.5.0
    # via nbconvert
parallel-ssh==2.12.0
    # via -r requirements.in
parso==0.8.3
    # via jedi
partd==1.3.0
    # via dask
pathspec==0.10.2
    # via black
patsy==0.5.3
    # via statsmodels
pbr==5.11.0
    # via stevedore
pexpect==4.8.0
    # via ipython
pgmpy==0.1.20
    # via -r requirements.in
pickleshare==0.7.5
    # via ipython
pillow==9.3.0
    # via
    #   bokeh
    #   matplotlib
pkgutil-resolve-name==1.3.10
    # via jsonschema
platformdirs==2.5.4
    # via
    #   black
    #   jupyter-core
    #   pylint
    #   pyscaffold
pluggy==1.0.0
    # via pytest
portalocker==2.6.0
    # via -r requirements.in
prettytable==3.5.0
    # via cliff
prometheus-client==0.15.0
    # via
    #   jupyter-server
    #   nbclassic
    #   notebook
prompt-toolkit==3.0.33
    # via ipython
prts==1.0.0.3
    # via timeeval
psutil==5.9.4
    # via
    #   distributed
    #   ipykernel
    #   timeeval
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
pylint==2.15.6
    # via -r requirements-ci.in
pymysql==1.0.2
    # via -r requirements.in
pyparsing==3.0.9
    # via
    #   matplotlib
    #   packaging
    #   pgmpy
pyperclip==1.8.2
    # via cmd2
pyrsistent==0.19.2
    # via jsonschema
pyscaffold==4.3.1
    # via -r requirements-dev.in
pytest==7.2.0
    # via -r requirements-ci.in
python-dateutil==2.8.2
    # via
    #   jupyter-client
    #   matplotlib
    #   pandas
pytz==2022.6
    # via
    #   babel
    #   pandas
pyyaml==6.0
    # via
    #   -r requirements.in
    #   bokeh
    #   cliff
    #   dask
    #   distributed
    #   optuna
    #   timeeval-gutentag
pyzmq==24.0.1
    # via
    #   ipykernel
    #   jupyter-client
    #   jupyter-server
    #   nbclassic
    #   notebook
redis==4.3.5
    # via -r requirements.in
requests==2.28.1
    # via
    #   -r requirements.in
    #   docker
    #   jupyterlab-server
scikit-learn==1.1.3
    # via
    #   neurokit2
    #   optuna-dashboard
    #   pgmpy
    #   timeeval
    #   timeeval-gutentag
scipy==1.8.1
    # via
    #   neurokit2
    #   optuna
    #   pgmpy
    #   scikit-learn
    #   statsmodels
seaborn==0.12.1
    # via -r requirements-dev.in
send2trash==1.8.0
    # via
    #   jupyter-server
    #   nbclassic
    #   notebook
setuptools-scm==7.0.5
    # via pyscaffold
simpervisor==0.4
    # via jupyter-server-proxy
six==1.16.0
    # via
    #   asttokens
    #   bleach
    #   patsy
    #   python-dateutil
smmap==5.0.0
    # via gitdb
sniffio==1.3.0
    # via anyio
sortedcontainers==2.4.0
    # via distributed
soupsieve==2.3.2.post1
    # via beautifulsoup4
sqlalchemy==1.4.44
    # via
    #   alembic
    #   optuna
ssh-python==0.10.0
    # via parallel-ssh
ssh2-python==1.0.0
    # via parallel-ssh
stack-data==0.6.1
    # via ipython
statsmodels==0.13.5
    # via
    #   pgmpy
    #   timeeval
stevedore==4.1.1
    # via cliff
tblib==1.7.0
    # via distributed
terminado==0.17.0
    # via
    #   jupyter-server
    #   nbclassic
    #   notebook
threadpoolctl==3.1.0
    # via scikit-learn
timeeval==1.2.8
    # via -r requirements.in
timeeval-gutentag==1.2.0
    # via -r requirements.in
tinycss2==1.2.1
    # via nbconvert
tomli==2.0.1
    # via
    #   black
    #   jupyterlab
    #   pylint
    #   pytest
    #   setuptools-scm
tomlkit==0.11.6
    # via
    #   pylint
    #   pyscaffold
toolz==0.12.0
    # via
    #   dask
    #   distributed
    #   partd
torch==1.13.0
    # via pgmpy
tornado==6.2
    # via
    #   bokeh
    #   distributed
    #   ipykernel
    #   jupyter-client
    #   jupyter-server
    #   jupyterlab
    #   nbclassic
    #   notebook
    #   terminado
tqdm==4.64.1
    # via
    #   optuna
    #   pgmpy
    #   timeeval
    #   timeeval-gutentag
traitlets==5.5.0
    # via
    #   ipykernel
    #   ipython
    #   jupyter-client
    #   jupyter-core
    #   jupyter-server
    #   matplotlib-inline
    #   nbclassic
    #   nbclient
    #   nbconvert
    #   nbformat
    #   notebook
typing-extensions==4.4.0
    # via
    #   astroid
    #   asyncssh
    #   black
    #   pylint
    #   setuptools-scm
    #   torch
urllib3==1.26.13
    # via
    #   docker
    #   requests
wcwidth==0.2.5
    # via
    #   cmd2
    #   prettytable
    #   prompt-toolkit
webencodings==0.5.1
    # via
    #   bleach
    #   tinycss2
websocket-client==1.4.2
    # via
    #   docker
    #   jupyter-server
wheel==0.38.4
    # via
    #   nvidia-cublas-cu11
    #   nvidia-cuda-runtime-cu11
wrapt==1.14.1
    # via astroid
xyzservices==2022.9.0
    # via bokeh
yarl==1.8.1
    # via aiohttp
zict==2.2.0
    # via distributed
zipp==3.10.0
    # via
    #   importlib-metadata
    #   importlib-resources
zope-event==4.5.0
    # via gevent
zope-interface==5.5.2
    # via gevent

# The following packages are considered to be unsafe in a requirements file:
# setuptools