#
# This file is autogenerated by pip-compile
# To update, run:
#
#    pip-compile requirements.in
#
agentmet4fof==0.2.0       # via -r tutorials/agentMET4FOF_ZeMA_emc/requirements.in, -r tutorials/agentMET4FOF_anomaly_detection/requirements.in, -r tutorials/agentMET4FOF_ml/requirements.txt, -r tutorials/agentMET4FOF_sensors/requirements.in
alabaster==0.7.12         # via sphinx
appdirs==1.4.4            # via black, virtualenv
argon2-cffi==20.1.0       # via notebook
arrow==0.17.0             # via jinja2-time
arviz==0.9.0              # via -r ZeMA_testbed_Bayesian_machine_learning/requirements.in, pymc3
astroid==2.4.2            # via pylint
async-generator==1.10     # via nbclient
attrs==20.3.0             # via hypothesis, jsonschema, pytest
automationhat==0.2.2      # via -r tutorials/agentMET4FOF_sensors/requirements.in
babel==2.9.0              # via flask-babel, sphinx
backcall==0.2.0           # via ipython
binaryornot==0.4.4        # via cookiecutter
black==20.8b1             # via -r PyDynamic/requirements/dev-requirements.in
bleach==3.2.1             # via nbconvert, readme-renderer
blinker==1.4              # via octoprint
brotli==1.0.9             # via flask-compress
cachelib==0.1.1           # via octoprint
certifi==2020.4.5.1       # via -r ZeMA_testbed_Bayesian_machine_learning/requirements.in, requests, sentry-sdk
cffi==1.14.4              # via argon2-cffi, cryptography
cftime==1.1.1.1           # via -r ZeMA_testbed_Bayesian_machine_learning/requirements.in, netcdf4
chardet==3.0.4            # via -r ZeMA_testbed_Bayesian_machine_learning/requirements.in, binaryornot, requests
click-log==0.3.2          # via python-semantic-release
click==7.1.2              # via black, click-log, cookiecutter, flask, mesa, octoprint, python-semantic-release
cloudpickle==1.6.0        # via osbrain
colorama==0.4.4           # via twine
commonmark==0.9.1         # via recommonmark
cookiecutter==1.7.2       # via mesa
coverage==5.3             # via pytest-cov
cryptography==3.2.1       # via secretstorage
cycler==0.10.0            # via -r ZeMA_testbed_Bayesian_machine_learning/requirements.in, matplotlib
cython==0.29.13           # via -r ZeMA_testbed_Bayesian_machine_learning/requirements.in
dash-core-components==1.13.0  # via dash
dash-cytoscape==0.2.0     # via -r agentMET4FOF/requirements.txt, -r tutorials/agentMET4FOF_bayesian_neural_network_ZeMA/requirements.txt, agentmet4fof
dash-daq==0.5.0           # via -r tutorials/agentMET4FOF_bayesian_neural_network_ZeMA/requirements.txt
dash-html-components==1.1.1  # via dash
dash-table==4.11.0        # via dash
dash==1.17.0              # via -r agentMET4FOF/requirements.txt, -r tutorials/agentMET4FOF_bayesian_neural_network_ZeMA/requirements.txt, -r tutorials/agentMET4FOF_sensors/requirements.in, agentmet4fof, dash-cytoscape, dash-daq
dash_renderer==1.8.3      # via dash
dataclasses==0.6          # via torch
decorator==4.4.2          # via ipython, networkx
defusedxml==0.6.0         # via nbconvert
dill==0.3.3               # via multiprocess, osbrain
distlib==0.3.1            # via virtualenv
docutils==0.16            # via nbsphinx, readme-renderer, recommonmark, sphinx
emoji==0.6.0              # via octoprint
entrypoints==0.3          # via nbconvert
fastprogress==0.2.3       # via -r ZeMA_testbed_Bayesian_machine_learning/requirements.in, pymc3
feedparser==5.2.1         # via octoprint
filelock==3.0.12          # via tox, virtualenv
filetype==1.0.7           # via octoprint
flask-assets==2.0         # via octoprint
flask-babel==1.0.0        # via octoprint
flask-compress==1.8.0     # via dash
flask-login==0.5.0        # via octoprint
flask==1.1.2              # via dash, flask-assets, flask-babel, flask-compress, flask-login, octoprint
frozendict==1.2           # via octoprint
future==0.18.2            # via dash, octoprint, torch, uncertainties
gitdb==4.0.5              # via gitpython
gitpython==3.1.11         # via python-semantic-release
h5py==2.10.0              # via -r ZeMA_testbed_Bayesian_machine_learning/requirements.in, -r tutorials/ZeMA-machine-learning-tutorials/requirements.txt, -r tutorials/agentMET4FOF_ZeMA_emc/requirements.in, pymc3
hypothesis==5.41.3        # via -r PyDynamic/requirements/dev-requirements.in
idna==2.9                 # via -r ZeMA_testbed_Bayesian_machine_learning/requirements.in, requests
imagesize==1.2.0          # via sphinx
iniconfig==1.1.1          # via pytest
invoke==1.4.1             # via python-semantic-release
ipykernel==5.3.4          # via -r agentMET4FOF/requirements.txt, -r tutorials/ZeMA-machine-learning-tutorials/requirements.txt, -r tutorials/agentMET4FOF_bayesian_neural_network_ZeMA/requirements.txt, ipywidgets, jupyter, jupyter-console, notebook, qtconsole
ipython-genutils==0.2.0   # via nbformat, notebook, qtconsole, traitlets
ipython==7.19.0           # via ipykernel, ipywidgets, jupyter-console
ipywidgets==7.5.1         # via -r tutorials/ZeMA-machine-learning-tutorials/requirements.txt, jupyter
isort==5.6.4              # via pylint
itsdangerous==1.1.0       # via flask, octoprint
jedi==0.17.2              # via ipython
jeepney==0.6.0            # via keyring, secretstorage
jinja2-time==0.2.0        # via cookiecutter
jinja2==2.11.2            # via cookiecutter, flask, flask-babel, jinja2-time, mpld3, nbconvert, nbsphinx, notebook, octoprint, sphinx
joblib==0.14.1            # via -r ZeMA_testbed_Bayesian_machine_learning/requirements.in, scikit-learn
jsonschema==3.2.0         # via nbformat
jupyter-client==6.1.7     # via ipykernel, jupyter-console, nbclient, notebook, qtconsole
jupyter-console==6.2.0    # via jupyter
jupyter-core==4.7.0       # via jupyter-client, nbconvert, nbformat, notebook, qtconsole
jupyter==1.0.0            # via -r tutorials/agentMET4FOF_bayesian_neural_network_ZeMA/requirements.txt
jupyterlab-pygments==0.1.2  # via nbconvert
keyring==21.5.0           # via twine
kiwisolver==1.1.0         # via -r ZeMA_testbed_Bayesian_machine_learning/requirements.in, matplotlib
lazy-object-proxy==1.4.3  # via astroid
markdown==3.1.1           # via octoprint
markupsafe==1.1.1         # via cookiecutter, jinja2, octoprint
matplotlib==3.1.1         # via -r ZeMA_testbed_Bayesian_machine_learning/requirements.in, -r agentMET4FOF/requirements.txt, -r tutorials/ZeMA-machine-learning-tutorials/requirements.txt, -r tutorials/agentMET4FOF_ZeMA_emc/requirements.in, -r tutorials/agentMET4FOF_bayesian_neural_network_ZeMA/requirements.txt, agentmet4fof, arviz, mpld3, pydynamic, scikit-multiflow, seaborn
mccabe==0.6.1             # via pylint
mesa==0.8.7               # via -r agentMET4FOF/requirements.txt
mistune==0.8.4            # via nbconvert
mpld3==0.5.1              # via -r agentMET4FOF/requirements.txt
multiprocess==0.70.11.1   # via -r tutorials/agentMET4FOF_bayesian_neural_network_ZeMA/requirements.txt
mypy-extensions==0.4.3    # via black
nbclient==0.5.1           # via nbconvert
nbconvert==6.0.7          # via jupyter, nbsphinx, notebook
nbformat==5.0.8           # via ipywidgets, nbclient, nbconvert, nbsphinx, notebook
nbsphinx==0.8.0           # via -r PyDynamic/requirements/dev-requirements.in
nest-asyncio==1.4.3       # via nbclient
netaddr==0.8.0            # via octoprint
netcdf4==1.5.3            # via -r ZeMA_testbed_Bayesian_machine_learning/requirements.in, arviz
netifaces==0.10.9         # via octoprint
networkx==2.5             # via -r agentMET4FOF/requirements.txt, -r tutorials/agentMET4FOF_bayesian_neural_network_ZeMA/requirements.txt, agentmet4fof, mesa
notebook==6.1.5           # via jupyter, widgetsnbextension
numpy==1.16.5             # via -r ZeMA_testbed_Bayesian_machine_learning/requirements.in, -r agentMET4FOF/requirements.txt, -r time-series-buffer/requirements.txt, -r tutorials/ZeMA-machine-learning-tutorials/requirements.txt, -r tutorials/agentMET4FOF_ZeMA_emc/requirements.in, -r tutorials/agentMET4FOF_anomaly_detection/requirements.in, -r tutorials/agentMET4FOF_bayesian_neural_network_ZeMA/requirements.txt, -r tutorials/agentMET4FOF_ml/requirements.txt, -r tutorials/agentMET4FOF_sensors/requirements.in, agentmet4fof, arviz, cftime, h5py, matplotlib, mesa, netcdf4, pandas, patsy, pydynamic, pymc3, scikit-learn, scikit-multiflow, scipy, seaborn, statsmodels, theano, time-series-buffer, torch, xarray
octoprint-filecheck==2020.8.7  # via octoprint
octoprint-firmwarecheck==2020.9.23  # via octoprint
octoprint==1.4.2          # via -r tutorials/agentMET4FOF_sensors/requirements.in
osbrain==0.6.5            # via -r agentMET4FOF/requirements.txt, -r tutorials/agentMET4FOF_bayesian_neural_network_ZeMA/requirements.txt, agentmet4fof
packaging==20.3           # via -r ZeMA_testbed_Bayesian_machine_learning/requirements.in, arviz, bleach, pytest, sphinx, tox
pandas==1.0.3             # via -r ZeMA_testbed_Bayesian_machine_learning/requirements.in, -r agentMET4FOF/requirements.txt, -r tutorials/ZeMA-machine-learning-tutorials/requirements.txt, -r tutorials/agentMET4FOF_ZeMA_emc/requirements.in, -r tutorials/agentMET4FOF_anomaly_detection/requirements.in, -r tutorials/agentMET4FOF_bayesian_neural_network_ZeMA/requirements.txt, agentmet4fof, arviz, mesa, pydynamic, pymc3, scikit-multiflow, seaborn, statsmodels, xarray
pandocfilters==1.4.3      # via nbconvert
parso==0.7.1              # via jedi
pathspec==0.8.1           # via black
pathtools==0.1.2          # via watchdog
patsy==0.5.1              # via -r ZeMA_testbed_Bayesian_machine_learning/requirements.in, pymc3, statsmodels
pexpect==4.8.0            # via ipython
pickleshare==0.7.5        # via ipython
pkginfo==1.6.1            # via octoprint, twine
plotly==4.13.0            # via -r agentMET4FOF/requirements.txt, -r tutorials/agentMET4FOF_anomaly_detection/requirements.in, -r tutorials/agentMET4FOF_bayesian_neural_network_ZeMA/requirements.txt, agentmet4fof, dash
pluggy==0.13.1            # via pytest, tox
poyo==0.5.0               # via cookiecutter
prometheus-client==0.9.0  # via notebook
prompt-toolkit==3.0.8     # via ipython, jupyter-console
psutil==5.7.3             # via -r tutorials/agentMET4FOF_anomaly_detection/dev-requirements.in, octoprint
ptyprocess==0.6.0         # via pexpect, terminado
py==1.9.0                 # via pytest, tox
pyasn1==0.4.8             # via rsa
pycparser==2.20           # via cffi
pydynamic==1.6.1          # via -r tutorials/ZeMA-machine-learning-tutorials/requirements.txt
pygments==2.7.2           # via ipython, jupyter-console, jupyterlab-pygments, nbconvert, qtconsole, readme-renderer, sphinx
pylint==2.6.0             # via -r PyDynamic/requirements/dev-requirements.in
pylru==1.2.0              # via octoprint
pymc3==3.9.2              # via -r ZeMA_testbed_Bayesian_machine_learning/requirements.in
pyparsing==2.4.7          # via matplotlib, packaging
pyro4==4.80               # via osbrain
pyrsistent==0.17.3        # via jsonschema
pyserial==3.5             # via -r tutorials/agentMET4FOF_sensors/requirements.in, octoprint
pytest-cov==2.10.1        # via -r PyDynamic/requirements/dev-requirements.in
pytest-timeout==1.4.2     # via -r tutorials/agentMET4FOF_anomaly_detection/dev-requirements.in
pytest==6.1.2             # via -r PyDynamic/requirements/dev-requirements.in, -r time-series-metadata/requirements/dev-requirements.in, -r tutorials/agentMET4FOF_anomaly_detection/dev-requirements.in, pytest-cov, pytest-timeout
python-dateutil==2.8.1    # via -r ZeMA_testbed_Bayesian_machine_learning/requirements.in, arrow, jupyter-client, matplotlib, pandas
python-gitlab==1.15.0     # via python-semantic-release
python-semantic-release==7.4.0  # via -r PyDynamic/requirements/dev-requirements.in, -r time-series-metadata/requirements/dev-requirements.in
python-slugify==4.0.1     # via cookiecutter
pytz==2019.3              # via -r ZeMA_testbed_Bayesian_machine_learning/requirements.in, babel, flask-babel, pandas
pyyaml==5.3.1             # via octoprint
pyzmq==20.0.0             # via jupyter-client, notebook, osbrain, qtconsole
qtconsole==5.0.1          # via jupyter
qtpy==1.9.0               # via qtconsole
readme-renderer==28.0     # via twine
recommonmark==0.6.0       # via -r PyDynamic/requirements/dev-requirements.in, -r time-series-metadata/requirements/dev-requirements.in
regex==2020.11.13         # via black, octoprint
requests-toolbelt==0.9.1  # via twine
requests==2.23.0          # via -r ZeMA_testbed_Bayesian_machine_learning/requirements.in, -r tutorials/ZeMA-machine-learning-tutorials/requirements.txt, -r tutorials/agentMET4FOF_anomaly_detection/dev-requirements.in, -r tutorials/agentMET4FOF_bayesian_neural_network_ZeMA/requirements.txt, cookiecutter, octoprint, python-gitlab, python-semantic-release, requests-toolbelt, sphinx, twine
retrying==1.3.3           # via plotly
rfc3986==1.4.0            # via twine
rope==0.18.0              # via -r PyDynamic/requirements/dev-requirements.in
rpi.gpio==0.7.0           # via automationhat
rsa==4.0                  # via octoprint
sarge==0.1.5post0         # via octoprint
scikit-learn==0.21.3      # via -r ZeMA_testbed_Bayesian_machine_learning/requirements.in, -r tutorials/ZeMA-machine-learning-tutorials/requirements.txt, -r tutorials/agentMET4FOF_ZeMA_emc/requirements.in, -r tutorials/agentMET4FOF_bayesian_neural_network_ZeMA/requirements.txt, scikit-multiflow
scikit-multiflow==0.5.3   # via -r tutorials/agentMET4FOF_ml/requirements.txt
scipy==1.3.2              # via -r ZeMA_testbed_Bayesian_machine_learning/requirements.in, -r agentMET4FOF/requirements.txt, -r tutorials/ZeMA-machine-learning-tutorials/requirements.txt, -r tutorials/agentMET4FOF_ZeMA_emc/requirements.in, -r tutorials/agentMET4FOF_anomaly_detection/requirements.in, -r tutorials/agentMET4FOF_bayesian_neural_network_ZeMA/requirements.txt, agentmet4fof, arviz, pydynamic, pymc3, scikit-learn, scikit-multiflow, seaborn, statsmodels, theano
seaborn==0.11.0           # via -r tutorials/agentMET4FOF_bayesian_neural_network_ZeMA/requirements.txt
secretstorage==3.3.0      # via keyring
semantic-version==2.8.5   # via octoprint
semver==2.13.0            # via python-semantic-release
send2trash==1.5.0         # via notebook
sentry-sdk==0.19.4        # via octoprint
serpent==1.30.2           # via pyro4
six==1.14.0               # via -r ZeMA_testbed_Bayesian_machine_learning/requirements.in, argon2-cffi, astroid, bleach, cookiecutter, cryptography, cycler, h5py, jsonschema, packaging, patsy, plotly, python-dateutil, python-gitlab, readme-renderer, retrying, theano, tox, virtualenv, websocket-client
smmap==3.0.4              # via gitdb
sn3218==1.2.7             # via automationhat
snowballstemmer==2.0.0    # via sphinx
sortedcontainers==2.3.0   # via hypothesis, scikit-multiflow
sphinx-rtd-theme==0.5.0   # via -r PyDynamic/requirements/dev-requirements.in, -r time-series-metadata/requirements/dev-requirements.in
sphinx==3.3.1             # via -r PyDynamic/requirements/dev-requirements.in, -r time-series-metadata/requirements/dev-requirements.in, nbsphinx, recommonmark, sphinx-rtd-theme
sphinxcontrib-applehelp==1.0.2  # via sphinx
sphinxcontrib-devhelp==1.0.2  # via sphinx
sphinxcontrib-htmlhelp==1.0.3  # via sphinx
sphinxcontrib-jsmath==1.0.1  # via sphinx
sphinxcontrib-qthelp==1.0.3  # via sphinx
sphinxcontrib-serializinghtml==1.1.4  # via sphinx
spidev==3.5               # via st7735
st7735==0.0.4             # via automationhat
statsmodels==0.12.1       # via -r tutorials/ZeMA-machine-learning-tutorials/requirements.txt
terminado==0.9.1          # via notebook
testpath==0.4.4           # via nbconvert
text-unidecode==1.3       # via python-slugify
theano==1.0.4             # via -r ZeMA_testbed_Bayesian_machine_learning/requirements.in, pymc3
time-series-buffer==0.1.4b0  # via -r agentMET4FOF/requirements.txt, agentmet4fof
time-series-metadata==0.1.0  # via -r agentMET4FOF/requirements.txt, agentmet4fof
toml==0.10.2              # via black, pylint, pytest, python-semantic-release, tox
torch==1.7.0              # via -r tutorials/agentMET4FOF_anomaly_detection/requirements.in, -r tutorials/agentMET4FOF_bayesian_neural_network_ZeMA/requirements.txt
tornado==5.1.1            # via ipykernel, jupyter-client, mesa, notebook, octoprint, terminado
tox==3.20.1               # via -r PyDynamic/requirements/dev-requirements.in, -r time-series-metadata/requirements/dev-requirements.in
tqdm==4.47.0              # via -r ZeMA_testbed_Bayesian_machine_learning/requirements.in, mesa, twine
traitlets==5.0.5          # via ipykernel, ipython, ipywidgets, jupyter-client, jupyter-core, nbclient, nbconvert, nbformat, nbsphinx, notebook, qtconsole
twine==3.2.0              # via python-semantic-release
typed-ast==1.4.1          # via black
typing-extensions==3.7.4.2  # via -r ZeMA_testbed_Bayesian_machine_learning/requirements.in, black, pymc3, torch
uncertainties==3.1.5      # via -r time-series-buffer/requirements.txt, time-series-buffer
unidecode==0.4.21         # via octoprint
urllib3==1.25.8           # via -r ZeMA_testbed_Bayesian_machine_learning/requirements.in, requests, sentry-sdk
virtualenv==20.2.1        # via tox
watchdog==0.10.4          # via octoprint
wcwidth==0.2.5            # via prompt-toolkit
webassets==2.0            # via flask-assets
webencodings==0.5.1       # via bleach
websocket-client==0.57.0  # via octoprint
werkzeug==1.0.1           # via flask, octoprint
wheel==0.35.1             # via python-semantic-release
widgetsnbextension==3.5.1  # via ipywidgets
wrapt==1.12.1             # via astroid, octoprint
xarray==0.15.0            # via -r ZeMA_testbed_Bayesian_machine_learning/requirements.in, arviz

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