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griddly_req.yml
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griddly_req.yml
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# This file may be used to create an environment using:
# $ conda create --name <env> --file <this file>
# platform: linux-64
_libgcc_mutex=0.1=main
_tflow_select=2.3.0=mkl
absl-py=0.8.1=py37_0
astor=0.8.0=py37_0
atari-py=0.2.6=pypi_0
attrs=19.3.0=py_0
backcall=0.1.0=py37_0
blas=1.0=mkl
bleach=3.1.0=py37_0
box2d-py=2.3.8=pypi_0
c-ares=1.15.0=h7b6447c_1001
ca-certificates=2020.6.20=hecda079_0
certifi=2020.6.20=py37hc8dfbb8_0
cffi=1.13.2=py37h2e261b9_0
click=7.0=pypi_0
cloudpickle=1.2.2=pypi_0
cma=2.7.0=pypi_0
cudatoolkit=10.1.243=h6bb024c_0
cycler=0.10.0=py37_0
dbus=1.13.12=h746ee38_0
decorator=4.4.1=py_0
defusedxml=0.6.0=py_0
devo=0.1=dev_0
entrypoints=0.3=py37_0
estool=1.0=dev_0
expat=2.2.6=he6710b0_0
flatbuffers=1.11=pypi_0
fontconfig=2.13.0=h9420a91_0
freetype=2.9.1=h8a8886c_1
future=0.18.2=pypi_0
gast=0.2.2=py37_0
glib=2.63.1=h5a9c865_0
gmp=6.1.2=h6c8ec71_1
google-pasta=0.1.8=py_0
griddly=0.2.1=pypi_0
grpcio=1.16.1=py37hf8bcb03_1
gst-plugins-base=1.14.0=hbbd80ab_1
gstreamer=1.14.0=hb453b48_1
gvgai-gym=0.2.1=dev_0
gym=0.17.3=pypi_0
h5py=2.9.0=py37h7918eee_0
hdf5=1.10.4=hb1b8bf9_0
icu=58.2=h9c2bf20_1
imageio=2.9.0=pypi_0
importlib_metadata=1.3.0=py37_0
intel-openmp=2019.4=243
ipykernel=5.1.3=py37h39e3cac_0
ipython=7.10.2=py37h39e3cac_0
ipython_genutils=0.2.0=py37_0
ipywidgets=7.5.1=py_0
jedi=0.15.1=py37_0
jinja2=2.10.3=py_0
joblib=0.14.1=pypi_0
jpeg=9b=h024ee3a_2
jsonschema=3.2.0=py37_0
jupyter=1.0.0=py37_7
jupyter_client=5.3.4=py37_0
jupyter_console=6.1.0=py_0
jupyter_core=4.6.1=py37_0
keras-applications=1.0.8=py_0
keras-preprocessing=1.1.0=py_1
kiwisolver=1.1.0=py37he6710b0_0
libedit=3.1.20181209=hc058e9b_0
libffi=3.2.1=hd88cf55_4
libgcc=7.2.0=h69d50b8_2
libgcc-ng=9.1.0=hdf63c60_0
libgfortran-ng=7.3.0=hdf63c60_0
libpng=1.6.37=hbc83047_0
libprotobuf=3.11.2=hd408876_0
libsodium=1.0.16=h1bed415_0
libstdcxx-ng=9.1.0=hdf63c60_0
libtiff=4.1.0=h2733197_0
libuuid=1.0.3=h1bed415_2
libxcb=1.13=h1bed415_1
libxml2=2.9.9=hea5a465_1
markdown=3.1.1=py37_0
markupsafe=1.1.1=py37h7b6447c_0
matplotlib=3.1.1=py37h5429711_0
mistune=0.8.4=py37h7b6447c_0
mkl=2019.4=243
mkl-service=2.3.0=py37he904b0f_0
mkl_fft=1.0.15=py37ha843d7b_0
mkl_random=1.1.0=py37hd6b4f25_0
more-itertools=8.0.2=py_0
nbconvert=5.6.1=py37_0
nbformat=4.4.0=py37_0
ncurses=6.1=he6710b0_1
neat-python=0.92=pypi_0
ninja=1.9.0=py37hfd86e86_0
nodejs=6.13.1=0
notebook=6.0.2=py37_0
numpy=1.18.1=pypi_0
numpy-base=1.19.1=py37hfa32c7d_0
olefile=0.46=py37_0
opencv-python=4.1.1.26=pypi_0
openjdk=11.0.1=h14c3975_1014
openssl=1.1.1h=h516909a_0
opt_einsum=3.1.0=py_0
pandas=0.25.3=py37he6710b0_0
pandoc=2.2.3.2=0
pandocfilters=1.4.2=py37_1
parso=0.5.2=py_0
pcre=8.43=he6710b0_0
pexpect=4.7.0=py37_0
pickleshare=0.7.5=py37_0
pillow=6.2.1=py37h34e0f95_0
pip=19.3.1=py37_0
prometheus_client=0.7.1=py_0
prompt_toolkit=3.0.2=py_0
protobuf=3.11.2=py37he6710b0_0
ptyprocess=0.6.0=py37_0
pycparser=2.19=py37_0
pyglet=1.4.10=pypi_0
pygments=2.5.2=py_0
pyparsing=2.4.5=py_0
pyqt=5.9.2=py37h05f1152_2
pyrsistent=0.15.6=py37h7b6447c_0
python=3.7.3=h0371630_0
python-dateutil=2.8.1=py_0
python_abi=3.7=1_cp37m
pytorch=1.3.1=py3.7_cuda10.1.243_cudnn7.6.3_0
pytz=2019.3=py_0
pyyaml=5.3=pypi_0
pyzmq=18.1.0=py37he6710b0_0
qt=5.9.7=h5867ecd_1
qtconsole=4.6.0=py_1
readline=7.0=h7b6447c_5
scipy=1.3.1=pypi_0
send2trash=1.5.0=py37_0
setuptools=42.0.2=py37_0
sip=4.19.8=py37hf484d3e_0
six=1.13.0=py37_0
sqlite=3.30.1=h7b6447c_0
tensorboard=2.0.0=pyhb38c66f_1
tensorflow=2.0.0=mkl_py37h66b46cc_0
tensorflow-base=2.0.0=mkl_py37h9204916_0
tensorflow-estimator=2.0.0=pyh2649769_0
termcolor=1.1.0=py37_1
terminado=0.8.3=py37_0
testpath=0.4.4=py_0
tk=8.6.8=hbc83047_0
torchvision=0.4.2=py37_cu101
tornado=6.0.3=py37h7b6447c_0
tqdm=4.40.2=pypi_0
traitlets=4.3.3=py37_0
wcwidth=0.1.7=py37_0
webencodings=0.5.1=py37_1
werkzeug=0.16.0=py_0
wheel=0.33.6=py37_0
widgetsnbextension=3.5.1=py37_0
wrapt=1.11.2=py37h7b6447c_0
xvfbwrapper=0.2.9=pypi_0
xz=5.2.4=h14c3975_4
zeromq=4.3.1=he6710b0_3
zipp=0.6.0=py_0
zlib=1.2.11=h7b6447c_3
zstd=1.3.7=h0b5b093_0