ml-tc-gpu-linux-64.lock

# Generated by conda-lock.
# platform: linux-64
# input_hash: 185941376767905fedb0af8d2f25978c303ccc2eda81d1c109c46255827a9dbb
@EXPLICIT
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https://repo.anaconda.com/pkgs/main/noarch/jupyter_client-7.0.6-pyhd3eb1b0_0.conda#8148dd0a82f183ad3a6addfbc06069e2
https://repo.anaconda.com/pkgs/main/linux-64/numpy-base-1.19.2-py39h2ae0177_0.conda#562eca207b22a6681475f5cc88066d31
https://repo.anaconda.com/pkgs/main/linux-64/pip-21.2.4-py39h06a4308_0.conda#74bcf27ebb94020ea1c838279382cadf
https://repo.anaconda.com/pkgs/main/noarch/pygments-2.10.0-pyhd3eb1b0_0.conda#b067ae4115e6d884f47572ba8b77a30e
https://repo.anaconda.com/pkgs/main/linux-64/ipython-7.29.0-py39hb070fc8_0.conda#1679d14f6ec6af05468309373b16c6f4
https://repo.anaconda.com/pkgs/main/noarch/jsonschema-3.2.0-pyhd3eb1b0_2.conda#f99ed6aed7a8640afc5eda05ad5cc03f
https://repo.anaconda.com/pkgs/main/noarch/jupyterlab_pygments-0.1.2-py_0.conda#af46aff4922ca45df6ba19b313df6070
https://repo.anaconda.com/pkgs/main/linux-64/mkl_random-1.0.2-py39h63df603_0.conda#cb7d56b724c6475c64d9f83c7e60ceee
https://repo.anaconda.com/pkgs/main/noarch/pyopenssl-21.0.0-pyhd3eb1b0_1.conda#746be81549dbafdd5de39bba883006a1
https://repo.anaconda.com/pkgs/main/linux-64/ipykernel-6.4.1-py39h06a4308_1.conda#bfb323ce72a0787939d2412529a8063f
https://repo.anaconda.com/pkgs/main/noarch/nbformat-5.1.3-pyhd3eb1b0_0.conda#d8b6b5ed39758cfac0c13000fbea7f2e
https://repo.anaconda.com/pkgs/main/noarch/urllib3-1.26.7-pyhd3eb1b0_0.conda#e17184b31cca4681ee0ab27abf546987
https://repo.anaconda.com/pkgs/main/noarch/nbclient-0.5.3-pyhd3eb1b0_0.conda#b92330415e6f74136f059edc992586f7
https://repo.anaconda.com/pkgs/main/noarch/requests-2.26.0-pyhd3eb1b0_0.conda#29d0283ebbb15ec55e7b61f1bf75328d
https://repo.anaconda.com/pkgs/main/linux-64/nbconvert-6.1.0-py39h06a4308_0.conda#1097c2e4f3b0d085cbb08755631b3c72
https://repo.anaconda.com/pkgs/main/linux-64/jupyter_server-1.4.1-py39h06a4308_0.conda#96044b502366d838feb0e5dc9c719ae6
https://repo.anaconda.com/pkgs/main/linux-64/notebook-6.4.6-py39h06a4308_0.conda#7ef24660c112218591231669de098ae1
https://repo.anaconda.com/pkgs/main/noarch/jupyterlab_server-2.8.2-pyhd3eb1b0_0.conda#c3a0754ef76ed5076754a76dc406c1e9
https://repo.anaconda.com/pkgs/main/noarch/nbclassic-0.2.6-pyhd3eb1b0_0.conda#f704f65d82c2e9061f47a351bd770d79
https://repo.anaconda.com/pkgs/main/noarch/jupyterlab-3.2.1-pyhd3eb1b0_1.conda#79188c184d6788bade27fc7f2ed43276
https://repo.anaconda.com/pkgs/main/linux-64/bottleneck-1.3.2-py39hdd57654_1.conda#b88c90705a1a4eb1a2463bccd7e879a7
https://repo.anaconda.com/pkgs/main/linux-64/matplotlib-3.5.0-py39h06a4308_0.conda#84b7f90772548c8fe7e0cab7e8a1e6ad
https://repo.anaconda.com/pkgs/main/linux-64/matplotlib-base-3.5.0-py39h3ed280b_0.conda#66981126290aa32ff89a9f91c03f29a1
https://repo.anaconda.com/pkgs/main/linux-64/mkl_fft-1.3.0-py39h54f3939_0.conda#89501dfd25438e3e2d22b74af169cde4
https://repo.anaconda.com/pkgs/main/linux-64/numpy-1.19.2-py39h89c1606_0.conda#93324e78be8981e874c28d3c2ba089ee
https://repo.anaconda.com/pkgs/main/linux-64/numexpr-2.7.3-py39hb2eb853_0.conda#366f852bb183565ce05188dc1a0c226f
https://repo.anaconda.com/pkgs/main/linux-64/scipy-1.6.2-py39h91f5cce_0.conda#c7a9a6001b3fbb3e4ad04d2f6e19dbce
https://conda.anaconda.org/pytorch/linux-64/torchvision-0.11.1-py39_cu113.tar.bz2#b8eb2813470f3c87c1a07deb8b47ba42
https://repo.anaconda.com/pkgs/main/linux-64/pandas-1.3.4-py39h8c16a72_0.conda#f0c533fb12d7adeba1989c9654182dc7
https://repo.anaconda.com/pkgs/main/noarch/xarray-0.19.0-pyhd3eb1b0_1.conda#03b7e26019b1baa5c51506034bfd5838