Reproducible Research: Managing Containers

###################################################
################# BASE IMAGE START ################
###################################################

# Dockerfile for base image of all pangeo images
FROM ubuntu:22.04
# build file for pangeo images

LABEL org.opencontainers.image.source=https://github.com/pangeo-data/pangeo-docker-images

# Setup environment to match variables set by repo2docker as much as possible
# The name of the conda environment into which the requested packages are installed
ENV CONDA_ENV=notebook \
    # Tell apt-get to not block installs by asking for interactive human input
    DEBIAN_FRONTEND=noninteractive \
    # Set username, uid and gid (same as uid) of non-root user the container will be run as
    NB_USER=jovyan \
    NB_UID=1000 \
    # Use /bin/bash as shell, not the default /bin/sh (arrow keys, etc don't work then)
    SHELL=/bin/bash \
    # Setup locale to be UTF-8, avoiding gnarly hard to debug encoding errors
    LANG=C.UTF-8  \
    LC_ALL=C.UTF-8 \
    # Install conda in the same place repo2docker does
    CONDA_DIR=/srv/conda

# All env vars that reference other env vars need to be in their own ENV block
# Path to the python environment where the jupyter notebook packages are installed
ENV NB_PYTHON_PREFIX=${CONDA_DIR}/envs/${CONDA_ENV} \
    # Home directory of our non-root user
    HOME=/home/${NB_USER}

# Add both our notebook env as well as default conda installation to $PATH
# Thus, when we start a `python` process (for kernels, or notebooks, etc),
# it loads the python in the notebook conda environment, as that comes
# first here.
ENV PATH=${NB_PYTHON_PREFIX}/bin:${CONDA_DIR}/bin:${PATH}

# Ask dask to read config from ${CONDA_DIR}/etc rather than
# the default of /etc, since the non-root jovyan user can write
# to ${CONDA_DIR}/etc but not to /etc
ENV DASK_ROOT_CONFIG=${CONDA_DIR}/etc

RUN echo "Creating ${NB_USER} user..." \
    # Create a group for the user to be part of, with gid same as uid
    && groupadd --gid ${NB_UID} ${NB_USER}  \
    # Create non-root user, with given gid, uid and create $HOME
    && useradd --create-home --gid ${NB_UID} --no-log-init --uid ${NB_UID} ${NB_USER} \
    # Make sure that /srv is owned by non-root user, so we can install things there
    && chown -R ${NB_USER}:${NB_USER} /srv

# Run conda activate each time a bash shell starts, so users don't have to manually type conda activate
# Note this is only read by shell, but not by the jupyter notebook - that relies
# on us starting the correct `python` process, which we do by adding the notebook conda environment's
# bin to PATH earlier ($NB_PYTHON_PREFIX/bin)
RUN echo ". ${CONDA_DIR}/etc/profile.d/conda.sh ; conda activate ${CONDA_ENV}" > /etc/profile.d/init_conda.sh

# Install basic apt packages
RUN echo "Installing Apt-get packages..." \
    && apt-get update --fix-missing > /dev/null \
    && apt-get install -y apt-utils wget zip tzdata > /dev/null \
    && apt-get clean \
    && rm -rf /var/lib/apt/lists/*

# Add TZ configuration - https://github.com/PrefectHQ/prefect/issues/3061
ENV TZ UTC
# ========================

USER ${NB_USER}
WORKDIR ${HOME}

# Install latest mambaforge in ${CONDA_DIR}
RUN echo "Installing Mambaforge..." \
    && URL="https://github.com/conda-forge/miniforge/releases/latest/download/Mambaforge-Linux-x86_64.sh" \
    && wget --quiet ${URL} -O installer.sh \
    && /bin/bash installer.sh -u -b -p ${CONDA_DIR} \
    && rm installer.sh \
    && mamba install conda-lock -y \
    && mamba clean -afy \
    # After installing the packages, we cleanup some unnecessary files
    # to try reduce image size - see https://jcristharif.com/conda-docker-tips.html
    # Although we explicitly do *not* delete .pyc files, as that seems to slow down startup
    # quite a bit unfortunately - see https://github.com/2i2c-org/infrastructure/issues/2047
    && find ${CONDA_DIR} -follow -type f -name '*.a' -delete

EXPOSE 8888
ENTRYPOINT ["/srv/start"]
#CMD ["jupyter", "notebook", "--ip", "0.0.0.0"]

# We use ONBUILD (https://docs.docker.com/engine/reference/builder/#onbuild)
# to support triggering certain behavior when specific files exist in the directories of our
# child images (such as base-notebook, pangeo-notebook, etc). For example,
# in pangeo-notebook/Dockerfile, we *only* inherit from base-image:master, and
# that triggers all these ONBUILD directives - it is as if these ONBUILD
# directives are located inside pangeo-notebook/Dockerfile. This lets us
# keep the Dockerfiles for our child docker images simple, and customize
# them by just adding files with known names to them. This is
# to *mimic* the repo2docker behavior, where users can just add
# environment.yml, requirements.txt, apt.txt etc files to get certain
# behavior without having to understand how Dockerfiles work. We use
# ONBUILD to support a subset of the files that repo2docker supports.
# We do not use repo2docker itself here, to make the images much smaller
# and easier to reason about.
# ----------------------
ONBUILD USER root
# FIXME (?): user and home folder is hardcoded for now
# FIXME (?): this line breaks the cache of all steps below
ONBUILD COPY --chown=jovyan:jovyan . /home/jovyan

# repo2docker will load files from a .binder or binder directory if
# present. We check if those directories exist, and print a diagnostic
# message here.
ONBUILD RUN echo "Checking for 'binder' or '.binder' subfolder" \
        ; if [ -d binder ] ; then \
        echo "Using 'binder/' build context" \
        ; elif [ -d .binder ] ; then \
        echo "Using '.binder/' build context" \
        ; else \
        echo "Using './' build context" \
        ; fi

# Install apt packages specified in a apt.txt file if it exists.
# Unlike repo2docker, blank lines nor comments are supported here.
ONBUILD RUN echo "Checking for 'apt.txt'..." \
        ; [ -d binder ] && cd binder \
        ; [ -d .binder ] && cd .binder \
        ; if test -f "apt.txt" ; then \
        apt-get update --fix-missing > /dev/null \
        # Read apt.txt line by line, and execute apt-get install -y for each line in apt.txt
        && xargs -a apt.txt apt-get install -y \
        && apt-get clean \
        && rm -rf /var/lib/apt/lists/* \
        ; fi

# If a jupyter_notebook_config.py exists, copy it to /etc/jupyter so
# it will be read by jupyter processes when they start. This feature is
# not available in repo2docker.
ONBUILD RUN echo "Checking for 'jupyter_notebook_config.py'..." \
        ; [ -d binder ] && cd binder \
        ; [ -d .binder ] && cd .binder \
        ; if test -f "jupyter_notebook_config.py" ; then \
        mkdir -p /etc/jupyter \
        && cp jupyter_notebook_config.py /etc/jupyter \
        ; fi

ONBUILD USER ${NB_USER}

# We want to keep our images as reproducible as possible. If a lock
# file with exact versions of all required packages is present, we use
# it to install packages. conda-lock (https://github.com/conda-incubator/conda-lock)
# is used to generate this conda-linux-64.lock file from a given environment.yml
# file - so we get the exact same versions each time the image is built. This
# also lets us see what packages have changed between two images by diffing
# the contents of the lock file between those image versions.
# If a lock file is not present, we use the environment.yml file. And
# if that is also not present, we use the pangeo-notebook conda-forge
# package (https://anaconda.org/conda-forge/pangeo-notebook) to install
# a list of base packages.
# After installing the packages, we cleanup some unnecessary files
# to try reduce image size - see https://jcristharif.com/conda-docker-tips.html
ONBUILD RUN echo "Checking for 'conda-lock.yml' 'conda-linux-64.lock' or 'environment.yml'..." \
        ; [ -d binder ] && cd binder \
        ; [ -d .binder ] && cd .binder \
        ; if test -f "conda-lock.yml" ; then \
        conda-lock install --name ${CONDA_ENV} conda-lock.yml \
        ; elif test -f "conda-linux-64.lock" ; then \
        mamba create --name ${CONDA_ENV} --file conda-linux-64.lock \
        ; elif test -f "environment.yml" ; then \
        mamba env create --name ${CONDA_ENV} -f environment.yml  \
        ; else echo "No conda-lock.yml, conda-linux-64.lock, or environment.yml! *creating default env*" ; \
        mamba create --name ${CONDA_ENV} pangeo-notebook \
        ; fi \
        && mamba clean -yaf \
        && find ${CONDA_DIR} -follow -type f -name '*.a' -delete \
        && find ${CONDA_DIR} -follow -type f -name '*.js.map' -delete \
        ; if [ -d ${NB_PYTHON_PREFIX}/lib/python*/site-packages/bokeh/server/static ]; then \
        find ${NB_PYTHON_PREFIX}/lib/python*/site-packages/bokeh/server/static -follow -type f -name '*.js' ! -name '*.min.js' -delete \
        ; fi

# If a requirements.txt file exists, use pip to install packages
# listed there. We don't want to save cached wheels in the image
# to avoid wasting space.
ONBUILD RUN echo "Checking for pip 'requirements.txt'..." \
        ; [ -d binder ] && cd binder \
        ; [ -d .binder ] && cd .binder \
        ; if test -f "requirements.txt" ; then \
        ${NB_PYTHON_PREFIX}/bin/pip install --no-cache -r requirements.txt \
        ; fi

# If a postBuild file exists, run it!
# After it's done, we try to remove any possible cruft commands there
# leave behind under $HOME - particularly stuff that jupyterlab extensions
# leave behind.
ONBUILD RUN echo "Checking for 'postBuild'..." \
        ; [ -d binder ] && cd binder \
        ; [ -d .binder ] && cd .binder \
        ; if test -f "postBuild" ; then \
        chmod +x postBuild \
        && ./postBuild \
        && rm -rf /tmp/* \
        && rm -rf ${HOME}/.cache ${HOME}/.npm ${HOME}/.yarn \
        && rm -rf ${NB_PYTHON_PREFIX}/share/jupyter/lab/staging \
        && find ${CONDA_DIR} -follow -type f -name '*.a' -delete \
        && find ${CONDA_DIR} -follow -type f -name '*.js.map' -delete \
        ; fi

# If a start file exists, put that under /srv/start. Used in the
# same way as a start file in repo2docker.
ONBUILD RUN echo "Checking for 'start'..." \
        ; [ -d binder ] && cd binder \
        ; [ -d .binder ] && cd .binder \
        ; if test -f "start" ; then \
        chmod +x start \
        && cp start /srv/start \
        ; fi
# ----------------------

################# BASE IMAGE END ##################


###################################################
################ ML-NOTEBOOK START ################
###################################################

# ONBUILD instructions in base-image/Dockerfile are used to
# perform certain actions based on the presence of specific
# files (such as conda-linux-64.lock, start) in this repo.
# Refer to the base-image/Dockerfile for documentation.
ARG PANGEO_BASE_IMAGE_TAG=master
FROM pangeo/base-image:${PANGEO_BASE_IMAGE_TAG}

# Required for nvidia drivers to work inside the image on GKE
# No-ops on other platforms - Azure doesn't need these set.
# Shouldn't negatively affect anyone, and makes life easier on GKE.
ENV PATH=${PATH}:/usr/local/nvidia/bin
ENV LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/local/nvidia/lib64

################ ML-NOTEBOOK END ##################


###################################################
############# REQUIREMENTS.TXT START ##############
###################################################

# List of packages and versions installed in the environment
# Generated by parsing conda-linux-64.lock, please use that as source of truth
_libgcc_mutex==0.1
_openmp_mutex==4.5
_py-xgboost-mutex==2.0
absl-py==1.4.0
adal==1.2.7
adlfs==2024.2.0
affine==2.4.0
aiobotocore==2.11.2
aiohttp==3.9.3
aioitertools==0.11.0
aiosignal==1.3.1
alembic==1.13.1
annotated-types==0.6.0
anyio==3.7.1
aom==3.7.1
appdirs==1.4.4
argon2-cffi==23.1.0
argon2-cffi-bindings==21.2.0
argopy==0.1.14
arrow==1.3.0
asciitree==0.3.3
astropy==6.0.0
astropy-iers-data==0.2024.2.26.0.28.55
asttokens==2.4.1
astunparse==1.6.3
async-lru==2.0.4
async_generator==1.10
atk-1.0==2.38.0
attrs==23.2.0
av==11.0.0
aws-c-auth==0.7.3
aws-c-cal==0.6.1
aws-c-common==0.9.0
aws-c-compression==0.2.17
aws-c-event-stream==0.3.1
aws-c-http==0.7.11
aws-c-io==0.13.32
aws-c-mqtt==0.9.3
aws-c-s3==0.3.14
aws-c-sdkutils==0.1.12
aws-checksums==0.1.17
aws-crt-cpp==0.21.0
aws-sdk-cpp==1.10.57
awscli==2.13.39
awscrt==0.19.0
azure-core==1.30.0
azure-datalake-store==0.0.51
azure-identity==1.15.0
azure-storage-blob==12.19.0
babel==2.14.0
beautifulsoup4==4.12.3
binutils==2.40
binutils_impl_linux-64==2.40
binutils_linux-64==2.40
black==24.2.0
bleach==6.1.0
blinker==1.7.0
blosc==1.21.5
bokeh==3.3.4
boltons==23.1.1
boto3==1.34.34
botocore==1.34.34
bottleneck==1.3.8
bounded-pool-executor==0.0.3
branca==0.7.1
brotli==1.0.9
brotli-bin==1.0.9
brotli-python==1.0.9
bzip2==1.0.8
c-ares==1.27.0
c-compiler==1.7.0
ca-certificates==2024.2.2
cached-property==1.5.2
cached_property==1.5.2
cachetools==5.3.3
cachey==0.2.1
cairo==1.18.0
cartopy==0.22.0
cdsapi==0.6.1
certifi==2024.2.2
certipy==0.1.3
cf_xarray==0.9.0
cffi==1.16.0
cfgrib==0.9.10.4
cfitsio==4.3.1
cftime==1.6.3
cgen==2020.1
charset-normalizer==3.3.2
chex==0.1.83
ciso==0.2.0
click==8.1.7
click-plugins==1.1.1
cligj==0.7.2
cloudpickle==3.0.0
cmocean==3.1.3
colorama==0.4.6
colorcet==3.0.1
colorspacious==1.1.2
comm==0.2.1
configobj==5.0.8
contourpy==1.2.0
cryptography==40.0.2
cuda-version==11.8
cudatoolkit==11.8.0
cudnn==8.8.0.121
cycler==0.12.1
cython==3.0.8
cytoolz==0.12.3
dask==2024.2.1
dask-core==2024.2.1
dask-gateway==2024.1.0
dask-glm==0.3.2
dask-labextension==7.0.0
dask-ml==2023.3.24
datashader==0.16.0
dav1d==1.2.1
debugpy==1.8.1
decorator==5.1.1
defusedxml==0.7.1
descartes==1.1.0
dill==0.3.8
distributed==2024.2.1
distro==1.8.0
dm-tree==0.1.8
docopt==0.6.2
docrep==0.3.2
docutils==0.19
donfig==0.8.1.post0
earthaccess==0.8.2
eccodes==2.34.1
entrypoints==0.4
eofs==1.4.1
erddapy==2.2.0
esmf==8.6.0
esmpy==8.6.0
etils==1.7.0
exceptiongroup==1.2.0
executing==2.0.1
expat==2.5.0
fastapi==0.110.0
fasteners==0.17.3
fastjmd95==0.2.1
fastprogress==1.0.3
ffmpeg==6.1.1
findlibs==0.0.5
fiona==1.9.5
flatbuffers==23.5.26
flax==0.6.1
flox==0.9.2
folium==0.15.1
font-ttf-dejavu-sans-mono==2.37
font-ttf-inconsolata==3.000
font-ttf-source-code-pro==2.038
font-ttf-ubuntu==0.83
fontconfig==2.14.2
fonts-conda-ecosystem==1
fonts-conda-forge==1
fonttools==4.49.0
fqdn==1.5.1
freeglut==3.2.2
freetype==2.12.1
freexl==2.0.0
fribidi==1.0.10
frozenlist==1.4.1
fsspec==2023.12.2
future==1.0.0
gast==0.5.4
gcc==12.3.0
gcc_impl_linux-64==12.3.0
gcc_linux-64==12.3.0
gcm_filters==0.3.0
gcsfs==2023.12.2.post1
gdal==3.8.1
gdk-pixbuf==2.42.10
geocube==0.5.0
geographiclib==1.52
geopandas==0.14.3
geopandas-base==0.14.3
geopy==2.4.1
geos==3.12.1
geotiff==1.7.1
geoviews-core==1.11.1
gettext==0.21.1
gflags==2.2.2
gh==2.43.1
gh-scoped-creds==4.1
giflib==5.2.1
git-lfs==3.4.1
gitdb==4.0.11
gitpython==3.1.42
glog==0.6.0
gmp==6.3.0
gnutls==3.7.9
google-api-core==2.17.1
google-auth==2.28.1
google-auth-oauthlib==1.0.0
google-cloud-core==2.4.1
google-cloud-storage==2.14.0
google-crc32c==1.1.2
google-pasta==0.2.0
google-resumable-media==2.7.0
googleapis-common-protos==1.62.0
graphite2==1.3.13
graphviz==9.0.0
greenlet==3.0.3
grpcio==1.54.3
gsw==3.6.17
gtk2==2.24.33
gts==0.7.6
h11==0.14.0
h2==4.1.0
h3-py==3.7.6
h5netcdf==1.3.0
h5py==3.10.0
harfbuzz==8.3.0
hdf4==4.2.15
hdf5==1.14.3
heapdict==1.0.1
holoviews==1.18.3
hpack==4.0.0
httpcore==1.0.4
httpx==0.27.0
hvplot==0.9.2
hyperframe==6.0.1
icu==73.2
idna==3.6
imagecodecs-lite==2019.12.3
imageio==2.34.0
importlib-metadata==7.0.1
importlib_metadata==7.0.1
importlib_resources==6.1.2
iniconfig==2.0.0
intake==2.0.3
intake-esm==2023.11.10
intake-geopandas==0.4.0
intake-stac==0.4.0
intake-xarray==0.7.0
ipdb==0.13.13
ipykernel==6.29.3
ipyleaflet==0.18.2
ipyspin==1.0.1
ipython==8.17.2
ipytree==0.2.2
ipyurl==0.1.2
ipywidgets==8.1.2
isodate==0.6.1
isoduration==20.11.0
jasper==4.2.1
jax==0.4.13
jaxlib==0.4.12
jedi==0.19.1
jinja2==3.1.3
jmespath==1.0.1
joblib==1.3.2
json-c==0.17
json5==0.9.17
jsonpickle==3.0.2
jsonpointer==2.4
jsonschema==4.21.1
jsonschema-specifications==2023.12.1
jsonschema-with-format-nongpl==4.21.1
jupyter-lsp==2.2.3
jupyter-panel-proxy==0.1.0
jupyter-resource-usage==1.0.1
jupyter-server-mathjax==0.2.6
jupyter-server-proxy==4.1.0
jupyter_client==8.6.0
jupyter_core==5.7.1
jupyter_events==0.9.0
jupyter_server==2.12.5
jupyter_server_terminals==0.5.2
jupyter_server_xarray_leaflet==0.2.3
jupyter_telemetry==0.1.0
jupyterhub-base==4.0.2
jupyterhub-singleuser==4.0.2
jupyterlab==4.1.2
jupyterlab-git==0.50.0
jupyterlab-myst==2.3.1
jupyterlab-nvdashboard==0.4.0
jupyterlab_code_formatter==2.2.1
jupyterlab_pygments==0.3.0
jupyterlab_server==2.25.3
jupyterlab_widgets==3.0.10
kagglehub==0.1.9
kealib==1.5.3
keras==2.14.0
keras-core==0.1.7
keras-cv==0.8.2
kerchunk==0.2.3
kernel-headers_linux-64==2.6.32
keyutils==1.6.1
kiwisolver==1.4.5
krb5==1.21.2
lame==3.100
lazy_loader==0.3
lcms2==2.16
ld_impl_linux-64==2.40
lerc==4.0.0
libabseil==20230125.3
libaec==1.1.2
libarchive==3.7.2
libarrow==12.0.1
libass==0.17.1
libblas==3.9.0
libboost-headers==1.84.0
libbrotlicommon==1.0.9
libbrotlidec==1.0.9
libbrotlienc==1.0.9
libcblas==3.9.0
libcrc32c==1.1.2
libcurl==8.5.0
libdeflate==1.19
libdrm==2.4.120
libedit==3.1.20191231
libev==4.33
libevent==2.1.12
libexpat==2.5.0
libffi==3.4.2
libgcc-devel_linux-64==12.3.0
libgcc-ng==13.2.0
libgcrypt==1.10.3
libgd==2.3.3
libgdal==3.8.1
libgfortran-ng==13.2.0
libgfortran5==13.2.0
libgirepository==1.78.1
libglib==2.78.4
libglu==9.0.0
libgomp==13.2.0
libgoogle-cloud==2.12.0
libgpg-error==1.48
libgrpc==1.54.3
libhwloc==2.9.3
libiconv==1.17
libidn2==2.3.7
libjpeg-turbo==3.0.0
libkml==1.3.0
liblapack==3.9.0
libllvm14==14.0.6
libnetcdf==4.9.2
libnghttp2==1.58.0
libnsl==2.0.1
libnuma==2.0.16
libopenblas==0.3.26
libopenvino==2023.2.0
libopenvino-auto-batch-plugin==2023.2.0
libopenvino-auto-plugin==2023.2.0
libopenvino-hetero-plugin==2023.2.0
libopenvino-intel-cpu-plugin==2023.2.0
libopenvino-intel-gpu-plugin==2023.2.0
libopenvino-ir-frontend==2023.2.0
libopenvino-onnx-frontend==2023.2.0
libopenvino-paddle-frontend==2023.2.0
libopenvino-pytorch-frontend==2023.2.0
libopenvino-tensorflow-frontend==2023.2.0
libopenvino-tensorflow-lite-frontend==2023.2.0
libopus==1.3.1
libpciaccess==0.18
libpnetcdf==1.12.3
libpng==1.6.43
libpq==16.2
libprotobuf==3.21.12
librsvg==2.56.3
librttopo==1.1.0
libsanitizer==12.3.0
libsecret==0.18.8
libsodium==1.0.18
libspatialindex==1.9.3
libspatialite==5.1.0
libsqlite==3.45.1
libssh2==1.11.0
libstdcxx-ng==13.2.0
libtasn1==4.19.0
libthrift==0.18.1
libtiff==4.6.0
libunistring==0.9.10
libutf8proc==2.8.0
libuuid==2.38.1
libuv==1.46.0
libva==2.20.0
libvpx==1.13.1
libwebp==1.3.2
libwebp-base==1.3.2
libxcb==1.15
libxcrypt==4.4.36
libxgboost==2.0.3
libxml2==2.12.5
libxslt==1.1.39
libzip==1.10.1
libzlib==1.2.13
line_profiler==4.1.1
linkify-it-py==2.0.3
llvmlite==0.41.1
locket==1.0.0
lxml==5.1.0
lz4==4.3.3
lz4-c==1.9.4
lzo==2.10
mako==1.3.2
mapclassify==2.6.1
markdown==3.5.2
markdown-it-py==3.0.0
markupsafe==2.1.5
matplotlib-base==3.8.3
matplotlib-inline==0.1.6
mdit-py-plugins==0.4.0
mdurl==0.1.2
memory_profiler==0.61.0
mercantile==1.2.1
metpy==1.6.1
minizip==4.0.4
mistune==3.0.2
ml_dtypes==0.2.0
morecantile==5.3.0
mpi==1.0
mpich==4.2.0
msal==1.27.0
msal_extensions==1.1.0
msgpack-python==1.0.7
multidict==6.0.5
multimethod==1.11
multipledispatch==0.6.0
munkres==1.1.4
mypy_extensions==1.0.0
namex==0.0.7
nb_conda_kernels==2.3.1
nbclient==0.8.0
nbconvert-core==7.16.1
nbdime==4.0.1
nbformat==5.9.2
nbgitpuller==1.2.0
nbstripout==0.7.1
nc-time-axis==1.4.1
nccl==2.20.3.1
ncurses==6.4
nest-asyncio==1.6.0
netcdf-fortran==4.6.1
netcdf4==1.6.5
nettle==3.9.1
networkx==3.2.1
nodejs==20.9.0
noise==1.2.2
notebook==7.1.1
notebook-shim==0.2.4
nspr==4.35
nss==3.98
numba==0.58.1
numbagg==0.8.0
numcodecs==0.11.0
numpy==1.26.4
numpy_groupies==0.10.2
oauthlib==3.2.2
ocl-icd==2.3.2
ocl-icd-system==1.0.0
odc-geo==0.4.2
odc-stac==0.3.9
openh264==2.4.0
openjpeg==2.5.1
openssl==3.2.1
opt_einsum==3.3.0
optax==0.1.9
orc==1.9.0
overrides==7.7.0
p11-kit==0.24.1
packaging==23.2
pamela==1.1.0
pandas==2.2.1
pandocfilters==1.5.0
panel==1.3.8
pangeo-dask==2024.02.27
pangeo-notebook==2024.02.27
pango==1.52.0
parallelio==2.6.2
param==2.0.2
parcels==3.0.2
parso==0.8.3
partd==1.4.1
pathspec==0.12.1
patsy==0.5.6
pcre2==10.42
pexpect==4.9.0
pickleshare==0.7.5
pillow==10.2.0
pint==0.23
pint-xarray==0.3
pip==24.0
pixman==0.43.2
pkgutil-resolve-name==1.3.10
platformdirs==4.2.0
pluggy==1.4.0
pooch==1.8.1
pop-tools==2023.6.0
poppler==23.12.0
poppler-data==0.4.12
portalocker==2.8.2
postgresql==16.2
pqdm==0.2.0
proj==9.3.1
prometheus_client==0.20.0
promise==2.3
prompt-toolkit==3.0.38
prompt_toolkit==3.0.38
properscoring==0.1
protobuf==4.21.12
psutil==5.9.8
pthread-stubs==0.4
ptyprocess==0.7.0
pugixml==1.14
pure_eval==0.2.2
py-xgboost==2.0.3
pyarrow==12.0.1
pyarrow-hotfix==0.6
pyasn1==0.5.1
pyasn1-modules==0.3.0
pycairo==1.26.0
pycamhd==0.7.0
pycparser==2.21
pyct==0.4.6
pyct-core==0.4.6
pydantic==2.6.2
pydantic-core==2.16.3
pydap==3.4.0
pyerfa==2.0.1.1
pygments==2.17.2
pygobject==3.46.0
pyjwt==2.8.0
pykdtree==1.3.11
pymbolic==2022.2
pynvml==11.5.0
pyopenssl==23.1.1
pyorbital==1.8.2
pyparsing==3.1.1
pyproj==3.6.1
pyresample==1.28.1
pyshp==2.3.1
pysocks==1.7.1
pyspectral==0.13.0
pystac==1.9.0
pystac-client==0.7.5
pytest==8.0.2
python==3.11.8
python-blosc==1.10.6
python-cmr==0.9.0
python-dateutil==2.8.2
python-eccodes==1.7.0
python-fastjsonschema==2.19.1
python-flatbuffers==23.5.26
python-geotiepoints==1.7.2
python-gist==0.10.6
python-gnupg==0.4.9
python-graphviz==0.20.1
python-json-logger==2.0.7
python-tzdata==2024.1
python-xxhash==3.4.1
python_abi==3.11
pytools==2023.1.1
pytz==2024.1
pyu2f==0.1.5
pyviz_comms==3.0.1
pywavelets==1.4.1
pyyaml==6.0.1
pyzmq==25.1.2
rasterio==1.3.9
rdma-core==28.9
re2==2023.03.02
readline==8.2
rechunker==0.5.2
referencing==0.33.0
regex==2023.12.25
requests==2.31.0
requests-oauthlib==1.3.1
rfc3339-validator==0.1.4
rfc3986-validator==0.1.1
rich==13.7.0
rio-cogeo==5.2.0
rioxarray==0.15.1
roaring-landmask==0.7.1
rpds-py==0.18.0
rsa==4.9
rtree==1.2.0
ruamel.yaml==0.17.21
ruamel.yaml.clib==0.2.7
s2n==1.3.49
s3fs==2023.12.2
s3transfer==0.10.0
satpy==0.47.0
scikit-image==0.20.0
scikit-learn==1.4.1.post1
scipy==1.12.0
seaborn==0.13.2
seaborn-base==0.13.2
send2trash==1.8.2
setuptools==69.1.1
shapely==2.0.3
simpervisor==1.0.0
six==1.16.0
smmap==5.0.0
snakeviz==2.2.0
snappy==1.1.10
sniffio==1.3.1
snuggs==1.4.7
sortedcontainers==2.4.0
soupsieve==2.5
sparse==0.15.1
sqlalchemy==2.0.27
sqlite==3.45.1
stack_data==0.6.2
stackstac==0.5.0
starlette==0.36.3
statsmodels==0.14.1
svt-av1==1.8.0
sysroot_linux-64==2.12
tbb==2021.11.0
tblib==3.0.0
tensorboard==2.14.1
tensorboard-data-server==0.7.0
tensorflow==2.14.0
tensorflow-base==2.14.0
tensorflow-datasets==4.8.3
tensorflow-estimator==2.14.0
tensorflow-metadata==1.13.1
termcolor==2.4.0
terminado==0.18.0
threadpoolctl==3.3.0
tifffile==2020.6.3
tiledb==2.18.2
tiledb-py==0.24.0
timezonefinder==6.4.1
tinycss2==1.2.1
tinynetrc==1.3.1
tk==8.6.13
toml==0.10.2
tomli==2.0.1
toolz==0.12.1
tornado==6.4
tqdm==4.66.2
traitlets==5.14.1
traittypes==0.2.1
trajan==0.6.0
trollimage==1.23.1
trollsift==0.5.1
types-python-dateutil==2.8.19.20240106
typing-extensions==4.10.0
typing_extensions==4.10.0
typing_utils==0.1.0
tzcode==2024a
tzdata==2024a
uc-micro-py==1.0.3
ucx==1.14.1
ujson==5.9.0
uri-template==1.3.0
uriparser==0.9.7
urllib3==1.26.18
uvicorn==0.27.1
watermark==2.4.3
wcwidth==0.2.13
webcolors==1.13
webencodings==0.5.1
webob==1.8.7
websocket-client==1.7.0
werkzeug==3.0.1
wheel==0.42.0
widgetsnbextension==4.0.10
wrapt==1.14.1
x264==1!164.3095
x265==3.5
xarray==2024.2.0
xarray-datatree==0.0.14
xarray-spatial==0.3.5
xarray_leaflet==0.2.3
xarrayutils==2.0.0
xbatcher==0.3.0
xcape==0.1.4
xclim==0.48.2
xerces-c==3.2.5
xesmf==0.8.4
xgboost==2.0.3
xgcm==0.8.1
xhistogram==0.3.2
xmip==0.7.2
xmitgcm==0.5.2
xorg-fixesproto==5.0
xorg-inputproto==2.3.2
xorg-kbproto==1.0.7
xorg-libice==1.1.1
xorg-libsm==1.2.4
xorg-libx11==1.8.7
xorg-libxau==1.0.11
xorg-libxdmcp==1.1.3
xorg-libxext==1.3.4
xorg-libxfixes==5.0.3
xorg-libxi==1.7.10
xorg-libxrender==0.9.11
xorg-renderproto==0.11.1
xorg-xextproto==7.3.0
xorg-xproto==7.0.31
xpublish==0.3.3
xrft==1.0.1
xskillscore==0.0.24
xxhash==0.8.2
xyzservices==2023.10.1
xz==5.2.6
yamale==4.0.4
yaml==0.2.5
yarl==1.9.4
zarr==2.17.0
zeromq==4.3.5
zict==3.0.0
zipp==3.17.0
zlib==1.2.13
zstd==1.5.5

############### REQUIREMENTS.TXT END ##############

...  # And there's still a lot more required for this Docker Image...