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chore: Generate build artifacts for 1.5.3 release
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ARG TAG_FOR_BASE_MICROMAMBA_IMAGE | ||
FROM mambaorg/micromamba:$TAG_FOR_BASE_MICROMAMBA_IMAGE | ||
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ARG CUDA_MAJOR_MINOR_VERSION='' | ||
ARG ENV_IN_FILENAME | ||
ARG ARG_BASED_ENV_IN_FILENAME | ||
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ARG AMZN_BASE="/opt/amazon/sagemaker" | ||
ARG DIRECTORY_TREE_STAGE_DIR="${AMZN_BASE}/dir-staging" | ||
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ARG NB_USER="sagemaker-user" | ||
ARG NB_UID=1000 | ||
ARG NB_GID=100 | ||
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ENV SAGEMAKER_LOGGING_DIR="/var/log/sagemaker/" | ||
ENV STUDIO_LOGGING_DIR="/var/log/studio/" | ||
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USER root | ||
RUN usermod "--login=${NB_USER}" "--home=/home/${NB_USER}" --move-home "-u ${NB_UID}" "${MAMBA_USER}" && \ | ||
groupmod "--new-name=${NB_USER}" --non-unique "-g ${NB_GID}" "${MAMBA_USER}" && \ | ||
# Update the expected value of MAMBA_USER for the | ||
# _entrypoint.sh consistency check. | ||
echo "${NB_USER}" > "/etc/arg_mamba_user" && \ | ||
: | ||
ENV MAMBA_USER=$NB_USER | ||
ENV USER=$NB_USER | ||
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RUN apt-get update && \ | ||
apt-get install -y --no-install-recommends sudo gettext-base wget curl unzip git rsync build-essential openssh-client nano && \ | ||
# We just install tzdata below but leave default time zone as UTC. This helps packages like Pandas to function correctly. | ||
DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends tzdata krb5-user libkrb5-dev libsasl2-dev libsasl2-modules && \ | ||
chmod g+w /etc/passwd && \ | ||
echo "ALL ALL=(ALL) NOPASSWD: ALL" >> /etc/sudoers && \ | ||
touch /etc/krb5.conf.lock && chown ${NB_USER}:${MAMBA_USER} /etc/krb5.conf* && \ | ||
# Note that we do NOT run `rm -rf /var/lib/apt/lists/*` here. If we did, anyone building on top of our images will | ||
# not be able to run any `apt-get install` commands and that would hamper customizability of the images. | ||
curl "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip" && \ | ||
unzip awscliv2.zip && \ | ||
sudo ./aws/install && \ | ||
rm -rf aws awscliv2.zip && \ | ||
: | ||
RUN echo "source /usr/local/bin/_activate_current_env.sh" | tee --append /etc/profile | ||
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USER $MAMBA_USER | ||
COPY --chown=$MAMBA_USER:$MAMBA_USER $ENV_IN_FILENAME *.in /tmp/ | ||
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# Make sure that $ENV_IN_FILENAME has a newline at the end before the `tee` command runs. Otherwise, nasty things | ||
# will happen. | ||
RUN if [[ -z $ARG_BASED_ENV_IN_FILENAME ]] ; \ | ||
then echo 'No ARG_BASED_ENV_IN_FILENAME passed' ; \ | ||
else envsubst < /tmp/$ARG_BASED_ENV_IN_FILENAME | tee --append /tmp/$ENV_IN_FILENAME ; \ | ||
fi | ||
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ARG CONDA_OVERRIDE_CUDA=$CUDA_MAJOR_MINOR_VERSION | ||
RUN micromamba install -y --name base --file /tmp/$ENV_IN_FILENAME && \ | ||
micromamba clean --all --yes --force-pkgs-dirs && \ | ||
rm -rf /tmp/*.in | ||
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ARG MAMBA_DOCKERFILE_ACTIVATE=1 | ||
RUN sudo ln -s $(which python3) /usr/bin/python | ||
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# Install glue kernels, and move to shared directory | ||
# Also patching base kernel so Studio background code doesn't start session silently | ||
RUN install-glue-kernels && \ | ||
SITE_PACKAGES=$(pip show aws-glue-sessions | grep Location | awk '{print $2}') && \ | ||
jupyter-kernelspec install $SITE_PACKAGES/aws_glue_interactive_sessions_kernel/glue_pyspark --user && \ | ||
jupyter-kernelspec install $SITE_PACKAGES/aws_glue_interactive_sessions_kernel/glue_spark --user && \ | ||
mv /home/sagemaker-user/.local/share/jupyter/kernels/glue_pyspark /opt/conda/share/jupyter/kernels && \ | ||
mv /home/sagemaker-user/.local/share/jupyter/kernels/glue_spark /opt/conda/share/jupyter/kernels && \ | ||
sed -i '/if not store_history and (/i\ if "sm_analytics_runtime_check" in code:\n return await self._complete_cell()\n' \ | ||
"$SITE_PACKAGES/aws_glue_interactive_sessions_kernel/glue_kernel_base/BaseKernel.py" | ||
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# Patch glue kernels to use kernel wrapper | ||
COPY patch_glue_pyspark.json /opt/conda/share/jupyter/kernels/glue_pyspark/kernel.json | ||
COPY patch_glue_spark.json /opt/conda/share/jupyter/kernels/glue_spark/kernel.json | ||
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USER root | ||
RUN HOME_DIR="/home/${NB_USER}/licenses" \ | ||
&& mkdir -p ${HOME_DIR} \ | ||
&& curl -o ${HOME_DIR}/oss_compliance.zip https://aws-dlinfra-utilities.s3.amazonaws.com/oss_compliance.zip \ | ||
&& unzip ${HOME_DIR}/oss_compliance.zip -d ${HOME_DIR}/ \ | ||
&& cp ${HOME_DIR}/oss_compliance/test/testOSSCompliance /usr/local/bin/testOSSCompliance \ | ||
&& chmod +x /usr/local/bin/testOSSCompliance \ | ||
&& chmod +x ${HOME_DIR}/oss_compliance/generate_oss_compliance.sh \ | ||
&& ${HOME_DIR}/oss_compliance/generate_oss_compliance.sh ${HOME_DIR} python \ | ||
&& rm -rf ${HOME_DIR}/oss_compliance* | ||
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# Merge in OS directory tree contents. | ||
RUN mkdir -p ${DIRECTORY_TREE_STAGE_DIR} | ||
COPY dirs/ ${DIRECTORY_TREE_STAGE_DIR}/ | ||
RUN rsync -a ${DIRECTORY_TREE_STAGE_DIR}/ / && \ | ||
rm -rf ${DIRECTORY_TREE_STAGE_DIR} | ||
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# Create logging directories for supervisor | ||
RUN mkdir -p $SAGEMAKER_LOGGING_DIR && \ | ||
chmod a+rw $SAGEMAKER_LOGGING_DIR && \ | ||
mkdir -p ${STUDIO_LOGGING_DIR} && \ | ||
chown ${NB_USER}:${MAMBA_USER} ${STUDIO_LOGGING_DIR} | ||
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# Create supervisord runtime directory | ||
RUN mkdir -p /var/run/supervisord && \ | ||
chmod a+rw /var/run/supervisord | ||
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USER $MAMBA_USER | ||
ENV PATH="/opt/conda/bin:/opt/conda/condabin:$PATH" | ||
WORKDIR "/home/${NB_USER}" | ||
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# Install Kerberos. | ||
# Make sure no dependency is added/updated | ||
RUN pip install "krb5>=0.5.1,<0.6" && \ | ||
pip show krb5 | grep Require | xargs -i sh -c '[ $(echo {} | cut -d: -f2 | wc -w) -eq 0 ] ' | ||
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# https://stackoverflow.com/questions/122327 | ||
RUN SYSTEM_PYTHON_PATH=$(python3 -c "from __future__ import print_function;import sysconfig; print(sysconfig.get_paths().get('purelib'))") && \ | ||
# Remove SparkRKernel as it's not supported \ | ||
jupyter-kernelspec remove -f -y sparkrkernel && \ | ||
# Patch Sparkmagic lib to support Custom Certificates \ | ||
# https://github.com/jupyter-incubator/sparkmagic/pull/435/files \ | ||
cp -a ${SYSTEM_PYTHON_PATH}/sagemaker_studio_analytics_extension/patches/configuration.py ${SYSTEM_PYTHON_PATH}/sparkmagic/utils/ && \ | ||
cp -a ${SYSTEM_PYTHON_PATH}/sagemaker_studio_analytics_extension/patches/reliablehttpclient.py ${SYSTEM_PYTHON_PATH}/sparkmagic/livyclientlib/reliablehttpclient.py && \ | ||
sed -i 's= "python"= "/opt/conda/bin/python"=g' /opt/conda/share/jupyter/kernels/pysparkkernel/kernel.json /opt/conda/share/jupyter/kernels/sparkkernel/kernel.json && \ | ||
sed -i 's="Spark"="SparkMagic Spark"=g' /opt/conda/share/jupyter/kernels/sparkkernel/kernel.json && \ | ||
sed -i 's="PySpark"="SparkMagic PySpark"=g' /opt/conda/share/jupyter/kernels/pysparkkernel/kernel.json | ||
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ENV SHELL=/bin/bash |
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# This file is auto-generated. | ||
conda-forge::langchain[version='>=0.1.9,<0.2.0'] | ||
conda-forge::fastapi[version='>=0.103.2,<0.104.0'] | ||
conda-forge::uvicorn[version='>=0.27.1,<0.28.0'] | ||
conda-forge::pytorch[version='>=2.0.0,<2.1.0'] | ||
conda-forge::tensorflow[version='>=2.12.1,<2.13.0'] | ||
conda-forge::python[version='>=3.10.13,<3.11.0'] | ||
conda-forge::pip[version='>=23.3.2,<23.4.0'] | ||
conda-forge::torchvision[version='>=0.15.2,<0.16.0'] | ||
conda-forge::numpy[version='>=1.26.4,<1.27.0'] | ||
conda-forge::pandas[version='>=2.1.4,<2.2.0'] | ||
conda-forge::scikit-learn[version='>=1.4.1.post1,<1.5.0'] | ||
conda-forge::jinja2[version='>=3.1.3,<3.2.0'] | ||
conda-forge::matplotlib[version='>=3.8.3,<3.9.0'] | ||
conda-forge::sagemaker-headless-execution-driver[version='>=0.0.12,<0.1.0'] | ||
conda-forge::ipython[version='>=8.21.0,<8.22.0'] | ||
conda-forge::scipy[version='>=1.11.4,<1.12.0'] | ||
conda-forge::keras[version='>=2.12.0,<2.13.0'] | ||
conda-forge::py-xgboost-cpu[version='>=1.7.6,<1.8.0'] | ||
conda-forge::jupyterlab[version='>=4.1.2,<4.2.0'] | ||
conda-forge::ipywidgets[version='>=8.1.2,<8.2.0'] | ||
conda-forge::conda[version='>=23.11.0,<23.12.0'] | ||
conda-forge::boto3[version='>=1.28.64,<1.29.0'] | ||
conda-forge::sagemaker-python-sdk[version='>=2.198.1,<2.199.0'] | ||
conda-forge::supervisor[version='>=4.2.5,<4.3.0'] | ||
conda-forge::autogluon[version='>=0.8.2,<0.9.0'] | ||
conda-forge::aws-glue-sessions[version='>=1.0.4,<1.1.0'] | ||
conda-forge::sagemaker-kernel-wrapper[version='>=0.0.2,<0.1.0'] | ||
conda-forge::jupyter-ai[version='>=2.9.1,<2.10.0'] | ||
conda-forge::jupyter-scheduler[version='>=2.5.1,<2.6.0'] | ||
conda-forge::nodejs[version='>=18.18.2,<18.19.0'] | ||
conda-forge::jupyter-lsp[version='>=2.2.3,<2.3.0'] | ||
conda-forge::jupyterlab-lsp[version='>=5.0.3,<5.1.0'] | ||
conda-forge::python-lsp-server[version='>=1.10.0,<1.11.0'] | ||
conda-forge::notebook[version='>=7.1.1,<7.2.0'] | ||
conda-forge::altair[version='>=5.2.0,<5.3.0'] | ||
conda-forge::sagemaker-studio-analytics-extension[version='>=0.0.21,<0.1.0'] | ||
conda-forge::jupyter-dash[version='>=0.4.2,<0.5.0'] | ||
conda-forge::sagemaker-jupyterlab-extension[version='>=0.2.0,<0.3.0'] | ||
conda-forge::sagemaker-jupyterlab-emr-extension[version='>=0.1.9,<0.2.0'] | ||
conda-forge::amazon-sagemaker-jupyter-scheduler[version='>=3.0.7,<3.1.0'] | ||
conda-forge::jupyter-server-proxy[version='>=4.1.0,<4.2.0'] | ||
conda-forge::amazon-codewhisperer-jupyterlab-ext[version='>=2.0.1,<2.1.0'] | ||
conda-forge::jupyterlab-git[version='>=0.50.0,<0.51.0'] | ||
conda-forge::sasl[version='>=0.3.1,<0.4.0'] | ||
conda-forge::thrift_sasl[version='>=0.4.3,<0.5.0'] | ||
conda-forge::pyhive[version='>=0.7.0,<0.8.0'] | ||
conda-forge::python-gssapi[version='>=1.8.3,<1.9.0'] |
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envs_dirs: | ||
- ~/.conda/envs | ||
- /opt/conda/envs | ||
pkgs_dirs: | ||
- ~/.conda/pkgs | ||
- /opt/conda/pkgs |
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build_artifacts/v1/v1.5/v1.5.3/dirs/etc/jupyter/jupyter_server_config.py
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# Default Jupyter server config | ||
# Note: those config can be overridden by user-level configs. | ||
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c.ServerApp.terminado_settings = { 'shell_command': ['/bin/bash'] } | ||
c.ServerApp.tornado_settings = { 'compress_response': True } | ||
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# Do not delete files to trash. Instead, permanently delete files. | ||
c.FileContentsManager.delete_to_trash = False | ||
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# Allow deleting non-empty directory via file browser | ||
# Related documentation: https://github.com/jupyter-server/jupyter_server/blob/main/jupyter_server/services/contents/filemanager.py#L125-L129 | ||
c.FileContentsManager.always_delete_dir = True | ||
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# Enable `allow_hidden` by default, so hidden files are accessible via Jupyter server | ||
# Related documentation: https://jupyterlab.readthedocs.io/en/stable/user/files.html#displaying-hidden-files | ||
c.ContentsManager.allow_hidden = True |
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build_artifacts/v1/v1.5/v1.5.3/dirs/etc/supervisor/conf.d/supervisord.conf
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[supervisord] | ||
nodaemon=true | ||
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pidfile=/var/run/supervisord/supervisord.pid | ||
logfile=%(ENV_STUDIO_LOGGING_DIR)s/%(ENV_SAGEMAKER_APP_TYPE_LOWERCASE)s/supervisord/supervisord.log | ||
logfile_maxbytes=5MB | ||
logfile_backups=10 | ||
redirect_stderr=true | ||
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[unix_http_server] | ||
file=/var/run/supervisord/supervisor.sock | ||
chmod=0700 | ||
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[supervisorctl] | ||
serverurl=unix:///var/run/supervisord/supervisor.sock | ||
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[rpcinterface:supervisor] | ||
supervisor.rpcinterface_factory = supervisor.rpcinterface:make_main_rpcinterface | ||
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[program:jupyterlabserver] | ||
directory=%(ENV_HOME)s | ||
command=start-jupyter-server | ||
stopasgroup=true | ||
stdout_logfile=/dev/stdout | ||
stdout_logfile_maxbytes=0 | ||
stderr_logfile=/dev/stderr | ||
stderr_logfile_maxbytes=0 |
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19
build_artifacts/v1/v1.5/v1.5.3/dirs/usr/local/bin/entrypoint-jupyter-server
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#!/bin/bash | ||
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set -e | ||
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# Generate and execute the shell code to modifies shell variables to include | ||
# micromamba commands (e.g. using `micromamba activate` to activate environments) | ||
eval "$(micromamba shell hook --shell=bash)" | ||
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# Activate conda environment 'base', where supervisord is installed | ||
micromamba activate base | ||
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# Set up SAGEMAKER_APP_TYPE_LOWERCASE based on SAGEMAKER_APP_TYPE | ||
export SAGEMAKER_APP_TYPE_LOWERCASE=$(echo $SAGEMAKER_APP_TYPE | tr '[:upper:]' '[:lower:]') | ||
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# Start supervisord with supervisord configuration | ||
# Since program 'jupyterlabserver' autostarts by default, it will be started | ||
# automatically along with supervisord | ||
mkdir -p $STUDIO_LOGGING_DIR/$SAGEMAKER_APP_TYPE_LOWERCASE/supervisord | ||
exec supervisord -c /etc/supervisor/conf.d/supervisord.conf -n |
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build_artifacts/v1/v1.5/v1.5.3/dirs/usr/local/bin/restart-jupyter-server
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#!/bin/bash | ||
set -e | ||
echo "Restarting the Jupyter server. This page should refresh in a few seconds. Note that any terminals will be closed." | ||
echo "If this page doesn't refresh after a few seconds, try reloading your browser window." | ||
echo "Restarting now..." | ||
nohup supervisorctl -c /etc/supervisor/conf.d/supervisord.conf restart jupyterlabserver > /dev/null 2>&1 & |
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build_artifacts/v1/v1.5/v1.5.3/dirs/usr/local/bin/start-jupyter-server
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#!/bin/bash | ||
set -e | ||
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eval "$(micromamba shell hook --shell=bash)" | ||
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# Activate conda environment 'base', which is the default environment for Cosmos | ||
micromamba activate base | ||
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# Start Jupyter server | ||
if [ -n "$SAGEMAKER_APP_TYPE_LOWERCASE" ]; then | ||
# SAGEMAKER_APP_TYPE is set, indicating the server is running within a SageMaker | ||
# app. Configure the base url to be `/<app-type-in-lower-case>/default`. | ||
jupyter lab --ip 0.0.0.0 --port 8888 \ | ||
--ServerApp.base_url="/$SAGEMAKER_APP_TYPE_LOWERCASE/default" \ | ||
--ServerApp.token='' \ | ||
--ServerApp.allow_origin='*' | ||
else | ||
jupyter lab --ip 0.0.0.0 --port 8888 \ | ||
--ServerApp.token='' \ | ||
--ServerApp.allow_origin='*' | ||
fi |
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conda-forge::cudatoolkit=$CUDA_MAJOR_MINOR_VERSION |
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# This file is auto-generated. | ||
conda-forge::langchain[version='>=0.1.9,<0.2.0'] | ||
conda-forge::fastapi[version='>=0.103.2,<0.104.0'] | ||
conda-forge::uvicorn[version='>=0.27.1,<0.28.0'] | ||
conda-forge::pytorch-gpu[version='>=2.0.0,<2.1.0'] | ||
conda-forge::tensorflow[version='>=2.12.1,<2.13.0'] | ||
conda-forge::python[version='>=3.10.13,<3.11.0'] | ||
conda-forge::pip[version='>=23.3.2,<23.4.0'] | ||
conda-forge::torchvision[version='>=0.15.2,<0.16.0'] | ||
conda-forge::numpy[version='>=1.26.4,<1.27.0'] | ||
conda-forge::pandas[version='>=2.1.4,<2.2.0'] | ||
conda-forge::scikit-learn[version='>=1.4.1.post1,<1.5.0'] | ||
conda-forge::jinja2[version='>=3.1.3,<3.2.0'] | ||
conda-forge::matplotlib[version='>=3.8.3,<3.9.0'] | ||
conda-forge::sagemaker-headless-execution-driver[version='>=0.0.12,<0.1.0'] | ||
conda-forge::ipython[version='>=8.21.0,<8.22.0'] | ||
conda-forge::scipy[version='>=1.11.4,<1.12.0'] | ||
conda-forge::keras[version='>=2.12.0,<2.13.0'] | ||
conda-forge::py-xgboost-gpu[version='>=1.7.6,<1.8.0'] | ||
conda-forge::jupyterlab[version='>=4.1.2,<4.2.0'] | ||
conda-forge::ipywidgets[version='>=8.1.2,<8.2.0'] | ||
conda-forge::conda[version='>=23.11.0,<23.12.0'] | ||
conda-forge::boto3[version='>=1.28.64,<1.29.0'] | ||
conda-forge::sagemaker-python-sdk[version='>=2.198.1,<2.199.0'] | ||
conda-forge::supervisor[version='>=4.2.5,<4.3.0'] | ||
conda-forge::autogluon[version='>=0.8.2,<0.9.0'] | ||
conda-forge::aws-glue-sessions[version='>=1.0.4,<1.1.0'] | ||
conda-forge::sagemaker-kernel-wrapper[version='>=0.0.2,<0.1.0'] | ||
conda-forge::jupyter-ai[version='>=2.9.1,<2.10.0'] | ||
conda-forge::jupyter-scheduler[version='>=2.5.1,<2.6.0'] | ||
conda-forge::nodejs[version='>=18.18.2,<18.19.0'] | ||
conda-forge::jupyter-lsp[version='>=2.2.3,<2.3.0'] | ||
conda-forge::jupyterlab-lsp[version='>=5.0.3,<5.1.0'] | ||
conda-forge::python-lsp-server[version='>=1.10.0,<1.11.0'] | ||
conda-forge::notebook[version='>=7.1.1,<7.2.0'] | ||
conda-forge::altair[version='>=5.2.0,<5.3.0'] | ||
conda-forge::sagemaker-studio-analytics-extension[version='>=0.0.21,<0.1.0'] | ||
conda-forge::jupyter-dash[version='>=0.4.2,<0.5.0'] | ||
conda-forge::sagemaker-jupyterlab-extension[version='>=0.2.0,<0.3.0'] | ||
conda-forge::sagemaker-jupyterlab-emr-extension[version='>=0.1.9,<0.2.0'] | ||
conda-forge::amazon-sagemaker-jupyter-scheduler[version='>=3.0.7,<3.1.0'] | ||
conda-forge::jupyter-server-proxy[version='>=4.1.0,<4.2.0'] | ||
conda-forge::amazon-codewhisperer-jupyterlab-ext[version='>=2.0.1,<2.1.0'] | ||
conda-forge::jupyterlab-git[version='>=0.50.0,<0.51.0'] | ||
conda-forge::sasl[version='>=0.3.1,<0.4.0'] | ||
conda-forge::thrift_sasl[version='>=0.4.3,<0.5.0'] | ||
conda-forge::pyhive[version='>=0.7.0,<0.8.0'] | ||
conda-forge::python-gssapi[version='>=1.8.3,<1.9.0'] |
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{ | ||
"argv": [ | ||
"/opt/conda/bin/python", | ||
"-m", | ||
"sagemaker_kernel_wrapper.sm_gis_wrapper", | ||
"-m", | ||
"aws_glue_interactive_sessions_kernel.glue_pyspark.GlueKernel", | ||
"-f", | ||
"{connection_file}" | ||
], | ||
"display_name": "Glue PySpark and Ray", | ||
"env": {"request_origin": "SageMakerStudioPySparkNotebook", "glue_version": "3.0"}, | ||
"language": "python" | ||
} | ||
|
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{ | ||
"argv": [ | ||
"/opt/conda/bin/python", | ||
"-m", | ||
"sagemaker_kernel_wrapper.sm_gis_wrapper", | ||
"-m", | ||
"aws_glue_interactive_sessions_kernel.glue_spark.GlueKernel", | ||
"-f", | ||
"{connection_file}" | ||
], | ||
"display_name": "Glue Spark", | ||
"env": {"request_origin": "SageMakerStudioSparkNotebook", "glue_version": "3.0"}, | ||
"language": "python" | ||
} | ||
|
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1.5.2 |