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release: v1.13.1 (#616)
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‎build_artifacts/v1/v1.13/v1.13.1/CHANGELOG-cpu.md

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# Change log: 1.13.1(cpu)
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## Upgrades:
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Package | Previous Version | Current Version
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---|---|---
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jupyterlab|4.3.5|4.3.6
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amazon-sagemaker-jupyter-scheduler|3.1.10|3.1.11
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amazon-sagemaker-sql-magic|0.1.3|0.1.4
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amazon_sagemaker_sql_editor|0.1.15|0.1.16
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ipywidgets|8.1.5|8.1.6
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notebook|7.3.2|7.3.3
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aws-glue-sessions|1.0.8|1.0.9
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fastapi|0.115.11|0.115.12
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sagemaker-jupyterlab-emr-extension|0.3.7|0.3.8
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sagemaker-studio-analytics-extension|0.1.5|0.1.6

‎build_artifacts/v1/v1.13/v1.13.1/CHANGELOG-gpu.md

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# Change log: 1.13.1(gpu)
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## Upgrades:
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Package | Previous Version | Current Version
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---|---|---
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jupyterlab|4.3.5|4.3.6
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amazon-sagemaker-jupyter-scheduler|3.1.10|3.1.11
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amazon-sagemaker-sql-magic|0.1.3|0.1.4
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amazon_sagemaker_sql_editor|0.1.15|0.1.16
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ipywidgets|8.1.5|8.1.6
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notebook|7.3.2|7.3.3
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aws-glue-sessions|1.0.8|1.0.9
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fastapi|0.115.11|0.115.12
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sagemaker-jupyterlab-emr-extension|0.3.7|0.3.8
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sagemaker-studio-analytics-extension|0.1.5|0.1.6

‎build_artifacts/v1/v1.13/v1.13.1/Dockerfile

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ARG TAG_FOR_BASE_MICROMAMBA_IMAGE
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FROM mambaorg/micromamba:$TAG_FOR_BASE_MICROMAMBA_IMAGE
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ARG CUDA_MAJOR_MINOR_VERSION=''
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ARG ENV_IN_FILENAME
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ARG PINNED_ENV_IN_FILENAME
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ARG ARG_BASED_ENV_IN_FILENAME
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ARG IMAGE_VERSION
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ARG AMZN_BASE="/opt/amazon/sagemaker"
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ARG DB_ROOT_DIR="/opt/db"
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ARG DIRECTORY_TREE_STAGE_DIR="${AMZN_BASE}/dir-staging"
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ARG NB_USER="sagemaker-user"
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ARG NB_UID=1000
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ARG NB_GID=100
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# https://www.openssl.org/source/
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ARG FIPS_VALIDATED_SSL=3.0.8
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ENV SAGEMAKER_LOGGING_DIR="/var/log/sagemaker/"
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ENV STUDIO_LOGGING_DIR="/var/log/studio/"
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ENV EDITOR="nano"
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ENV IMAGE_VERSION=$IMAGE_VERSION
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ENV PINNED_MICROMAMBA_MINOR_VERSION="1.5.*"
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USER root
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# Upgrade micromamba to the latest patch version in the pinned minor version range, if applicable
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RUN CURRENT_MICROMAMBA_VERSION=$(micromamba --version) && \
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echo "Current micromamba version: $CURRENT_MICROMAMBA_VERSION" && \
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if [[ "$CURRENT_MICROMAMBA_VERSION" == $PINNED_MICROMAMBA_MINOR_VERSION ]]; then \
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echo "Upgrading micromamba to the latest $PINNED_MICROMAMBA_MINOR_VERSION version..." && \
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micromamba self-update -c conda-forge --version "$MIN_REQUIRED_MICROMAMBA_VERSION" && \
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micromamba clean --all --yes --force-pkgs-dirs; \
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else \
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echo "Micromamba is already at version $CURRENT_MICROMAMBA_VERSION (outside $PINNED_MICROMAMBA_MINOR_VERSION). No upgrade performed."; \
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fi
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RUN usermod "--login=${NB_USER}" "--home=/home/${NB_USER}" --move-home "-u ${NB_UID}" "${MAMBA_USER}" && \
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groupmod "--new-name=${NB_USER}" --non-unique "-g ${NB_GID}" "${MAMBA_USER}" && \
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# Update the expected value of MAMBA_USER for the
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# _entrypoint.sh consistency check.
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echo "${NB_USER}" > "/etc/arg_mamba_user" && \
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:
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ENV MAMBA_USER=$NB_USER
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ENV USER=$NB_USER
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RUN apt-get update && apt-get upgrade -y && \
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apt-get install -y --no-install-recommends sudo gettext-base wget curl unzip git rsync build-essential openssh-client nano cron less mandoc && \
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# We just install tzdata below but leave default time zone as UTC. This helps packages like Pandas to function correctly.
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DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends tzdata krb5-user libkrb5-dev libsasl2-dev libsasl2-modules && \
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chmod g+w /etc/passwd && \
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echo "ALL ALL=(ALL) NOPASSWD: ALL" >> /etc/sudoers && \
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touch /etc/krb5.conf.lock && chown ${NB_USER}:${MAMBA_USER} /etc/krb5.conf* && \
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# Note that we do NOT run `rm -rf /var/lib/apt/lists/*` here. If we did, anyone building on top of our images will
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# not be able to run any `apt-get install` commands and that would hamper customizability of the images.
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curl "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip" && \
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unzip awscliv2.zip && \
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sudo ./aws/install && \
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rm -rf aws awscliv2.zip && \
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:
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RUN echo "source /usr/local/bin/_activate_current_env.sh" | tee --append /etc/profile
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# CodeEditor - create server, user data dirs
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RUN mkdir -p /opt/amazon/sagemaker/sagemaker-code-editor-server-data /opt/amazon/sagemaker/sagemaker-code-editor-user-data \
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&& chown $MAMBA_USER:$MAMBA_USER /opt/amazon/sagemaker/sagemaker-code-editor-server-data /opt/amazon/sagemaker/sagemaker-code-editor-user-data
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# create dir to store user data files
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RUN mkdir -p /opt/amazon/sagemaker/user-data \
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&& chown $MAMBA_USER:$MAMBA_USER /opt/amazon/sagemaker/user-data
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# Merge in OS directory tree contents.
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RUN mkdir -p ${DIRECTORY_TREE_STAGE_DIR}
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COPY dirs/ ${DIRECTORY_TREE_STAGE_DIR}/
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RUN rsync -a ${DIRECTORY_TREE_STAGE_DIR}/ / && \
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rm -rf ${DIRECTORY_TREE_STAGE_DIR}
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# CodeEditor - download the extensions
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RUN mkdir -p /etc/code-editor/extensions && \
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while IFS= read -r url || [ -n "$url" ]; do \
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echo "Downloading extension from ${url}..." && \
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wget --no-check-certificate -P /etc/code-editor/extensions "${url}"; \
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done < /etc/code-editor/extensions.txt
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USER $MAMBA_USER
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COPY --chown=$MAMBA_USER:$MAMBA_USER $ENV_IN_FILENAME *.in /tmp/
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COPY --chown=$MAMBA_USER:$MAMBA_USER $PINNED_ENV_IN_FILENAME *.in /tmp/
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# Make sure that $ENV_IN_FILENAME and $PINNED_ENV_IN_FILENAME has a newline at the end before the `tee` command runs.
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# Otherwise, nasty things will happen.
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RUN if [[ -z $ARG_BASED_ENV_IN_FILENAME ]] ; \
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then echo 'No ARG_BASED_ENV_IN_FILENAME passed' ; \
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else envsubst < /tmp/$ARG_BASED_ENV_IN_FILENAME | tee --append /tmp/$ENV_IN_FILENAME ; \
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fi
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ARG CONDA_OVERRIDE_CUDA=$CUDA_MAJOR_MINOR_VERSION
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RUN micromamba install -y --name base --file /tmp/$ENV_IN_FILENAME --file /tmp/$PINNED_ENV_IN_FILENAME && \
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micromamba clean --all --yes --force-pkgs-dirs && \
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rm -rf /tmp/*.in
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ARG MAMBA_DOCKERFILE_ACTIVATE=1
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RUN sudo ln -s $(which python3) /usr/bin/python && \
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# Update npm version
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npm update -g npm
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# Configure CodeEditor - Install extensions and set preferences
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RUN \
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extensionloc=/opt/amazon/sagemaker/sagemaker-code-editor-server-data/extensions && mkdir -p "${extensionloc}" \
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# Loop through all vsix files in /etc/code-editor/extensions and install them
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&& for ext in /etc/code-editor/extensions/*.vsix; do \
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echo "Installing extension ${ext}..."; \
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sagemaker-code-editor --install-extension "${ext}" --extensions-dir "${extensionloc}" --server-data-dir /opt/amazon/sagemaker/sagemaker-code-editor-server-data --user-data-dir /opt/amazon/sagemaker/sagemaker-code-editor-user-data; \
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done \
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# Copy the settings
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&& cp /etc/code-editor/code_editor_machine_settings.json /opt/amazon/sagemaker/sagemaker-code-editor-server-data/data/Machine/settings.json \
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&& cp /etc/code-editor/code_editor_user_settings.json /opt/amazon/sagemaker/sagemaker-code-editor-server-data/data/User/settings.json
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# Install glue kernels, and move to shared directory
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# Also patching base kernel so Studio background code doesn't start session silently
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RUN install-glue-kernels && \
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SITE_PACKAGES=$(pip show aws-glue-sessions | grep Location | awk '{print $2}') && \
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jupyter-kernelspec install $SITE_PACKAGES/aws_glue_interactive_sessions_kernel/glue_pyspark --user && \
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jupyter-kernelspec install $SITE_PACKAGES/aws_glue_interactive_sessions_kernel/glue_spark --user && \
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mv /home/sagemaker-user/.local/share/jupyter/kernels/glue_pyspark /opt/conda/share/jupyter/kernels && \
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mv /home/sagemaker-user/.local/share/jupyter/kernels/glue_spark /opt/conda/share/jupyter/kernels && \
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sed -i '/if not store_history and (/i\ if "sm_analytics_runtime_check" in code:\n return await self._complete_cell()\n' \
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"$SITE_PACKAGES/aws_glue_interactive_sessions_kernel/glue_kernel_base/BaseKernel.py"
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# Patch glue kernels to use kernel wrapper
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COPY patch_glue_pyspark.json /opt/conda/share/jupyter/kernels/glue_pyspark/kernel.json
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COPY patch_glue_spark.json /opt/conda/share/jupyter/kernels/glue_spark/kernel.json
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# Configure RTC - disable jupyter_collaboration by default
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RUN jupyter labextension disable @jupyter/collaboration-extension
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USER root
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RUN HOME_DIR="/home/${NB_USER}/licenses" \
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&& mkdir -p ${HOME_DIR} \
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&& curl -o ${HOME_DIR}/oss_compliance.zip https://aws-dlinfra-utilities.s3.amazonaws.com/oss_compliance.zip \
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&& unzip ${HOME_DIR}/oss_compliance.zip -d ${HOME_DIR}/ \
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&& cp ${HOME_DIR}/oss_compliance/test/testOSSCompliance /usr/local/bin/testOSSCompliance \
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&& chmod +x /usr/local/bin/testOSSCompliance \
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&& chmod +x ${HOME_DIR}/oss_compliance/generate_oss_compliance.sh \
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&& ${HOME_DIR}/oss_compliance/generate_oss_compliance.sh ${HOME_DIR} python \
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&& rm -rf ${HOME_DIR}/oss_compliance*
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# Create logging directories for supervisor
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RUN mkdir -p $SAGEMAKER_LOGGING_DIR && \
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chmod a+rw $SAGEMAKER_LOGGING_DIR && \
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mkdir -p ${STUDIO_LOGGING_DIR} && \
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chown ${NB_USER}:${MAMBA_USER} ${STUDIO_LOGGING_DIR}
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# Clean up CodeEditor artifacts
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RUN rm -rf /etc/code-editor
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# Create supervisord runtime directory
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RUN mkdir -p /var/run/supervisord && \
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chmod a+rw /var/run/supervisord
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# Create root directory for DB
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# Create logging directories for supervisor
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RUN mkdir -p $DB_ROOT_DIR && \
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chmod a+rw $DB_ROOT_DIR
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USER $MAMBA_USER
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ENV PATH="/opt/conda/bin:/opt/conda/condabin:$PATH"
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WORKDIR "/home/${NB_USER}"
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# Install FIPS Provider for OpenSSL, on top of existing OpenSSL installation
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# v3.0.8 is latest FIPS validated provider, so this is the one we install
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# But we need to run tests against the installed version.
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# see https://github.com/openssl/openssl/blob/master/README-FIPS.md https://www.openssl.org/source/
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RUN INSTALLED_SSL=$(micromamba list | grep openssl | tr -s ' ' | cut -d ' ' -f 3 | head -n 1) && \
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# download source code for installed, and FIPS validated openssl versions
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curl -L https://github.com/openssl/openssl/releases/download/openssl-$FIPS_VALIDATED_SSL/openssl-$FIPS_VALIDATED_SSL.tar.gz > openssl-$FIPS_VALIDATED_SSL.tar.gz && \
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curl -L https://github.com/openssl/openssl/releases/download/openssl-$INSTALLED_SSL/openssl-$INSTALLED_SSL.tar.gz > openssl-$INSTALLED_SSL.tar.gz && \
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tar -xf openssl-$FIPS_VALIDATED_SSL.tar.gz && tar -xf openssl-$INSTALLED_SSL.tar.gz && cd openssl-$FIPS_VALIDATED_SSL && \
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# Configure both versions to enable FIPS and build
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./Configure enable-fips --prefix=/opt/conda --openssldir=/opt/conda/ssl && make && \
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cd ../openssl-$INSTALLED_SSL && \
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./Configure enable-fips --prefix=/opt/conda --openssldir=/opt/conda/ssl && make && \
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# Copy validated provider to installed version for testing
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cp ../openssl-$FIPS_VALIDATED_SSL/providers/fips.so providers/. && \
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cp ../openssl-$FIPS_VALIDATED_SSL/providers/fipsmodule.cnf providers/. && \
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make tests && cd ../openssl-$FIPS_VALIDATED_SSL && \
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# After tests pass, install FIPS provider and remove source code
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make install_fips && cd .. && rm -rf ./openssl-*
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# Create new config file with fips-enabled. Then user can override OPENSSL_CONF to enable FIPS
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# e.g. export OPENSSL_CONF=/opt/conda/ssl/openssl-fips.cnf
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RUN cp /opt/conda/ssl/openssl.cnf /opt/conda/ssl/openssl-fips.cnf && \
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sed -i "s:# .include fipsmodule.cnf:.include /opt/conda/ssl/fipsmodule.cnf:" /opt/conda/ssl/openssl-fips.cnf && \
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sed -i 's:# fips = fips_sect:fips = fips_sect:' /opt/conda/ssl/openssl-fips.cnf
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ENV OPENSSL_MODULES=/opt/conda/lib64/ossl-modules/
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# Install Kerberos.
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# Make sure no dependency is added/updated
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RUN pip install "krb5>=0.5.1,<0.6" && \
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pip show krb5 | grep Require | xargs -i sh -c '[ $(echo {} | cut -d: -f2 | wc -w) -eq 0 ] '
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# https://stackoverflow.com/questions/122327
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RUN SYSTEM_PYTHON_PATH=$(python3 -c "from __future__ import print_function;import sysconfig; print(sysconfig.get_paths().get('purelib'))") && \
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# Remove SparkRKernel as it's not supported \
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jupyter-kernelspec remove -f -y sparkrkernel && \
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# Patch Sparkmagic lib to support Custom Certificates \
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# https://github.com/jupyter-incubator/sparkmagic/pull/435/files \
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cp -a ${SYSTEM_PYTHON_PATH}/sagemaker_studio_analytics_extension/patches/configuration.py ${SYSTEM_PYTHON_PATH}/sparkmagic/utils/ && \
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cp -a ${SYSTEM_PYTHON_PATH}/sagemaker_studio_analytics_extension/patches/reliablehttpclient.py ${SYSTEM_PYTHON_PATH}/sparkmagic/livyclientlib/reliablehttpclient.py && \
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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 && \
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sed -i 's="Spark"="SparkMagic Spark"=g' /opt/conda/share/jupyter/kernels/sparkkernel/kernel.json && \
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sed -i 's="PySpark"="SparkMagic PySpark"=g' /opt/conda/share/jupyter/kernels/pysparkkernel/kernel.json
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ENV SHELL=/bin/bash

‎build_artifacts/v1/v1.13/v1.13.1/RELEASE.md

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# Release notes: 1.13.1
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Package | gpu| cpu
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---|---|---
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python|3.10.16|3.10.16
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numpy|1.26.4|1.26.4
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jinja2|3.1.6|3.1.6
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pytorch|2.0.0|2.0.0
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altair|5.5.0|5.5.0
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boto3|1.34.162|1.34.162
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ipython|8.31.0|8.31.0
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jupyter-lsp|2.2.5|2.2.5
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jupyterlab|4.3.6|4.3.6
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amazon-q-developer-jupyterlab-ext|3.4.7|3.4.7
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langchain|0.2.17|0.2.17
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jupyter-ai|2.28.5|2.28.5
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amazon-sagemaker-jupyter-ai-q-developer|1.0.17|1.0.17
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jupyter-scheduler|2.10.0|2.10.0
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amazon-sagemaker-jupyter-scheduler|3.1.11|3.1.11
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pandas|2.1.4|2.1.4
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amazon-sagemaker-sql-magic|0.1.4|0.1.4
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jupyterlab-lsp|5.0.3|5.0.3
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amazon_sagemaker_sql_editor|0.1.16|0.1.16
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scipy|1.11.4|1.11.4
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scikit-learn|1.4.2|1.4.2
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pip|23.3.2|23.3.2
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torchvision|0.15.2|0.15.2
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autogluon|0.8.3|0.8.3
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ipywidgets|8.1.6|8.1.6
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notebook|7.3.3|7.3.3
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aws-glue-sessions|1.0.9|1.0.9
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conda|23.11.0|23.11.0
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uvicorn|0.34.0|0.34.0
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fastapi|0.115.12|0.115.12
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jupyter-collaboration|1.2.0|1.2.0
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jupyter-dash|0.4.2|0.4.2
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jupyter-server-proxy|4.4.0|4.4.0
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jupyterlab-git|0.50.2|0.50.2
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keras|2.14.0|2.15.0
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langchain-aws|0.1.18|0.1.18
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matplotlib|3.10.1|3.10.1
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nodejs|18.20.3|18.20.3
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py-xgboost-gpu|1.7.6|
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thrift_sasl|0.4.3|0.4.3
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pyhive|0.7.0|0.7.0
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python-gssapi|1.9.0|1.9.0
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python-lsp-server|1.12.2|1.12.2
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sagemaker-code-editor|1.1.5|1.1.5
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sagemaker-headless-execution-driver|0.0.13|0.0.13
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sagemaker-jupyterlab-emr-extension|0.3.8|0.3.8
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sagemaker-jupyterlab-extension|0.4.0|0.4.0
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sagemaker-kernel-wrapper|0.0.5|0.0.5
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sagemaker-python-sdk|2.228.0|2.228.0
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sagemaker-studio-analytics-extension|0.1.6|0.1.6
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sasl|0.3.1|0.3.1
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supervisor|4.2.5|4.2.5
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tensorflow|2.14.0|2.15.0
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py-xgboost-cpu| |1.7.6

‎build_artifacts/v1/v1.13/v1.13.1/cpu.env.in

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# This file is auto-generated.
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conda-forge::langchain-aws[version='>=0.1.18,<0.2.0']
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conda-forge::jupyter-collaboration[version='>=1.2.0,<1.3.0']
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conda-forge::sagemaker-code-editor[version='>=1.1.5,<1.2.0']
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conda-forge::amazon_sagemaker_sql_editor[version='>=0.1.15,<0.2.0']
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conda-forge::amazon-sagemaker-sql-magic[version='>=0.1.3,<0.2.0']
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conda-forge::amazon-sagemaker-jupyter-ai-q-developer[version='>=1.0.17,<1.1.0']
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conda-forge::amazon-q-developer-jupyterlab-ext[version='>=3.4.7,<3.5.0']
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conda-forge::langchain[version='>=0.2.17,<0.3.0']
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conda-forge::fastapi[version='>=0.115.11,<0.116.0']
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conda-forge::uvicorn[version='>=0.34.0,<0.35.0']
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conda-forge::pytorch[version='>=2.0.0,<2.1.0']
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conda-forge::tensorflow[version='>=2.15.0,<2.16.0']
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conda-forge::python[version='>=3.10.16,<3.11.0']
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conda-forge::pip[version='>=23.3.2,<23.4.0']
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conda-forge::torchvision[version='>=0.15.2,<0.16.0']
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conda-forge::numpy[version='>=1.26.4,<1.27.0']
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conda-forge::pandas[version='>=2.1.4,<2.2.0']
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conda-forge::scikit-learn[version='>=1.4.2,<1.5.0']
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conda-forge::jinja2[version='>=3.1.6,<3.2.0']
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conda-forge::matplotlib[version='>=3.10.1,<3.11.0']
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conda-forge::sagemaker-headless-execution-driver[version='>=0.0.13,<0.1.0']
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conda-forge::ipython[version='>=8.31.0,<8.32.0']
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conda-forge::scipy[version='>=1.11.4,<1.12.0']
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conda-forge::keras[version='>=2.15.0,<2.16.0']
26+
conda-forge::py-xgboost-cpu[version='>=1.7.6,<1.8.0']
27+
conda-forge::jupyterlab[version='>=4.3.5,<4.4.0']
28+
conda-forge::ipywidgets[version='>=8.1.5,<8.2.0']
29+
conda-forge::conda[version='>=23.11.0,<23.12.0']
30+
conda-forge::boto3[version='>=1.34.162,<1.35.0']
31+
conda-forge::sagemaker-python-sdk[version='>=2.228.0,<2.229.0']
32+
conda-forge::supervisor[version='>=4.2.5,<4.3.0']
33+
conda-forge::autogluon[version='>=0.8.3,<0.9.0']
34+
conda-forge::aws-glue-sessions[version='>=1.0.8,<1.1.0']
35+
conda-forge::sagemaker-kernel-wrapper[version='>=0.0.5,<0.1.0']
36+
conda-forge::jupyter-ai[version='>=2.28.5,<2.29.0']
37+
conda-forge::jupyter-scheduler[version='>=2.10.0,<2.11.0']
38+
conda-forge::nodejs[version='>=18.20.3,<18.21.0']
39+
conda-forge::jupyter-lsp[version='>=2.2.5,<2.3.0']
40+
conda-forge::jupyterlab-lsp[version='>=5.0.3,<5.1.0']
41+
conda-forge::jupyterlab-git[version='>=0.50.2,<0.51.0']
42+
conda-forge::python-lsp-server[version='>=1.12.2,<1.13.0']
43+
conda-forge::notebook[version='>=7.3.2,<7.4.0']
44+
conda-forge::altair[version='>=5.5.0,<5.6.0']
45+
conda-forge::sagemaker-studio-analytics-extension[version='>=0.1.5,<0.2.0']
46+
conda-forge::jupyter-dash[version='>=0.4.2,<0.5.0']
47+
conda-forge::sagemaker-jupyterlab-extension[version='>=0.4.0,<0.5.0']
48+
conda-forge::sagemaker-jupyterlab-emr-extension[version='>=0.3.7,<0.4.0']
49+
conda-forge::amazon-sagemaker-jupyter-scheduler[version='>=3.1.10,<3.2.0']
50+
conda-forge::jupyter-server-proxy[version='>=4.4.0,<4.5.0']
51+
conda-forge::sasl[version='>=0.3.1,<0.4.0']
52+
conda-forge::thrift_sasl[version='>=0.4.3,<0.5.0']
53+
conda-forge::pyhive[version='>=0.7.0,<0.8.0']
54+
conda-forge::python-gssapi[version='>=1.9.0,<1.10.0']

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