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release: v2.8.2 (#780)
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‎build_artifacts/v2/v2.8/v2.8.2/CHANGELOG-cpu.md

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# Change log: 2.8.2(cpu)
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## Upgrades:
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Package | Previous Version | Current Version
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---|---|---
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sagemaker-studio|1.0.16|1.0.19
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sagemaker-studio-dataengineering-extensions|1.1.2|1.1.3
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sagemaker-studio-dataengineering-sessions|1.1.2|1.1.4

‎build_artifacts/v2/v2.8/v2.8.2/CHANGELOG-gpu.md

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# Change log: 2.8.2(gpu)
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## Upgrades:
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Package | Previous Version | Current Version
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---|---|---
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sagemaker-studio|1.0.16|1.0.19
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sagemaker-studio-dataengineering-extensions|1.1.2|1.1.3
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sagemaker-studio-dataengineering-sessions|1.1.2|1.1.4

‎build_artifacts/v2/v2.8/v2.8.2/Dockerfile

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ARG TAG_FOR_BASE_MICROMAMBA_IMAGE
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FROM mambaorg/micromamba:$TAG_FOR_BASE_MICROMAMBA_IMAGE
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ARG CUDA_MAJOR_MINOR_VERSION=''
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ARG ENV_IN_FILENAME
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ARG PINNED_ENV_IN_FILENAME
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ARG ARG_BASED_ENV_IN_FILENAME
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ARG IMAGE_VERSION
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LABEL "org.amazon.sagemaker-distribution.image.version"=$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="${AMZN_BASE}/dir-staging"
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ARG NB_USER="sagemaker-user"
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ARG NB_UID=1000
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ARG NB_GID=100
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# https://www.openssl.org/source/
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ARG FIPS_VALIDATED_SSL=3.0.8
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ARG MIN_REQUIRED_MICROMAMBA_VERSION=1.5.11
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ENV SAGEMAKER_LOGGING_DIR="/var/log/sagemaker/"
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ENV STUDIO_LOGGING_DIR="/var/log/studio/"
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ENV EDITOR="nano"
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ENV IMAGE_VERSION=$IMAGE_VERSION
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ENV PINNED_MICROMAMBA_MINOR_VERSION="1.5.*"
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ENV SAGEMAKER_RECOVERY_MODE_HOME=/tmp/sagemaker-recovery-mode-home
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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 jq ca-certificates gnupg && \
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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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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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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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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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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 ${DIRECTORY_TREE_STAGE_DIR} && \
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# CodeEditor - download the extensions
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mkdir -p /etc/code-editor/extensions && \
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while IFS= read -r url || [ -n "$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 $PINNED_ENV_IN_FILENAME *.in /tmp/
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ARG MAMBA_DOCKERFILE_ACTIVATE=1
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ARG CONDA_OVERRIDE_CUDA=$CUDA_MAJOR_MINOR_VERSION
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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/$ENV_IN_FILENAME ; \
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fi && \
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# Enforce dependencies are all installed from conda-forge
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micromamba install -y --name base --file /tmp/$ENV_IN_FILENAME --file /tmp/$PINNED_ENV_IN_FILENAME && \
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mkdir -p $SAGEMAKER_RECOVERY_MODE_HOME && \
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chown $MAMBA_USER:$MAMBA_USER $SAGEMAKER_RECOVERY_MODE_HOME && \
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SUPERVISOR_VERSION=$(grep "^conda-forge::supervisor\[" /tmp/$ENV_IN_FILENAME) && \
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JUPYTERLAB_VERSION=$(grep "^conda-forge::jupyterlab\[" /tmp/$ENV_IN_FILENAME) && \
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SAGEMAKER_JUPYTERLAB_VERSION=$(grep "^conda-forge::sagemaker-jupyterlab-extension" /tmp/$ENV_IN_FILENAME) && \
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echo "Installing in sagemaker-recovery-mode micromamba environment: $JUPYTERLAB_VERSION $SAGEMAKER_JUPYTERLAB_VERSION" && \
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micromamba create -n sagemaker-recovery-mode && \
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micromamba install -c conda-forge --prefix /opt/conda/envs/sagemaker-recovery-mode -y $JUPYTERLAB_VERSION $SAGEMAKER_JUPYTERLAB_VERSION $SUPERVISOR_VERSION && \
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micromamba clean --all --yes --force-pkgs-dirs && \
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rm -rf /tmp/*.in && \
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sudo ln -s $(which python3) /usr/bin/python && \
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# Update npm version
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npm i -g npm && \
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# Enforce to use `conda-forge` as only channel, by removing `defaults`
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conda config --remove channels defaults && \
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micromamba config append channels conda-forge --env && \
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# Configure CodeEditor - Install extensions and set preferences
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extensionloc=/opt/amazon/sagemaker/sagemaker-code-editor-server-data/extensions && mkdir -p "${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 "${extensionloc}" --server-data-dir /opt/amazon/sagemaker/sagemaker-code-editor-server-data --user-data-dir /opt/amazon/sagemaker/sagemaker-code-editor-user-data; \
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done \
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# Copy the settings
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&& cp /etc/code-editor/code_editor_machine_settings.json /opt/amazon/sagemaker/sagemaker-code-editor-server-data/data/Machine/settings.json && \
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cp /etc/code-editor/code_editor_user_settings.json /opt/amazon/sagemaker/sagemaker-code-editor-server-data/data/User/settings.json && \
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# Install glue kernels, and move to shared directory
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# Also patching base kernel so Studio background code doesn't start session silently
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install-glue-kernels && \
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SITE_PACKAGES=$(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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# 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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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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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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# Install Kerberos.
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# Make sure no dependency is added/updated
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pip install "krb5>=0.5.1,<0.6" && \
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pip show krb5 | grep Require | xargs -i sh -c '[ $(echo {} | cut -d: -f2 | wc -w) -eq 0 ] ' && \
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# https://stackoverflow.com/questions/122327
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SYSTEM_PYTHON_PATH=$(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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# Configure RTC - disable jupyter_collaboration by default
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jupyter labextension disable @jupyter/collaboration-extension
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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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USER root
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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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# Create sagemaker pysdk admin default config directory
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mkdir -p /etc/xdg/sagemaker && \
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chmod a+rw /etc/xdg/sagemaker && \
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# Clean up CodeEditor artifacts
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rm -rf /etc/code-editor && \
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# Create supervisord runtime directory
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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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mkdir -p $DB_ROOT_DIR && \
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chmod a+rw $DB_ROOT_DIR && \
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HOME_DIR="/home/${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 ${HOME_DIR}/oss_compliance*
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# Explicitly disable BuildKit for SM Studio Docker functionality
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ENV DOCKER_BUILDKIT=0
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ENV PATH="/opt/conda/bin:/opt/conda/condabin:$PATH"
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WORKDIR "/home/${NB_USER}"
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ENV SHELL=/bin/bash
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ENV OPENSSL_MODULES=/opt/conda/lib64/ossl-modules/
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USER $MAMBA_USER

‎build_artifacts/v2/v2.8/v2.8.2/RELEASE.md

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# Release notes: 2.8.2
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Package | gpu| cpu
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---|---|---
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python|3.11.11|3.11.11
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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|2.6.0|2.6.0
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pandas|2.2.3|2.2.3
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altair|5.5.0|5.5.0
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boto3|1.38.27|1.38.27
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ipython|8.37.0|8.37.0
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jupyter-lsp|2.2.5|2.2.5
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jupyterlab|4.4.4|4.4.4
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amazon-q-developer-jupyterlab-ext|3.4.8|3.4.8
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langchain|0.3.26|0.3.26
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jupyter-ai|2.31.5|2.31.5
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amazon-sagemaker-jupyter-ai-q-developer|1.2.7|1.2.7
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jupyter-scheduler|2.11.0|2.11.0
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amazon-sagemaker-jupyter-scheduler|3.1.15|3.1.15
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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|0.1.18|0.1.18
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amzn-sagemaker-aiops-jupyterlab-extension|1.0.4|1.0.4
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scipy|1.15.2|1.15.2
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matplotlib-base|3.10.3|3.10.3
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scikit-learn|1.6.1|1.6.1
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pip|24.3.1|24.3.1
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torchvision|0.21.0|0.21.0
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autogluon|1.3.1|1.3.1
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ipywidgets|8.1.7|8.1.7
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notebook|7.4.4|7.4.4
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aws-glue-sessions|1.0.9|1.0.9
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aws-s3-access-grants-boto3-plugin|1.2.0|1.2.0
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conda|24.11.3|24.11.3
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docker-cli|27.5.1|27.5.1
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uvicorn|0.35.0|0.35.0
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fastapi|0.115.14|0.115.14
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git-remote-codecommit|1.16|1.16
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jupyter-activity-monitor-extension|0.3.2|0.3.2
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jupyter-collaboration|2.1.5|2.1.5
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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|0.51.2|0.51.2
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keras|3.10.0|3.10.0
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langchain-aws|0.2.27|0.2.27
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mlflow|2.22.0|2.22.0
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py-xgboost-gpu|2.1.4|
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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|1.13.0
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s3fs|2024.12.0|2024.12.0
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sagemaker-code-editor|1.6.2|1.6.2
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sagemaker-headless-execution-driver|0.0.13|0.0.13
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sagemaker-jupyterlab-emr-extension|0.4.0|0.4.0
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sagemaker-jupyterlab-extension|0.5.0|0.5.0
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sagemaker-kernel-wrapper|0.0.5|0.0.5
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sagemaker-mlflow|0.1.0|0.1.0
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sagemaker-python-sdk|2.245.0|2.245.0
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sagemaker-studio|1.0.19|1.0.19
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sagemaker-studio-analytics-extension|0.2.0|0.2.0
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sagemaker-studio-cli|1.0.6|1.0.6
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sagemaker-studio-dataengineering-extensions|1.1.3|1.1.3
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sagemaker-studio-dataengineering-sessions|1.1.4|1.1.4
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seaborn|0.13.2|0.13.2
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supervisor|4.2.5|4.2.5
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tensorflow|2.18.0|2.18.0
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tf-keras|2.18.0|2.18.0
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py-xgboost-cpu| |2.1.4

‎build_artifacts/v2/v2.8/v2.8.2/cpu.env.in

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# This file is auto-generated.
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conda-forge::s3fs[version='>=2024.12.0,<2024.13.0']
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conda-forge::seaborn[version='>=0.13.2,<0.14.0']
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conda-forge::jupyter-activity-monitor-extension[version='>=0.3.2,<0.4.0']
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conda-forge::mlflow[version='>=2.22.0,<2.23.0']
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conda-forge::sagemaker-mlflow[version='>=0.1.0,<0.2.0']
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conda-forge::langchain-aws[version='>=0.2.27,<0.3.0']
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conda-forge::jupyter-collaboration[version='>=2.1.5,<2.2.0']
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conda-forge::sagemaker-code-editor[version='>=1.6.2,<1.7.0']
10+
conda-forge::amazon_sagemaker_sql_editor[version='>=0.1.18,<0.2.0']
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conda-forge::amazon-sagemaker-sql-magic[version='>=0.1.4,<0.2.0']
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conda-forge::amazon-sagemaker-jupyter-ai-q-developer[version='>=1.2.7,<1.3.0']
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conda-forge::langchain[version='>=0.3.26,<0.4.0']
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conda-forge::fastapi[version='>=0.115.14,<0.116.0']
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conda-forge::uvicorn[version='>=0.35.0,<0.36.0']
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conda-forge::pytorch[version='>=2.6.0,<2.7.0']
18+
conda-forge::tensorflow[version='>=2.18.0,<2.19.0']
19+
conda-forge::python[version='>=3.11.11,<3.12.0']
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conda-forge::pip[version='>=24.3.1,<24.4.0']
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conda-forge::torchvision[version='>=0.21.0,<0.22.0']
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conda-forge::numpy[version='>=1.26.4,<1.27.0']
23+
conda-forge::pandas[version='>=2.2.3,<2.3.0']
24+
conda-forge::scikit-learn[version='>=1.6.1,<1.7.0']
25+
conda-forge::jinja2[version='>=3.1.6,<3.2.0']
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conda-forge::matplotlib-base[version='>=3.10.3,<3.11.0']
27+
conda-forge::sagemaker-headless-execution-driver[version='>=0.0.13,<0.1.0']
28+
conda-forge::ipython[version='>=8.37.0,<8.38.0']
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conda-forge::scipy[version='>=1.15.2,<1.16.0']
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conda-forge::keras[version='>=3.10.0,<3.11.0']
31+
conda-forge::py-xgboost-cpu[version='>=2.1.4,<2.2.0']
32+
conda-forge::jupyterlab[version='>=4.4.4,<4.5.0']
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39+
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conda-forge::sagemaker-kernel-wrapper[version='>=0.0.5,<0.1.0']
41+
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conda-forge::notebook[version='>=7.4.4,<7.5.0']
47+
conda-forge::altair[version='>=5.5.0,<5.6.0']
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conda-forge::sagemaker-studio-analytics-extension[version='>=0.2.0,<0.3.0']
49+
conda-forge::jupyter-dash[version='>=0.4.2,<0.5.0']
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conda-forge::sagemaker-jupyterlab-extension[version='>=0.5.0,<0.6.0']
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conda-forge::sagemaker-jupyterlab-emr-extension[version='>=0.4.0,<0.5.0']
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53+
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conda-forge::jupyterlab-git[version='>=0.51.2,<0.52.0']
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conda-forge::pyhive[version='>=0.7.0,<0.8.0']
56+
conda-forge::python-gssapi[version='>=1.9.0,<1.10.0']
57+
conda-forge::tf-keras[version='>=2.18.0,<2.19.0']
58+
conda-forge::git-remote-codecommit[version='>=1.16,<1.17.0']
59+
conda-forge::docker-cli[version='>=27.5.1,<27.6.0']
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conda-forge::sagemaker-studio-cli[version='>=1.0.6,<1.1.0']
61+
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62+
conda-forge::sagemaker-studio-dataengineering-sessions[version='>=1.1.2,<1.2.0']
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conda-forge::sagemaker-studio-dataengineering-extensions[version='>=1.1.2,<1.2.0']
64+
conda-forge::amzn-sagemaker-aiops-jupyterlab-extension[version='>=1.0.4,<1.1.0']
65+
conda-forge::aws-s3-access-grants-boto3-plugin[version='>=1.2.0,<1.3.0']

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