Release v0.7.0 (#75)

* chore: generate build artifacts for 0.7.0 release

* chore: add env.out files for  release

build_artifacts/v0/v0.7/v0.7.0/CHANGELOG-cpu.md

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+# Change log: 0.7.0(cpu)
+
+## Upgrades: 
+
+Package | Previous Version | Current Version
+---|---|---
+boto3|1.28.49|1.28.52
+matplotlib|3.7.2|3.7.3
+scikit-learn|1.3.0|1.3.1
+sagemaker-python-sdk|2.186.0|2.187.0

build_artifacts/v0/v0.7/v0.7.0/CHANGELOG-gpu.md

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+# Change log: 0.7.0(gpu)
+
+## Upgrades: 
+
+Package | Previous Version | Current Version
+---|---|---
+boto3|1.28.49|1.28.52
+matplotlib|3.7.2|3.7.3
+scikit-learn|1.3.0|1.3.1
+sagemaker-python-sdk|2.186.0|2.187.0

build_artifacts/v0/v0.7/v0.7.0/Dockerfile

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+ARG TAG_FOR_BASE_MICROMAMBA_IMAGE
+FROM mambaorg/micromamba:$TAG_FOR_BASE_MICROMAMBA_IMAGE
+
+ARG CUDA_MAJOR_MINOR_VERSION=''
+ARG ENV_IN_FILENAME
+ARG ARG_BASED_ENV_IN_FILENAME
+
+ARG NB_USER="sagemaker-user"
+ARG NB_UID=1000
+ARG NB_GID=100
+
+USER root
+RUN usermod "--login=${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
+
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends sudo gettext-base wget curl unzip git && \
+    # 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 awscli && \
+    chmod g+w /etc/passwd && \
+    echo "ALL    ALL=(ALL)    NOPASSWD:    ALL" >> /etc/sudoers && \
+    # 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.
+    :
+RUN echo "source /usr/local/bin/_activate_current_env.sh" | tee --append /etc/profile
+
+USER $MAMBA_USER
+COPY --chown=$MAMBA_USER:$MAMBA_USER $ENV_IN_FILENAME *.in /tmp/
+
+# 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/$ENV_IN_FILENAME ; \
+    fi
+
+ARG CONDA_OVERRIDE_CUDA=$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
+
+ARG MAMBA_DOCKERFILE_ACTIVATE=1
+RUN sudo ln -s $(which python3) /usr/bin/python
+
+USER root
+RUN HOME_DIR="/home/${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*
+
+USER $MAMBA_USER
+ENV PATH="/opt/conda/bin:/opt/conda/condabin:$PATH"
+WORKDIR "/home/${NB_USER}"
+ENV SHELL=/bin/bash

build_artifacts/v0/v0.7/v0.7.0/cpu.env.in

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+# This file is auto-generated.
+conda-forge::pytorch[version='>=2.0.0,<3.0.0']
+conda-forge::tensorflow[version='>=2.12.1,<3.0.0']
+conda-forge::python[version='>=3.8.17,<3.9.0']
+conda-forge::pip[version='>=23.2.1,<24.0.0']
+conda-forge::torchvision[version='>=0.15.2,<1.0.0']
+conda-forge::numpy[version='>=1.24.4,<2.0.0']
+conda-forge::pandas[version='>=2.0.3,<3.0.0']
+conda-forge::scikit-learn[version='>=1.3.0,<2.0.0']
+conda-forge::jinja2[version='>=3.1.2,<4.0.0']
+conda-forge::matplotlib[version='>=3.7.2,<4.0.0']
+conda-forge::ipython[version='>=8.12.2,<9.0.0']
+conda-forge::scipy[version='>=1.10.1,<2.0.0']
+conda-forge::keras[version='>=2.12.0,<3.0.0']
+conda-forge::py-xgboost-cpu[version='>=1.7.6,<2.0.0']
+conda-forge::jupyterlab[version='>=3.6.5,<4.0.0']
+conda-forge::ipywidgets[version='>=8.1.1,<9.0.0']
+conda-forge::conda[version='>=23.7.4,<24.0.0']
+conda-forge::boto3[version='>=1.28.49,<2.0.0']
+conda-forge::sagemaker-python-sdk[version='>=2.186.0,<3.0.0']

build_artifacts/v0/v0.7/v0.7.0/gpu.arg_based_env.in

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+conda-forge::cudatoolkit=$CUDA_MAJOR_MINOR_VERSION

build_artifacts/v0/v0.7/v0.7.0/gpu.env.in

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+# This file is auto-generated.
+conda-forge::pytorch-gpu[version='>=2.0.0,<3.0.0']
+conda-forge::tensorflow[version='>=2.12.1,<3.0.0']
+conda-forge::python[version='>=3.8.17,<3.9.0']
+conda-forge::pip[version='>=23.2.1,<24.0.0']
+conda-forge::torchvision[version='>=0.15.2,<1.0.0']
+conda-forge::numpy[version='>=1.24.4,<2.0.0']
+conda-forge::pandas[version='>=2.0.3,<3.0.0']
+conda-forge::scikit-learn[version='>=1.3.0,<2.0.0']
+conda-forge::jinja2[version='>=3.1.2,<4.0.0']
+conda-forge::matplotlib[version='>=3.7.2,<4.0.0']
+conda-forge::ipython[version='>=8.12.2,<9.0.0']
+conda-forge::scipy[version='>=1.10.1,<2.0.0']
+conda-forge::keras[version='>=2.12.0,<3.0.0']
+conda-forge::py-xgboost-gpu[version='>=1.7.6,<2.0.0']
+conda-forge::jupyterlab[version='>=3.6.5,<4.0.0']
+conda-forge::ipywidgets[version='>=8.1.1,<9.0.0']
+conda-forge::conda[version='>=23.7.4,<24.0.0']
+conda-forge::boto3[version='>=1.28.49,<2.0.0']
+conda-forge::sagemaker-python-sdk[version='>=2.186.0,<3.0.0']