release: v1.6.0

[claytonparnell]

Issue #, if available:

Description of changes:

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Staleness Report: 1.6.0(gpu)

Package	Current Version in the Distribution image	Latest Relevant Version in Upstream
numpy	1.26.4	1.26.4
jinja2	3.1.3	3.1.3
${\color{red}pandas}$	2.1.4	2.2.1
altair	5.2.0	5.2.0
${\color{red}boto3}$	1.34.51	1.34.60
ipython	8.22.2	8.22.2
jupyter-lsp	2.2.4	2.2.4
jupyterlab	4.1.4	4.1.4
amazon-codewhisperer-jupyterlab-ext	2.0.1	2.0.1
jupyter-scheduler	2.5.1	2.5.1
amazon-sagemaker-jupyter-scheduler	3.0.7	3.0.7
amazon-sagemaker-sql-magic	0.1.0	0.1.0
${\color{red}jupyterlab-lsp}$	5.0.3	5.1.0
amazon_sagemaker_sql_editor	0.1.3	0.1.3
${\color{red}scipy}$	1.11.4	1.12.0
scikit-learn	1.4.1.post1	1.4.1.post1
pip	23.3.2	23.3.2
${\color{red}torchvision}$	0.15.2	0.16.1
autogluon	0.8.2	0.8.2
ipywidgets	8.1.2	8.1.2
notebook	7.1.1	7.1.1
aws-glue-sessions	1.0.4	1.0.4
conda	23.11.0	23.11.0
${\color{red}fastapi}$	0.103.2	0.110.0
${\color{red}langchain}$	0.1.9	0.1.11
jupyter-ai	2.11.0	2.11.0
jupyter-dash	0.4.2	0.4.2
jupyter-server-proxy	4.1.0	4.1.0
jupyterlab-git	0.50.0	0.50.0
${\color{red}keras}$	2.12.0	2.15.0
matplotlib	3.8.3	3.8.3
nodejs	18.19.0	18.19.0
py-xgboost-gpu	1.7.6	1.7.6
thrift_sasl	0.4.3	0.4.3
pyhive	0.7.0	0.7.0
python-gssapi	1.8.3	1.8.3
python-lsp-server	1.10.0	1.10.0
${\color{red}pytorch-gpu}$	2.0.0	2.1.2
sagemaker-headless-execution-driver	0.0.12	0.0.12
sagemaker-jupyterlab-emr-extension	0.1.9	0.1.9
sagemaker-jupyterlab-extension	0.2.0	0.2.0
sagemaker-kernel-wrapper	0.0.2	0.0.2
sagemaker-python-sdk	2.212.0	2.212.0
sagemaker-studio-analytics-extension	0.0.21	0.0.21
sasl	0.3.1	0.3.1
supervisor	4.2.5	4.2.5
${\color{red}tensorflow}$	2.12.1	2.15.0
uvicorn	0.28.0	0.28.0

Staleness Report: 1.6.0(cpu)

Package	Current Version in the Distribution image	Latest Relevant Version in Upstream
numpy	1.26.4	1.26.4
jinja2	3.1.3	3.1.3
${\color{red}pytorch}$	2.0.0	2.1.2
${\color{red}pandas}$	2.1.4	2.2.1
altair	5.2.0	5.2.0
${\color{red}boto3}$	1.34.51	1.34.60
ipython	8.22.2	8.22.2
jupyter-lsp	2.2.4	2.2.4
jupyterlab	4.1.4	4.1.4
amazon-codewhisperer-jupyterlab-ext	2.0.1	2.0.1
jupyter-scheduler	2.5.1	2.5.1
amazon-sagemaker-jupyter-scheduler	3.0.7	3.0.7
amazon-sagemaker-sql-magic	0.1.0	0.1.0
${\color{red}jupyterlab-lsp}$	5.0.3	5.1.0
amazon_sagemaker_sql_editor	0.1.3	0.1.3
${\color{red}scipy}$	1.11.4	1.12.0
scikit-learn	1.4.1.post1	1.4.1.post1
pip	23.3.2	23.3.2
${\color{red}torchvision}$	0.15.2	0.16.1
autogluon	0.8.2	0.8.2
ipywidgets	8.1.2	8.1.2
notebook	7.1.1	7.1.1
aws-glue-sessions	1.0.4	1.0.4
conda	23.11.0	23.11.0
${\color{red}fastapi}$	0.103.2	0.110.0
${\color{red}langchain}$	0.1.9	0.1.11
jupyter-ai	2.11.0	2.11.0
jupyter-dash	0.4.2	0.4.2
jupyter-server-proxy	4.1.0	4.1.0
jupyterlab-git	0.50.0	0.50.0
${\color{red}keras}$	2.12.0	2.15.0
matplotlib	3.8.3	3.8.3
nodejs	18.19.0	18.19.0
py-xgboost-cpu	1.7.6	1.7.6
thrift_sasl	0.4.3	0.4.3
pyhive	0.7.0	0.7.0
python-gssapi	1.8.3	1.8.3
python-lsp-server	1.10.0	1.10.0
sagemaker-headless-execution-driver	0.0.12	0.0.12
sagemaker-jupyterlab-emr-extension	0.1.9	0.1.9
sagemaker-jupyterlab-extension	0.2.0	0.2.0
sagemaker-kernel-wrapper	0.0.2	0.0.2
sagemaker-python-sdk	2.212.0	2.212.0
sagemaker-studio-analytics-extension	0.0.21	0.0.21
sasl	0.3.1	0.3.1
supervisor	4.2.5	4.2.5
${\color{red}tensorflow}$	2.12.1	2.15.0
uvicorn	0.28.0	0.28.0

[claytonparnell]

Stale Packages:

package	reason for pin
pandas	autogluon.core requires >=1.4.1,<2.2
boto3	aiobotocore requires botocore>=1.34.41,<1.34.52
jupyterlab-lsp	amazon_sagemaker_sql_editor (new pkg) requires jupyterlab-lsp==5.0.*
scipy	autogluon.tabular requires scipy >=1.5.4,<1.12
torchvision	autogluon.multimodal requires torchvision >=0.15.0,<0.16.0
pytorch	autogluon.multimodal requires pytorch >=2.0,<2.1
fastapi	tensorflow 2.12.1 requires typing_extensions >=3.6.6,<4.6.0, newer fastapi requires typing-extensions >=4.8.0
langchain	jupyter-ai 2.11 requires jupyter-ai-magics 2.11 which requires langchain >=0.1.0,<0.2.0
keras	tensorflow 2.12.1 requires keras >=2.12,<2.13
tensorflow	autogluon requires pillow >=9.3,<9.6 which requires libjpeg-turbo >=2.1.5.1,<3.0a0; tensorflow requires libjpeg-turbo >=3.0.0,<4.0a0

Upgrading autogluon to 1.0.0 would seem to unblock many critical packages for upgrade, but even 1.0.0 pins pytorch<2.1.

[claytonparnell]

=========================================================================================================================== short test summary info ==================================================================
==========================================================
FAILED test/test_dockerfile_based_harness.py::test_dockerfiles_for_gpu[keras.test.Dockerfile-required_packages0] - assert 1 == 0
FAILED test/test_dockerfile_based_harness.py::test_dockerfiles_for_gpu[scipy.test.Dockerfile-required_packages4] - assert 1 == 0
FAILED test/test_dockerfile_based_harness.py::test_dockerfiles_for_gpu[sm-python-sdk.test.Dockerfile-required_packages8] - assert 1 == 0
FAILED test/test_dockerfile_based_harness.py::test_dockerfiles_for_gpu[pandas.test.Dockerfile-required_packages7] - assert 1 == 0
====================================================================================================== 4 failed, 19 passed, 2 skipped, 16 warnings in 3797.35s (1:03:17) =============================================
==========================================================

NOTE - keras passed when run individually
scipy and pandas failed with known failures tracked in #110 and #30
sm-python-sdk failed due to docker command not being accessible within the build image. Since we're not running the image, we're just doing build, need to find out how to do privileged mode for these to work.