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Merge branch 'release-1.41.1' into develop
* release-1.41.1: Bumping version to 1.41.1 Update changelog based on model updates
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.changes/1.41.1.json

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[
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{
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"category": "``cleanroomsml``",
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"description": "This release introduces support for incremental training and distributed training for custom models in AWS Clean Rooms ML.",
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"type": "api-change"
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},
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{
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"category": "``datazone``",
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"description": "Add support for the new optional domain-unit-id parameter in the UpdateProject API.",
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"type": "api-change"
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},
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{
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"category": "``ec2``",
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"description": "Add Context to GetInstanceTypesFromInstanceRequirements API",
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"type": "api-change"
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},
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{
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"category": "``odb``",
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"description": "This release adds API operations for Oracle Database@AWS. You can use the APIs to create Exadata infrastructure, ODB networks, and Exadata and Autonomous VM clusters inside AWS data centers. The infrastructure is managed by OCI. You can integrate these resources with AWS services.",
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"type": "api-change"
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},
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{
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"category": "``qbusiness``",
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"description": "New ChatResponseConfiguration to Customize Q Business chat responses for specific use cases and communication needs. Updated Boosting capability allowing admins to provide preference on date attributes for recency and/or provide a preferred data source.",
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"type": "api-change"
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},
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{
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"category": "``rds``",
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"description": "Amazon RDS Custom for Oracle now supports multi-AZ database instances.",
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"type": "api-change"
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},
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{
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"category": "``sagemaker``",
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"description": "Updated field validation requirements for InstanceGroups.",
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"type": "api-change"
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}
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]

CHANGELOG.rst

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CHANGELOG
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=========
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1.41.1
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======
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* api-change:``cleanroomsml``: This release introduces support for incremental training and distributed training for custom models in AWS Clean Rooms ML.
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* api-change:``datazone``: Add support for the new optional domain-unit-id parameter in the UpdateProject API.
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* api-change:``ec2``: Add Context to GetInstanceTypesFromInstanceRequirements API
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* api-change:``odb``: This release adds API operations for Oracle Database@AWS. You can use the APIs to create Exadata infrastructure, ODB networks, and Exadata and Autonomous VM clusters inside AWS data centers. The infrastructure is managed by OCI. You can integrate these resources with AWS services.
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* api-change:``qbusiness``: New ChatResponseConfiguration to Customize Q Business chat responses for specific use cases and communication needs. Updated Boosting capability allowing admins to provide preference on date attributes for recency and/or provide a preferred data source.
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* api-change:``rds``: Amazon RDS Custom for Oracle now supports multi-AZ database instances.
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* api-change:``sagemaker``: Updated field validation requirements for InstanceGroups.
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1.41.0
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======
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awscli/__init__.py

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import os
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__version__ = '1.41.0'
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__version__ = '1.41.1'
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#
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# Get our data path to be added to botocore's search path

doc/source/conf.py

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# The short X.Y version.
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version = '1.41'
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# The full version, including alpha/beta/rc tags.
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release = '1.41.0'
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release = '1.41.1'
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# The language for content autogenerated by Sphinx. Refer to documentation
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# for a list of supported languages.

setup.cfg

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[metadata]
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requires_dist =
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botocore==1.39.0
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botocore==1.39.1
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docutils>=0.18.1,<=0.19
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s3transfer>=0.13.0,<0.14.0
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PyYAML>=3.10,<6.1

setup.py

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install_requires = [
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'botocore==1.39.0',
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'botocore==1.39.1',
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'docutils>=0.18.1,<=0.19',
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's3transfer>=0.13.0,<0.14.0',
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'PyYAML>=3.10,<6.1',

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