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Bumping version to 1.23.9
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aws-sdk-python-automation committed May 26, 2022
1 parent fbfd48f commit 1e2df44
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22 changes: 22 additions & 0 deletions .changes/1.23.9.json
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[
{
"category": "``lightsail``",
"description": "[``botocore``] Amazon Lightsail now supports the ability to configure a Lightsail Container Service to pull images from Amazon ECR private repositories in your account.",
"type": "api-change"
},
{
"category": "``emr-serverless``",
"description": "[``botocore``] This release adds support for Amazon EMR Serverless, a serverless runtime environment that simplifies running analytics applications using the latest open source frameworks such as Apache Spark and Apache Hive.",
"type": "api-change"
},
{
"category": "``ec2``",
"description": "[``botocore``] C7g instances, powered by the latest generation AWS Graviton3 processors, provide the best price performance in Amazon EC2 for compute-intensive workloads.",
"type": "api-change"
},
{
"category": "``forecast``",
"description": "[``botocore``] Introduced a new field in Auto Predictor as Time Alignment Boundary. It helps in aligning the timestamps generated during Forecast exports",
"type": "api-change"
}
]
5 changes: 0 additions & 5 deletions .changes/next-release/api-change-ec2-89478.json

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5 changes: 0 additions & 5 deletions .changes/next-release/api-change-emrserverless-47634.json

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5 changes: 0 additions & 5 deletions .changes/next-release/api-change-forecast-3952.json

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5 changes: 0 additions & 5 deletions .changes/next-release/api-change-lightsail-60842.json

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9 changes: 9 additions & 0 deletions CHANGELOG.rst
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CHANGELOG
=========

1.23.9
======

* api-change:``lightsail``: [``botocore``] Amazon Lightsail now supports the ability to configure a Lightsail Container Service to pull images from Amazon ECR private repositories in your account.
* api-change:``emr-serverless``: [``botocore``] This release adds support for Amazon EMR Serverless, a serverless runtime environment that simplifies running analytics applications using the latest open source frameworks such as Apache Spark and Apache Hive.
* api-change:``ec2``: [``botocore``] C7g instances, powered by the latest generation AWS Graviton3 processors, provide the best price performance in Amazon EC2 for compute-intensive workloads.
* api-change:``forecast``: [``botocore``] Introduced a new field in Auto Predictor as Time Alignment Boundary. It helps in aligning the timestamps generated during Forecast exports


1.23.8
======

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2 changes: 1 addition & 1 deletion boto3/__init__.py
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from boto3.session import Session

__author__ = 'Amazon Web Services'
__version__ = '1.23.8'
__version__ = '1.23.9'


# The default Boto3 session; autoloaded when needed.
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2 changes: 1 addition & 1 deletion setup.cfg
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[metadata]
requires_dist =
botocore>=1.26.8,<1.27.0
botocore>=1.26.9,<1.27.0
jmespath>=0.7.1,<2.0.0
s3transfer>=0.5.0,<0.6.0

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2 changes: 1 addition & 1 deletion setup.py
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requires = [
'botocore>=1.26.8,<1.27.0',
'botocore>=1.26.9,<1.27.0',
'jmespath>=0.7.1,<2.0.0',
's3transfer>=0.5.0,<0.6.0',
]
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