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Merge branch 'release-1.23.10'
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* release-1.23.10:
  Bumping version to 1.23.10
  Add changelog entries from botocore
  • Loading branch information
aws-sdk-python-automation committed May 27, 2022
2 parents 4353a5d + dfea856 commit ab4e38f
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22 changes: 22 additions & 0 deletions .changes/1.23.10.json
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[
{
"category": "``sagemaker``",
"description": "[``botocore``] Amazon SageMaker Notebook Instances now allows configuration of Instance Metadata Service version and Amazon SageMaker Studio now supports G5 instance types.",
"type": "api-change"
},
{
"category": "``appflow``",
"description": "[``botocore``] Adding the following features/changes: Parquet output that preserves typing from the source connector, Failed executions threshold before deactivation for scheduled flows, increasing max size of access and refresh token from 2048 to 4096",
"type": "api-change"
},
{
"category": "``datasync``",
"description": "[``botocore``] AWS DataSync now supports TLS encryption in transit, file system policies and access points for EFS locations.",
"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"
}
]
9 changes: 9 additions & 0 deletions CHANGELOG.rst
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CHANGELOG
=========

1.23.10
=======

* api-change:``sagemaker``: [``botocore``] Amazon SageMaker Notebook Instances now allows configuration of Instance Metadata Service version and Amazon SageMaker Studio now supports G5 instance types.
* api-change:``appflow``: [``botocore``] Adding the following features/changes: Parquet output that preserves typing from the source connector, Failed executions threshold before deactivation for scheduled flows, increasing max size of access and refresh token from 2048 to 4096
* api-change:``datasync``: [``botocore``] AWS DataSync now supports TLS encryption in transit, file system policies and access points for EFS locations.
* 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.


1.23.9
======

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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__ = '1.23.9'
__version__ = '1.23.10'


# 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>=1.26.9,<1.27.0
botocore>=1.26.10,<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>=1.26.9,<1.27.0',
'botocore>=1.26.10,<1.27.0',
'jmespath>=0.7.1,<2.0.0',
's3transfer>=0.5.0,<0.6.0',
]
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