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Merge branch 'release-1.33.3' into develop
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* release-1.33.3:
  Bumping version to 1.33.3
  Update to latest models
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@aws-sdk-python-automation
aws-sdk-python-automation committed Nov 29, 2023
2 parents febc9ea + 5cd4c65 commit ced3071
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47 changes: 47 additions & 0 deletions .changes/1.33.3.json
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[
{
"category": "``application-autoscaling``",
"description": "Amazon SageMaker customers can now use Application Auto Scaling to automatically scale the number of Inference Component copies across an endpoint to meet the varying demand of their workloads.",
"type": "api-change"
},
{
"category": "``cleanrooms``",
"description": "AWS Clean Rooms now provides differential privacy to protect against user-identification attempts and machine learning modeling to allow two parties to identify similar users in their data.",
"type": "api-change"
},
{
"category": "``cleanroomsml``",
"description": "Public Preview SDK release of AWS Clean Rooms ML APIs",
"type": "api-change"
},
{
"category": "``opensearch``",
"description": "Launching Amazon OpenSearch Service support for new zero-ETL integration with Amazon S3. Customers can now manage their direct query data sources to Amazon S3 programatically",
"type": "api-change"
},
{
"category": "``opensearchserverless``",
"description": "Amazon OpenSearch Serverless collections support an additional attribute called standby-replicas. This allows to specify whether a collection should have redundancy enabled.",
"type": "api-change"
},
{
"category": "``sagemaker-runtime``",
"description": "Update sagemaker-runtime client to latest version",
"type": "api-change"
},
{
"category": "``sagemaker``",
"description": "This release adds following support 1/ Improved SDK tooling for model deployment. 2/ New Inference Component based features to lower inference costs and latency 3/ SageMaker HyperPod management. 4/ Additional parameters for FM Fine Tuning in Autopilot",
"type": "api-change"
},
{
"category": "``sts``",
"description": "Documentation updates for AWS Security Token Service.",
"type": "api-change"
},
{
"category": "``endpoint-rules``",
"description": "Update endpoint-rules client to latest version",
"type": "api-change"
}
]
14 changes: 14 additions & 0 deletions CHANGELOG.rst
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CHANGELOG
=========

1.33.3
======

* api-change:``application-autoscaling``: Amazon SageMaker customers can now use Application Auto Scaling to automatically scale the number of Inference Component copies across an endpoint to meet the varying demand of their workloads.
* api-change:``cleanrooms``: AWS Clean Rooms now provides differential privacy to protect against user-identification attempts and machine learning modeling to allow two parties to identify similar users in their data.
* api-change:``cleanroomsml``: Public Preview SDK release of AWS Clean Rooms ML APIs
* api-change:``opensearch``: Launching Amazon OpenSearch Service support for new zero-ETL integration with Amazon S3. Customers can now manage their direct query data sources to Amazon S3 programatically
* api-change:``opensearchserverless``: Amazon OpenSearch Serverless collections support an additional attribute called standby-replicas. This allows to specify whether a collection should have redundancy enabled.
* api-change:``sagemaker-runtime``: Update sagemaker-runtime client to latest version
* api-change:``sagemaker``: This release adds following support 1/ Improved SDK tooling for model deployment. 2/ New Inference Component based features to lower inference costs and latency 3/ SageMaker HyperPod management. 4/ Additional parameters for FM Fine Tuning in Autopilot
* api-change:``sts``: Documentation updates for AWS Security Token Service.
* api-change:``endpoint-rules``: Update endpoint-rules client to latest version


1.33.2
======

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2 changes: 1 addition & 1 deletion botocore/__init__.py
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import os
import re

__version__ = '1.33.2'
__version__ = '1.33.3'


class NullHandler(logging.Handler):
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44 changes: 22 additions & 22 deletions botocore/data/application-autoscaling/2016-02-06/endpoint-rule-set-1.json
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]
}
],
"type": "tree",
"rules": [
{
"conditions": [
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},
"type": "endpoint"
}
]
],
"type": "tree"
},
{
"conditions": [
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]
}
],
"type": "tree",
"rules": [
{
"conditions": [
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"assign": "PartitionResult"
}
],
"type": "tree",
"rules": [
{
"conditions": [
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]
}
],
"type": "tree",
"rules": [
{
"conditions": [
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]
}
],
"type": "tree",
"rules": [
{
"conditions": [],
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},
"type": "endpoint"
}
]
],
"type": "tree"
},
{
"conditions": [],
"error": "FIPS and DualStack are enabled, but this partition does not support one or both",
"type": "error"
}
]
],
"type": "tree"
},
{
"conditions": [
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]
}
],
"type": "tree",
"rules": [
{
"conditions": [
{
"fn": "booleanEquals",
"argv": [
true,
{
"fn": "getAttr",
"argv": [
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},
"supportsFIPS"
]
}
},
true
]
}
],
"type": "tree",
"rules": [
{
"conditions": [
{
"fn": "stringEquals",
"argv": [
"aws-us-gov",
{
"fn": "getAttr",
"argv": [
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},
"name"
]
}
},
"aws-us-gov"
]
}
],
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},
"type": "endpoint"
}
]
],
"type": "tree"
},
{
"conditions": [],
"error": "FIPS is enabled but this partition does not support FIPS",
"type": "error"
}
]
],
"type": "tree"
},
{
"conditions": [
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]
}
],
"type": "tree",
"rules": [
{
"conditions": [
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]
}
],
"type": "tree",
"rules": [
{
"conditions": [],
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},
"type": "endpoint"
}
]
],
"type": "tree"
},
{
"conditions": [],
"error": "DualStack is enabled but this partition does not support DualStack",
"type": "error"
}
]
],
"type": "tree"
},
{
"conditions": [],
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},
"type": "endpoint"
}
]
],
"type": "tree"
}
]
],
"type": "tree"
},
{
"conditions": [],
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