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Merge branch 'release-1.37.18'
* release-1.37.18: Bumping version to 1.37.18 Update endpoints model Update to latest models
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‎.changes/1.37.18.json

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[
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{
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"category": "``bedrock``",
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"description": "A CustomModelUnit(CMU) is an abstract view of the hardware utilization that Bedrock needs to host a a single copy of your custom imported model. Bedrock determines the number of CMUs that a model copy needs when you import the custom model. You can use CMUs to estimate the cost of Inference's.",
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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 overriding selection of default AWS IAM Identity Center instance as part of Amazon DataZone domain APIs.",
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"type": "api-change"
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},
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{
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"category": "``route53-recovery-control-config``",
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"description": "Adds dual-stack (IPv4 and IPv6) endpoint support for route53-recovery-control-config operations, opt-in dual-stack addresses for cluster endpoints, and UpdateCluster API to update the network-type of clusters between IPv4 and dual-stack.",
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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": "This release does the following: 1.) Adds DurationHours as a required field to the SearchTrainingPlanOfferings action in the SageMaker AI API; 2.) Adds support for G6e instance types for SageMaker AI inference optimization jobs.",
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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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1.37.18
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=======
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* api-change:``bedrock``: A CustomModelUnit(CMU) is an abstract view of the hardware utilization that Bedrock needs to host a a single copy of your custom imported model. Bedrock determines the number of CMUs that a model copy needs when you import the custom model. You can use CMUs to estimate the cost of Inference's.
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* api-change:``datazone``: Add support for overriding selection of default AWS IAM Identity Center instance as part of Amazon DataZone domain APIs.
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* api-change:``route53-recovery-control-config``: Adds dual-stack (IPv4 and IPv6) endpoint support for route53-recovery-control-config operations, opt-in dual-stack addresses for cluster endpoints, and UpdateCluster API to update the network-type of clusters between IPv4 and dual-stack.
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* api-change:``sagemaker``: This release does the following: 1.) Adds DurationHours as a required field to the SearchTrainingPlanOfferings action in the SageMaker AI API; 2.) Adds support for G6e instance types for SageMaker AI inference optimization jobs.
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1.37.17
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=======
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‎botocore/__init__.py

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import os
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import re
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__version__ = '1.37.17'
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__version__ = '1.37.18'
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class NullHandler(logging.Handler):

‎botocore/data/bedrock/2023-04-20/service-2.json

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"type":"list",
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"member":{"shape":"CustomModelSummary"}
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},
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"documentation":"<p>The version of the custom model unit. Use to determine the billing rate for the custom model unit.</p>"
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}
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},
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"documentation":"<p>A <code>CustomModelUnit</code> (CMU) is an abstract view of the hardware utilization that Amazon Bedrock needs to host a single copy of your custom model. A model copy represents a single instance of your imported model that is ready to serve inference requests. Amazon Bedrock determines the number of custom model units that a model copy needs when you import the custom model. </p> <p>You can use <code>CustomModelUnits</code> to estimate the cost of running your custom model. For more information, see Calculate the cost of running a custom model in the Amazon Bedrock user guide. </p>"
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},
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"CustomModelUnitsVersion":{
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},
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"members":{
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"instructSupported":{
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"documentation":"<p>Specifies if the imported model supports converse.</p>"
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"documentation":"<p>Information about the hardware utilization for a single copy of the model.</p>"
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‎botocore/data/datazone/2018-05-10/service-2.json

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"documentation":"<p>The type of single sign-on in Amazon DataZone.</p>"
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‎botocore/data/endpoints.json

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