Merge branch 'release-1.34.139'

* release-1.34.139:
  Bumping version to 1.34.139
  Update endpoints model
  Update to latest models
  Bump aws-actions/stale-issue-cleanup

.changes/1.34.139.json

@@ -0,0 +1,27 @@
+[
+  {
+    "category": "``application-autoscaling``",
+    "description": "Doc only update for Application Auto Scaling that fixes resource name.",
+    "type": "api-change"
+  },
+  {
+    "category": "``directconnect``",
+    "description": "This update includes documentation for support of new native 400 GBps ports for Direct Connect.",
+    "type": "api-change"
+  },
+  {
+    "category": "``organizations``",
+    "description": "Added a new reason under ConstraintViolationException in RegisterDelegatedAdministrator API to prevent registering suspended accounts as delegated administrator of a service.",
+    "type": "api-change"
+  },
+  {
+    "category": "``rekognition``",
+    "description": "This release adds support for tagging projects and datasets with the CreateProject and CreateDataset APIs.",
+    "type": "api-change"
+  },
+  {
+    "category": "``workspaces``",
+    "description": "Fix create workspace bundle RootStorage/UserStorage to accept non null values",
+    "type": "api-change"
+  }
+]

.github/workflows/stale_issue.yml

@@ -17,7 +17,7 @@ jobs:
     runs-on: ubuntu-latest
     name: Stale issue job
     steps:
-    - uses: aws-actions/stale-issue-cleanup@389be0117d7661840b887276b5da1cc6ddf95c8a
+    - uses: aws-actions/stale-issue-cleanup@2017b87caa8e25014362d434a980d60fa758f3af
       with:
         issue-types: issues
         stale-issue-message: Greetings! It looks like this issue hasn’t been 

CHANGELOG.rst

@@ -2,6 +2,16 @@
 CHANGELOG
 =========
 
+1.34.139
+========
+
+* api-change:``application-autoscaling``: Doc only update for Application Auto Scaling that fixes resource name.
+* api-change:``directconnect``: This update includes documentation for support of new native 400 GBps ports for Direct Connect.
+* api-change:``organizations``: Added a new reason under ConstraintViolationException in RegisterDelegatedAdministrator API to prevent registering suspended accounts as delegated administrator of a service.
+* api-change:``rekognition``: This release adds support for tagging projects and datasets with the CreateProject and CreateDataset APIs.
+* api-change:``workspaces``: Fix create workspace bundle RootStorage/UserStorage to accept non null values
+
+
 1.34.138
 ========
 

botocore/__init__.py

@@ -16,7 +16,7 @@
 import os
 import re
 
-__version__ = '1.34.138'
+__version__ = '1.34.139'
 
 
 class NullHandler(logging.Handler):

botocore/data/endpoints.json

@@ -8690,6 +8690,16 @@
           }
         }
       },
+      "globalaccelerator" : {
+        "endpoints" : {
+          "fips-us-west-2" : {
+            "credentialScope" : {
+              "region" : "us-west-2"
+            },
+            "hostname" : "globalaccelerator-fips.us-west-2.amazonaws.com"
+          }
+        }
+      },
       "glue" : {
         "endpoints" : {
           "af-south-1" : { },
@@ -13143,6 +13153,12 @@
             },
             "hostname" : "oidc.ca-central-1.amazonaws.com"
           },
+          "ca-west-1" : {
+            "credentialScope" : {
+              "region" : "ca-west-1"
+            },
+            "hostname" : "oidc.ca-west-1.amazonaws.com"
+          },
           "eu-central-1" : {
             "credentialScope" : {
               "region" : "eu-central-1"

botocore/data/rekognition/2016-06-27/service-2.json

@@ -752,7 +752,7 @@
         {"shape":"ResourceNotFoundException"},
         {"shape":"ThrottlingException"}
       ],
-      "documentation":"<p>Gets the label detection results of a Amazon Rekognition Video analysis started by <a>StartLabelDetection</a>. </p> <p>The label detection operation is started by a call to <a>StartLabelDetection</a> which returns a job identifier (<code>JobId</code>). When the label detection operation finishes, Amazon Rekognition publishes a completion status to the Amazon Simple Notification Service topic registered in the initial call to <code>StartlabelDetection</code>. </p> <p>To get the results of the label detection operation, first check that the status value published to the Amazon SNS topic is <code>SUCCEEDED</code>. If so, call <a>GetLabelDetection</a> and pass the job identifier (<code>JobId</code>) from the initial call to <code>StartLabelDetection</code>.</p> <p> <code>GetLabelDetection</code> returns an array of detected labels (<code>Labels</code>) sorted by the time the labels were detected. You can also sort by the label name by specifying <code>NAME</code> for the <code>SortBy</code> input parameter. If there is no <code>NAME</code> specified, the default sort is by timestamp.</p> <p>You can select how results are aggregated by using the <code>AggregateBy</code> input parameter. The default aggregation method is <code>TIMESTAMPS</code>. You can also aggregate by <code>SEGMENTS</code>, which aggregates all instances of labels detected in a given segment. </p> <p>The returned Labels array may include the following attributes:</p> <ul> <li> <p>Name - The name of the detected label.</p> </li> <li> <p>Confidence - The level of confidence in the label assigned to a detected object. </p> </li> <li> <p>Parents - The ancestor labels for a detected label. GetLabelDetection returns a hierarchical taxonomy of detected labels. For example, a detected car might be assigned the label car. The label car has two parent labels: Vehicle (its parent) and Transportation (its grandparent). The response includes the all ancestors for a label, where every ancestor is a unique label. In the previous example, Car, Vehicle, and Transportation are returned as unique labels in the response. </p> </li> <li> <p> Aliases - Possible Aliases for the label. </p> </li> <li> <p>Categories - The label categories that the detected label belongs to.</p> </li> <li> <p>BoundingBox — Bounding boxes are described for all instances of detected common object labels, returned in an array of Instance objects. An Instance object contains a BoundingBox object, describing the location of the label on the input image. It also includes the confidence for the accuracy of the detected bounding box.</p> </li> <li> <p>Timestamp - Time, in milliseconds from the start of the video, that the label was detected. For aggregation by <code>SEGMENTS</code>, the <code>StartTimestampMillis</code>, <code>EndTimestampMillis</code>, and <code>DurationMillis</code> structures are what define a segment. Although the “Timestamp” structure is still returned with each label, its value is set to be the same as <code>StartTimestampMillis</code>.</p> </li> </ul> <p>Timestamp and Bounding box information are returned for detected Instances, only if aggregation is done by <code>TIMESTAMPS</code>. If aggregating by <code>SEGMENTS</code>, information about detected instances isn’t returned. </p> <p>The version of the label model used for the detection is also returned.</p> <p> <b>Note <code>DominantColors</code> isn't returned for <code>Instances</code>, although it is shown as part of the response in the sample seen below.</b> </p> <p>Use <code>MaxResults</code> parameter to limit the number of labels returned. If there are more results than specified in <code>MaxResults</code>, the value of <code>NextToken</code> in the operation response contains a pagination token for getting the next set of results. To get the next page of results, call <code>GetlabelDetection</code> and populate the <code>NextToken</code> request parameter with the token value returned from the previous call to <code>GetLabelDetection</code>.</p>"
+      "documentation":"<p>Gets the label detection results of a Amazon Rekognition Video analysis started by <a>StartLabelDetection</a>. </p> <p>The label detection operation is started by a call to <a>StartLabelDetection</a> which returns a job identifier (<code>JobId</code>). When the label detection operation finishes, Amazon Rekognition publishes a completion status to the Amazon Simple Notification Service topic registered in the initial call to <code>StartlabelDetection</code>. </p> <p>To get the results of the label detection operation, first check that the status value published to the Amazon SNS topic is <code>SUCCEEDED</code>. If so, call <a>GetLabelDetection</a> and pass the job identifier (<code>JobId</code>) from the initial call to <code>StartLabelDetection</code>.</p> <p> <code>GetLabelDetection</code> returns an array of detected labels (<code>Labels</code>) sorted by the time the labels were detected. You can also sort by the label name by specifying <code>NAME</code> for the <code>SortBy</code> input parameter. If there is no <code>NAME</code> specified, the default sort is by timestamp.</p> <p>You can select how results are aggregated by using the <code>AggregateBy</code> input parameter. The default aggregation method is <code>TIMESTAMPS</code>. You can also aggregate by <code>SEGMENTS</code>, which aggregates all instances of labels detected in a given segment. </p> <p>The returned Labels array may include the following attributes:</p> <ul> <li> <p>Name - The name of the detected label.</p> </li> <li> <p>Confidence - The level of confidence in the label assigned to a detected object. </p> </li> <li> <p>Parents - The ancestor labels for a detected label. GetLabelDetection returns a hierarchical taxonomy of detected labels. For example, a detected car might be assigned the label car. The label car has two parent labels: Vehicle (its parent) and Transportation (its grandparent). The response includes the all ancestors for a label, where every ancestor is a unique label. In the previous example, Car, Vehicle, and Transportation are returned as unique labels in the response. </p> </li> <li> <p> Aliases - Possible Aliases for the label. </p> </li> <li> <p>Categories - The label categories that the detected label belongs to.</p> </li> <li> <p>BoundingBox — Bounding boxes are described for all instances of detected common object labels, returned in an array of Instance objects. An Instance object contains a BoundingBox object, describing the location of the label on the input image. It also includes the confidence for the accuracy of the detected bounding box.</p> </li> <li> <p>Timestamp - Time, in milliseconds from the start of the video, that the label was detected. For aggregation by <code>SEGMENTS</code>, the <code>StartTimestampMillis</code>, <code>EndTimestampMillis</code>, and <code>DurationMillis</code> structures are what define a segment. Although the “Timestamp” structure is still returned with each label, its value is set to be the same as <code>StartTimestampMillis</code>.</p> </li> </ul> <p>Timestamp and Bounding box information are returned for detected Instances, only if aggregation is done by <code>TIMESTAMPS</code>. If aggregating by <code>SEGMENTS</code>, information about detected instances isn’t returned. </p> <p>The version of the label model used for the detection is also returned.</p> <p> <b>Note <code>DominantColors</code> isn't returned for <code>Instances</code>, although it is shown as part of the response in the sample seen below.</b> </p> <p>Use <code>MaxResults</code> parameter to limit the number of labels returned. If there are more results than specified in <code>MaxResults</code>, the value of <code>NextToken</code> in the operation response contains a pagination token for getting the next set of results. To get the next page of results, call <code>GetlabelDetection</code> and populate the <code>NextToken</code> request parameter with the token value returned from the previous call to <code>GetLabelDetection</code>.</p> <p>If you are retrieving results while using the Amazon Simple Notification Service, note that you will receive an \"ERROR\" notification if the job encounters an issue.</p>"
     },
     "GetMediaAnalysisJob":{
       "name":"GetMediaAnalysisJob",
@@ -2206,6 +2206,10 @@
         "ProjectArn":{
           "shape":"ProjectArn",
           "documentation":"<p> The ARN of the Amazon Rekognition Custom Labels project to which you want to asssign the dataset. </p>"
+        },
+        "Tags":{
+          "shape":"TagMap",
+          "documentation":"<p>A set of tags (key-value pairs) that you want to attach to the dataset.</p>"
         }
       }
     },
@@ -2274,6 +2278,10 @@
         "AutoUpdate":{
           "shape":"ProjectAutoUpdate",
           "documentation":"<p>Specifies whether automatic retraining should be attempted for the versions of the project. Automatic retraining is done as a best effort. Required argument for Content Moderation. Applicable only to adapters.</p>"
+        },
+        "Tags":{
+          "shape":"TagMap",
+          "documentation":"<p>A set of tags (key-value pairs) that you want to attach to the project.</p>"
         }
       }
     },
@@ -3285,7 +3293,7 @@
       "members":{
         "ModerationLabels":{
           "shape":"ModerationLabels",
-          "documentation":"<p>Array of detected Moderation labels and the time, in milliseconds from the start of the video, they were detected.</p>"
+          "documentation":"<p>Array of detected Moderation labels. For video operations, this includes the time, in milliseconds from the start of the video, they were detected.</p>"
         },
         "ModerationModelVersion":{
           "shape":"String",

botocore/data/workspaces/2015-04-08/service-2.json

@@ -5175,6 +5175,7 @@
     },
     "RootStorage":{
       "type":"structure",
+      "required":["Capacity"],
       "members":{
         "Capacity":{
           "shape":"NonEmptyString",
@@ -5921,6 +5922,7 @@
     },
     "UserStorage":{
       "type":"structure",
+      "required":["Capacity"],
       "members":{
         "Capacity":{
           "shape":"NonEmptyString",

docs/source/conf.py

@@ -59,7 +59,7 @@
 # The short X.Y version.
 version = '1.34.1'
 # The full version, including alpha/beta/rc tags.
-release = '1.34.138'
+release = '1.34.139'
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.