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Merge branch 'release-1.24.9'
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* release-1.24.9:
  Bumping version to 1.24.9
  Update changelog based on model updates
  delete 'instance_type_config_keys' variable
  delete 'ec2_instance_attr' variable
  delete 'ec2_instance_attr_keys' variable
  delete unused variable
  delete 'name' variable
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aws-sdk-python-automation committed May 26, 2022
2 parents bbf7378 + 4c24413 commit 7f04197
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Showing 10 changed files with 37 additions and 17 deletions.
22 changes: 22 additions & 0 deletions .changes/1.24.9.json
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[
{
"category": "``ec2``",
"description": "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": "``emr-serverless``",
"description": "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": "``forecast``",
"description": "Introduced a new field in Auto Predictor as Time Alignment Boundary. It helps in aligning the timestamps generated during Forecast exports",
"type": "api-change"
},
{
"category": "``lightsail``",
"description": "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"
}
]
9 changes: 9 additions & 0 deletions CHANGELOG.rst
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Expand Up @@ -2,6 +2,15 @@
CHANGELOG
=========

1.24.9
======

* api-change:``ec2``: C7g instances, powered by the latest generation AWS Graviton3 processors, provide the best price performance in Amazon EC2 for compute-intensive workloads.
* api-change:``emr-serverless``: 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:``forecast``: Introduced a new field in Auto Predictor as Time Alignment Boundary. It helps in aligning the timestamps generated during Forecast exports
* api-change:``lightsail``: Amazon Lightsail now supports the ability to configure a Lightsail Container Service to pull images from Amazon ECR private repositories in your account.


1.24.8
======

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2 changes: 1 addition & 1 deletion awscli/__init__.py
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Expand Up @@ -17,7 +17,7 @@
"""
import os

__version__ = '1.24.8'
__version__ = '1.24.9'

#
# Get our data path to be added to botocore's search path
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2 changes: 1 addition & 1 deletion awscli/clidocs.py
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Expand Up @@ -38,7 +38,7 @@ def __init__(self, help_command):

def _build_arg_table_groups(self, help_command):
arg_groups = {}
for name, arg in help_command.arg_table.items():
for arg in help_command.arg_table.values():
if arg.group_name is not None:
arg_groups.setdefault(arg.group_name, []).append(arg)
return arg_groups
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8 changes: 0 additions & 8 deletions awscli/customizations/emr/describecluster.py
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Expand Up @@ -42,14 +42,6 @@ def _run_main_command(self, parsed_args, parsed_globals):
if describe_cluster.get('InstanceCollectionType') == constants.INSTANCE_FLEET_TYPE:
is_fleet_based_cluster = True

if 'Ec2InstanceAttributes' in describe_cluster:
ec2_instance_attr_keys = \
describe_cluster['Ec2InstanceAttributes'].keys()
ec2_instance_attr = \
describe_cluster['Ec2InstanceAttributes']
else:
ec2_instance_attr_keys = {}

if is_fleet_based_cluster:
list_instance_fleets_result = self._call(
self._session, 'list_instance_fleets', parameters,
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3 changes: 0 additions & 3 deletions awscli/customizations/emr/instancefleetsutils.py
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Expand Up @@ -40,9 +40,6 @@ def validate_and_build_instance_fleets(parsed_instance_fleets):
instance_fleet_config['TargetSpotCapacity'] = instance_fleet['TargetSpotCapacity']

if 'InstanceTypeConfigs' in keys:
if 'TargetSpotCapacity' in keys:
for instance_type_config in instance_fleet['InstanceTypeConfigs']:
instance_type_config_keys = instance_type_config.keys()
instance_fleet_config['InstanceTypeConfigs'] = instance_fleet['InstanceTypeConfigs']

if 'LaunchSpecifications' in keys:
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2 changes: 1 addition & 1 deletion awscli/customizations/toplevelbool.py
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Expand Up @@ -57,7 +57,7 @@ def pull_up_bool(argument_table, event_handler, **kwargs):
'operation-args-parsed.ec2.*',
partial(validate_boolean_mutex_groups,
boolean_pairs=boolean_pairs))
for key, value in list(argument_table.items()):
for value in list(argument_table.values()):
if hasattr(value, 'argument_model'):
arg_model = value.argument_model
if _qualifies_for_simplification(arg_model):
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2 changes: 1 addition & 1 deletion doc/source/conf.py
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Expand Up @@ -52,7 +52,7 @@
# The short X.Y version.
version = '1.24'
# The full version, including alpha/beta/rc tags.
release = '1.24.8'
release = '1.24.9'

# The language for content autogenerated by Sphinx. Refer to documentation
# for a list of supported languages.
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2 changes: 1 addition & 1 deletion setup.cfg
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Expand Up @@ -3,7 +3,7 @@ universal = 0

[metadata]
requires_dist =
botocore==1.26.8
botocore==1.26.9
docutils>=0.10,<0.17
s3transfer>=0.5.0,<0.6.0
PyYAML>=3.10,<5.5
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2 changes: 1 addition & 1 deletion setup.py
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Expand Up @@ -24,7 +24,7 @@ def find_version(*file_paths):


install_requires = [
'botocore==1.26.8',
'botocore==1.26.9',
'docutils>=0.10,<0.17',
's3transfer>=0.5.0,<0.6.0',
'PyYAML>=3.10,<5.5',
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