This release has been yanked by its maintainers, and will be ignored by installers, except when explicitly specified.
Reason given by maintainers: Project ownership transferred. This release represents the previous implementation and is not part of the official AWS SDK.
Getting Started
Installation
pip install aws-sdk-cleanroomsml
Usage
from aws_sdk_cleanroomsml import AsyncCleanRoomsMLClient
async def main():
async with AsyncCleanRoomsMLClient() as s3:
# Example: call the list_collaboration_configured_model_algorithm_associations operation
response = await s3.list_collaboration_configured_model_algorithm_associations()
print(response["next_token"])
Pagination
Some operations in this SDK support pagination. If the operation supports pagination it will have an iter_ prefixed method that returns an async iterator.
from aws_sdk_cleanroomsml import AsyncCleanRoomsMLClient
async def main():
async with AsyncCleanRoomsMLClient() as s3:
# Example: paginate over list_collaboration_configured_model_algorithm_associations
async for item in s3.iter_list_collaboration_configured_model_algorithm_associations():
print(item)
Error Handling
The SDK raises exceptions for errors returned by the API. Catch them to handle failures gracefully.
from aws_sdk_cleanroomsml import AsyncCleanRoomsMLClient
from aws_sdk_cleanroomsml.error import AccessDeniedException
async def main():
async with AsyncCleanRoomsMLClient() as s3:
try:
await s3.list_collaboration_configured_model_algorithm_associations()
except AccessDeniedException as e:
print(f"Error: {e}")
print(e.data) # additional error data
Retrying
The SDK retries failed operations automatically. Retry behaviour follows the Smithy specification: errors are retried based on their is_retryable and is_throttling_error attributes. Throttling errors use a longer base delay. Network-level failures (connection errors and timeouts) are also retried. Non-retryable errors, such as client errors without the @retryable trait, are raised immediately without further attempts.
The number of attempts defaults to 3 and can be changed at the client level via retry_max_attempts, or per call via config_overrides.
from aws_sdk_cleanroomsml import AsyncCleanRoomsMLClient
async def main():
async with AsyncCleanRoomsMLClient() as s3:
# Default: 3 attempts for every operation
response = await s3.list_collaboration_configured_model_algorithm_associations()
# Override per operation
response = await s3.list_collaboration_configured_model_algorithm_associations(config_overrides={"retry_max_attempts": 5})
# Disable retries for this call
response = await s3.list_collaboration_configured_model_algorithm_associations(config_overrides={"retry_max_attempts": 1})
Release files for aws-sdk-cleanroomsml 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| aws_sdk_cleanroomsml-0.1.0.tar.gz | 141.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| aws_sdk_cleanroomsml-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 567.9 kB
Release files / aws_sdk_cleanroomsml-0.1.0.tar.gz
| Download URL | aws_sdk_cleanroomsml-0.1.0.tar.gz |
|---|---|
| Size | 141.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / aws_sdk_cleanroomsml-0.1.0-py3-none-any.whl
| Download URL | aws_sdk_cleanroomsml-0.1.0-py3-none-any.whl |
|---|---|
| Size | 426.6 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
uv/0.11.21 {"installer":{"name":"uv","version":"0.11.21","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
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