mypy-boto3-elementalinference Type Annotations

Warnings

• breaking Support for Python 3.8 was officially removed with `mypy-boto3-builder` version 8.12.0 and subsequent generated packages. This library now requires Python 3.9 or newer.
  Fix: Upgrade your Python environment to version 3.9 or newer. If downgrading is not an option, you must use an older version of `mypy-boto3-elementalinference` that was generated with a builder version prior to 8.12.0.
• breaking TypeDef naming conventions changed in `mypy-boto3-builder` version 8.9.0. Some TypeDef names for packed method arguments became shorter (e.g., `CreateDistributionRequestRequestTypeDef` -> `CreateDistributionRequestTypeDef`), and conflicting `Extra` postfixes moved to the end (e.g., `CreateDistributionExtraRequestTypeDef` -> `CreateDistributionRequestExtraTypeDef`).
  Fix: Update imports and references to affected TypeDef names in your codebase according to the new conventions. Review the `mypy-boto3` documentation for service-specific TypeDef changes if you encounter type-checking errors.
• gotcha This package provides type stubs only and is a 'type-checking only' dependency (PEP 561). The actual `boto3` library must be installed separately for your code to run at runtime. Without `boto3`, you will encounter `ModuleNotFoundError` or similar runtime errors.
  Fix: Ensure `boto3` is explicitly included in your project's dependencies and installed in your environment (e.g., `pip install boto3 mypy-boto3-elementalinference`).
• deprecated The `sms-voice` service was excluded from `mypy-boto3` builds in version 8.11.0, with users advised to use `pinpoint-sms-voice` instead. While this specifically affected the `sms-voice` stub package, it highlights that service names and availability can change, potentially affecting other less common services like ElementalInference in the future.
  Fix: Always refer to the latest `mypy-boto3` documentation or `boto3` service client names for the most up-to-date service interactions.

Install

• pip install mypy-boto3-elementalinference boto3 Install type stubs and boto3

Imports

• ElementalInferenceClient

  from mypy_boto3_elementalinference.client import ElementalInferenceClient

Quickstart

Illustrates how to initialize a boto3 client and apply the type annotations provided by `mypy-boto3-elementalinference`. This allows tools like Mypy, Pyright, VSCode, and PyCharm to perform static analysis and provide autocompletion for ElementalInference service methods and responses. Ensure `boto3` is also installed in your environment.

import boto3
from mypy_boto3_elementalinference.client import ElementalInferenceClient
from typing import TYPE_CHECKING

# This library provides type annotations. The actual boto3 library must be installed separately.

# During type checking (e.g., with mypy, VSCode, PyCharm), the client will be strongly typed.
# At runtime, it behaves like a standard boto3 client.
if TYPE_CHECKING:
    client: ElementalInferenceClient = boto3.client("elemental-inference")
else:
    client = boto3.client("elemental-inference", region_name="us-east-1")

print(f"Successfully initialized boto3 client for ElementalInference.")
print(f"Client type (for type checkers): {type(client)}")

# You can now use 'client' with type-hinting support in your IDE/type checker.
# Example: Accessing a method with type-hinting benefits
# try:
#     # This is a placeholder; replace with an actual ElementalInference method
#     response = client.invoke_model(ModelId="your-model-id", Body=b"{}", ContentType="application/json")
#     print(f"Example call response: {response}")
# except Exception as e:
#     print(f"Error during example call: {e}")