AwsTranslator ¶

Utility class for converting between an AWS result and our solution format.

AwsTranslator provides methods to: - Convert an AWS-style result into our solution Solution.

The conversions are especially required when interacting with external aws solvers/samplers or libraries that operate on aws-based problem-solving/sampling.

Examples:

>>> import luna_quantum as lq
>>> aws_result = ...
>>> aqs = lq.translator.AwsTranslator.to_aq(aws_result)

to_aq `staticmethod` ¶

to_aq(result: dict[str, Any]) -> Solution

to_aq(result: dict[str, Any], timing: Timing) -> Solution

to_aq(result: dict[str, Any], *, env: Environment) -> Solution

to_aq(result: dict[str, Any], timing: Timing, *, env: Environment) -> Solution

to_aq(
    result: dict[str, Any],
    timing: Timing | None = ...,
    *,
    env: Environment | None = ...,
) -> Solution

Convert an AWS Braket result to our solution format.

Parameters:

Name	Type	Description	Default
`result`	`dict[str, Any]`	The aws braket result.	required
`timing`	`Timing`	The timing object produced while generating the result.	`...`
`env`	`Environment`	The environment of the model for which the result is produced.	`...`

Raises:

Type	Description
`NoActiveEnvironmentFoundError`	If no environment is passed to the method or available from the context.
`SolutionTranslationError`	Generally if the solution translation fails. Might be specified by one of the two following errors.
`SampleIncorrectLengthError`	If a solution's sample has a different number of variables than the model environment passed to the translator.
`ModelVtypeError`	If the result's variable types are incompatible with the model environment's variable types.

AwsTranslator ¶

to_aq staticmethod ¶

to_aq `staticmethod` ¶