# Copyright Amazon.com Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompanying this file. This file is
# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
# ANY KIND, either express or implied. See the License for the specific
# language governing permissions and limitations under the License.
from __future__ import annotations
from dataclasses import dataclass
import numpy as np
from braket.task_result import AdditionalMetadata, PhotonicModelTaskResult, TaskMetadata
[docs]
@dataclass
class PhotonicModelQuantumTaskResult:
task_metadata: TaskMetadata
additional_metadata: AdditionalMetadata
measurements: np.ndarray = None
def __eq__(self, other: PhotonicModelQuantumTaskResult) -> bool:
if isinstance(other, PhotonicModelQuantumTaskResult):
return self.task_metadata.id == other.task_metadata.id
return NotImplemented
[docs]
@staticmethod
def from_object(result: PhotonicModelTaskResult) -> PhotonicModelQuantumTaskResult:
"""Create PhotonicModelQuantumTaskResult from PhotonicModelTaskResult object.
Args:
result (PhotonicModelTaskResult): PhotonicModelTaskResult object
Returns:
PhotonicModelQuantumTaskResult: A PhotonicModelQuantumTaskResult based on the given dict
Raises:
ValueError: If "measurements" is not a key in the result dict
"""
return PhotonicModelQuantumTaskResult._from_object_internal(result)
[docs]
@staticmethod
def from_string(result: str) -> PhotonicModelQuantumTaskResult:
return PhotonicModelQuantumTaskResult._from_object_internal(
PhotonicModelTaskResult.parse_raw(result)
)
@classmethod
def _from_object_internal(
cls, result: PhotonicModelTaskResult
) -> PhotonicModelQuantumTaskResult:
task_metadata = result.taskMetadata
additional_metadata = result.additionalMetadata
if result.measurements is not None:
measurements = np.asarray(result.measurements, dtype=int)
else:
measurements = None
return cls(
task_metadata=task_metadata,
additional_metadata=additional_metadata,
measurements=measurements,
)