Source code for braket.device_schema.dwave.dwave_provider_level_parameters_v1

# Copyright 2019-2019 Amazon.com, Inc. or its affiliates. All Rights Reserved.
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# 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
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# or in the "license" file accompanying this file. This file is
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from enum import Enum
from typing import List, Optional

from pydantic import BaseModel, Field

from braket.schema_common import BraketSchemaBase, BraketSchemaHeader


[docs]class PostProcessingType(str, Enum): """ The type of processing for D-Wave. """ RAW = "raw" HISTOGRAM = "histogram"
[docs]class DwaveProviderLevelParameters(BraketSchemaBase): """ This is the description of the D-Wave parameters Examples: >>> import json >>> input_json = { ... "braketSchemaHeader": { ... "name": "braket.device_schema.dwave.dwave_provider_level_parameters", ... "version": "1", ... }, ... "beta": 1 ... } >>> DwaveProviderLevelParameters.parse_raw_schema(json.dumps(input_json)) """ _PROGRAM_HEADER = BraketSchemaHeader( name="braket.device_schema.dwave.dwave_provider_level_parameters", version="1" ) braketSchemaHeader: BraketSchemaHeader = Field(default=_PROGRAM_HEADER, const=_PROGRAM_HEADER) annealingOffsets: Optional[List[int]] annealingSchedule: Optional[List[List[int]]] annealingDuration: Optional[int] = Field(gt=1) autoScale: Optional[bool] beta: Optional[int] chains: Optional[List[List[int]]] compensateFluxDrift: Optional[bool] fluxBiases: Optional[List[int]] initialState: Optional[List[int]] maxResults: Optional[int] = Field(gt=1) postprocessingType: Optional[PostProcessingType] programmingThermalizationDuration: Optional[int] readoutThermalizationDuration: Optional[int] reduceIntersampleCorrelation: Optional[bool] reinitializeState: Optional[bool] resultFormat: Optional[str] spinReversalTransformCount: Optional[int] = Field(gt=0)