feat: add response type
This commit is contained in:
129
legacy/query.py
Normal file
129
legacy/query.py
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@@ -0,0 +1,129 @@
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import enum
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from functools import cached_property
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from dataclasses import dataclass
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from typing import Iterator
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from .common import DeviceKind, Circuit
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class ResponsePriority(enum.Enum):
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"""
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The priority of the result.
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"""
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LESS_DEVICES = enum.auto()
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"""Less devices is the first priority."""
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MORE_ACCURACY = enum.auto()
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"""More accuracy is the first priority."""
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@dataclass
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class Request:
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"""
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All request infomation for the resolver.
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"""
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device_kind: DeviceKind
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"""The kind of device to resolve."""
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target_value: float
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"""The target value of the device."""
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tolerance: float
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"""The tolerance of the device in absolute value."""
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response_priority: ResponsePriority
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"""The priority principle when sorting response items."""
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count_limit: int
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"""The limited count of results."""
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class ResponseItem:
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"""
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The possible solution given by the resolver.
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"""
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__circuit: Circuit
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"""The circuit of the response item."""
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__device_kind: DeviceKind
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"""The kind of device of this circuit."""
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__target_value: float
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"""The target value of this circuit."""
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def __init__(
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self, circuit: Circuit, device_kind: DeviceKind, target_value: float
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) -> None:
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self.__circuit = circuit
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self.__device_kind = device_kind
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self.__target_value = target_value
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@property
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def circuit(self) -> Circuit:
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"""
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The circuit of this response item.
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:return: The circuit.
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"""
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return self.circuit
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@cached_property
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def device_count(self) -> int:
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"""
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The device count of this circuit.
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:return: The device count.
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"""
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return self.circuit.device_scale.to_device_count()
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@cached_property
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def value(self) -> float:
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"""
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The value of this circuit.
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:return: The value.
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"""
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return self.__circuit.compute(self.__device_kind)
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@cached_property
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def difference(self) -> float:
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"""
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The absolute difference between the target value and the value of this circuit.
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:return: The absolute difference.
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"""
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return abs(self.__target_value - self.value)
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@cached_property
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def relative_difference(self) -> float:
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"""
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The relative difference between the target value and the value of this circuit.
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:return: The relative difference.
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"""
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return self.difference / self.__target_value
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class Response:
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"""
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The collection of possible solutions given by the resolver.
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For getting the response items, please use the iterator protocol.
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"""
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__sorted_items: list[ResponseItem]
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"""The sorted items by priority and difference."""
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def __init__(self, request: Request, candidates: Iterator[Circuit]) -> None:
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self.__sorted_items = list(
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ResponseItem(item, request.device_kind, request.target_value)
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for item in candidates
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)
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# Sort by different strategy
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match request.response_priority:
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case ResponsePriority.LESS_DEVICES:
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self.__sorted_items.sort(key=lambda x: (x.device_count, x.difference))
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case ResponsePriority.MORE_ACCURACY:
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self.__sorted_items.sort(key=lambda x: x.difference)
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# Cut item by limit
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self.__sorted_items = self.__sorted_items[:request.count_limit]
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def __iter__(self) -> Iterator[ResponseItem]:
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return iter(self.__sorted_items)
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@@ -1,11 +1,9 @@
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from .common import Resolver, ResultPriority, ResolverRequest
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from .common import Resolver
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from .lut import LutResolver
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from .astar import AStarResolver
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__all__ = [
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'Resolver',
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'ResultPriority',
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'ResolverRequest',
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'LutResolver',
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'AStarResolver'
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]
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@@ -1,5 +1,5 @@
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from typing import Iterator
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from .common import Resolver, ResolverRequest, ResultPriority
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from .common import Resolver, Request, ResultPriority
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from ..dataset import DatasetCollection
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from ..common import Circuit
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@@ -12,5 +12,5 @@ class AStarResolver(Resolver):
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pass
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def resolve(self, request: ResolverRequest) -> Iterator[Circuit]:
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def resolve(self, request: Request) -> Iterator[Circuit]:
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pass
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@@ -1,38 +1,5 @@
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import enum
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from abc import ABC, abstractmethod
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from dataclasses import dataclass
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from typing import Iterator
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from ..common import DeviceKind, Circuit
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class ResultPriority(enum.Enum):
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"""
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The priority of the result.
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"""
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LESS_DEVICES = enum.auto()
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"""Less devices is the first priority."""
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MORE_ACCURACY = enum.auto()
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"""More accuracy is the first priority."""
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@dataclass
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class ResolverRequest:
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"""
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All request infomation for the resolver.
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"""
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device_kind: DeviceKind
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"""The kind of device to resolve."""
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target_value: float
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"""The target value of the device."""
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tolerance: float
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"""The tolerance of the device in absolute value."""
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result_priority: ResultPriority
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"""The priority of the result."""
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count_limit: int
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"""The limited count of results."""
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from ..query import Request, Response
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class Resolver(ABC):
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"""
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@@ -40,5 +7,5 @@ class Resolver(ABC):
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"""
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@abstractmethod
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def resolve(self, request: ResolverRequest) -> Iterator[Circuit]:
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def resolve(self, request: Request) -> Response:
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pass
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@@ -2,9 +2,10 @@ import heapq
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from itertools import chain, product
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from typing import Iterable, Iterator
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from functools import cached_property
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from .common import Resolver, ResolverRequest, ResultPriority
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from .common import Resolver
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from ..dataset import DatasetCollection, Dataset
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from ..common import Circuit, DeviceKind, JointKind, LcrConnException
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from ..common import Circuit, DeviceKind, JointKind
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from ..query import Request, Response
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class LutItem:
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@@ -67,13 +68,13 @@ class ResultBucket(Iterable[LutItem]):
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def score(self) -> float:
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"""The score associated with this item."""
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return self.__score
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@property
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def item(self) -> LutItem:
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"""The underlying LutItem."""
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return self.__item
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def __lt__(self, other: 'ResultBucket.ResultBucketItem') -> bool:
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def __lt__(self, other: "ResultBucket.ResultBucketItem") -> bool:
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# heapq is a min-heap: it always pops the smallest element.
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# We invert the comparison so that an item with a larger score
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# is considered "smaller", effectively turning the min-heap
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@@ -179,7 +180,7 @@ class LutResolver(Resolver):
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)
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]
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def resolve(self, request: ResolverRequest) -> Iterator[Circuit]:
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def resolve(self, request: Request) -> Response:
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# Fetch LUT by device kind
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lut: list[LutItem]
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match request.device_kind:
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@@ -202,4 +203,4 @@ class LutResolver(Resolver):
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bucket.insert(item, difference)
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# Return result
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return map(lambda item: item.circuit, bucket)
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return Response(request, map(lambda item: item.circuit, bucket))
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