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georgia-tech-db / eva / f3cb8bbb-8165-49fa-af41-b587f634b3c4

pending completion
f3cb8bbb-8165-49fa-af41-b587f634b3c4

Pull #814

circle-ci

jiashenC
update results
Pull Request #814: feat: benchmark question answering v1

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10095 of 10421 relevant lines covered (96.87%)

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/eva/executor/abstract_executor.py
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# coding=utf-8
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# Copyright 2018-2023 EVA
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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#     http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from abc import ABC, abstractmethod
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from typing import Generator, Iterable, List, TypeVar
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from eva.models.storage.batch import Batch
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from eva.plan_nodes.abstract_plan import AbstractPlan
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AbstractExecutor = TypeVar("AbstractExecutor")
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class AbstractExecutor(ABC):
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    """
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    An abstract class for the executor engine
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    Arguments:
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        node (AbstractPlan): Plan node corresponding to this executor
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    """
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    def __init__(self, node: AbstractPlan):
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        self._node = node
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        self._children = []
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    def append_child(self, child: AbstractExecutor):
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        """
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        appends a child executor node
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        Arguments:
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            child {AbstractExecutor} -- child node
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        """
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        self._children.append(child)
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    @property
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    def children(self) -> List[AbstractExecutor]:
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        """
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        Returns the list of child executor
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        Returns:
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            [] -- list of children
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        """
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        return self._children
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    @children.setter
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    def children(self, children):
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        self._children = children
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    @property
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    def node(self) -> AbstractPlan:
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        return self._node
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    @abstractmethod
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    def exec(self, *args, **kwargs) -> Iterable[Batch]:
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        """
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        This method is implemented by every executor.
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        Contains logic for that executor;
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        For retrieval based executor : It fetches frame batches from
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        child nodes and emits it to parent node.
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        """
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    def __call__(self, *args, **kwargs) -> Generator[Batch, None, None]:
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        yield from self.exec(*args, **kwargs)
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