# Copyright 2023 The KubeEdge Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License 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.
"""
Divide inference samples into seen samples and unseen samples
Parameters
----------
task_index: str or dict
knowledge base index which includes indexes of tasks, samples and etc.
Returns
-------
seen_task_samples: seen samples, see `sedna.datasources.BaseDataSource`
for more detail
unseen_task_samples: unseen samples, see `sedna.datasources.BaseDataSource`
for more detail
"""
from typing import Tuple
from sedna.common.file_ops import FileOps
from sedna.datasources import BaseDataSource
[docs]class BaseSampleRegonition:
'''
Divide inference samples into seen samples and unseen samples
Parameters
----------
task_index: str or dict
knowledge base index which includes indexes of tasks, samples and etc.
'''
def __init__(self, task_index, **kwargs):
if isinstance(task_index, str) and FileOps.exists(task_index):
self.task_index = FileOps.load(task_index)
else:
self.task_index = task_index
[docs] def __call__(self,
samples: BaseDataSource) -> Tuple[BaseDataSource,
BaseDataSource]:
'''
Parameters
----------
samples : BaseDataSource
inference samples
Returns
-------
seen_task_samples: BaseDataSource
unseen_task_samples: BaseDataSource
'''
raise NotImplementedError