# Copyright The Caikit 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
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"""Data structures for embedding vector representations"""
# Standard
from typing import List, Optional
# First Party
from py_to_proto.dataclass_to_proto import Annotated, FieldNumber
import alog
# Local
from ...common.data_model import ProducerId
from caikit.core import DataObjectBase, dataobject
from caikit.core.exceptions import error_handler
log = alog.use_channel("DATAM")
error = error_handler.get(log)
[docs]
@dataobject(package="caikit_data_model.caikit_nlp")
class SentenceSimilarityScores(DataObjectBase):
"""Scores for a sentence similarity task"""
scores: Annotated[List[float], FieldNumber(1)]
[docs]
@dataobject(package="caikit_data_model.caikit_nlp")
class SentenceSimilarityResult(DataObjectBase):
"""Result for sentence similarity task"""
result: Annotated[SentenceSimilarityScores, FieldNumber(1)]
producer_id: Annotated[ProducerId, FieldNumber(2)]
input_token_count: Annotated[Optional[int], FieldNumber(3)]
[docs]
@dataobject(package="caikit_data_model.caikit_nlp")
class SentenceSimilarityResults(DataObjectBase):
"""Results list for sentence similarity tasks"""
results: Annotated[List[SentenceSimilarityScores], FieldNumber(1)]
producer_id: Annotated[ProducerId, FieldNumber(2)]
input_token_count: Annotated[Optional[int], FieldNumber(3)]