# Copyright 2017 Neural Networks and Deep Learning lab, MIPT
# 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
# 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.
from deeppavlov.core.agent.filter import Filter
"""Filter that applies each agent skill to all of batch utterances.
skills_count: Number of agent skills.
size: Number of agent skills.
def __init__(self, skills_count: int, *args, **kwargs) -> None:
self.size: int = skills_count
def __call__(self, utterances_batch: list, history_batch: list) -> list:
"""Returns skills-utterances application matrix.
Generates skills-utterances application matrix with all True
utterances_batch: A batch of utterances of any type.
history_batch: Not used.
response: Skills-utterances application matrix with all True
return [[True] * len(utterances_batch)] * self.size