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# Copyright (c) 2019 Viosoft Corporation
#
# 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.
#
# This is a modified copy of
# https://gerrit.fd.io/r/gitweb?p=csit.git;a=blob_plain;f=resources/libraries/python/MLRsearch/AbstractSearchAlgorithm.py;hb=HEAD
from abc import ABCMeta, abstractmethod
class AbstractSearchAlgorithm(object):
"""Abstract class defining common API for search algorithms."""
__metaclass__ = ABCMeta
def __init__(self, measurer):
"""Store the rate provider.
:param measurer: Object able to perform trial or composite measurements.
:type measurer: AbstractMeasurer.AbstractMeasurer
"""
# TODO: Type check for AbstractMeasurer?
self.measurer = measurer
@abstractmethod
def narrow_down_ndr_and_pdr(
self, fail_rate, line_rate, packet_loss_ratio):
"""Perform measurements to narrow down intervals, return them.
This will be renamed when custom loss ratio lists are supported.
:param fail_rate: Minimal target transmit rate [pps].
:param line_rate: Maximal target transmit rate [pps].
:param packet_loss_ratio: Fraction of packets lost, for PDR [1].
:type fail_rate: float
:type line_rate: float
:type packet_loss_ratio: float
:returns: Structure containing narrowed down intervals
and their measurements.
:rtype: NdrPdrResult.NdrPdrResult
"""
# TODO: Do we agree on arguments related to precision or trial duration?
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