feat(MLRsearch): MLRsearch v7
[csit.git] / resources / libraries / python / MLRsearch / ReceiveRateMeasurement.py
diff --git a/resources/libraries/python/MLRsearch/ReceiveRateMeasurement.py b/resources/libraries/python/MLRsearch/ReceiveRateMeasurement.py
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-# Copyright (c) 2021 Cisco and/or its affiliates.
-# 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.
-
-"""Module defining ReceiveRateMeasurement class."""
-
-
-class ReceiveRateMeasurement:
-    """Structure defining the result of single Rr measurement."""
-
-    def __init__(
-            self, duration, target_tr, transmit_count, loss_count,
-            approximated_duration=0.0, partial_transmit_count=0,
-            effective_loss_ratio=None):
-        """Constructor, normalize primary and compute secondary quantities.
-
-        If approximated_duration is nonzero, it is stored.
-        If approximated_duration is zero, duration value is stored.
-        Either way, additional secondary quantities are computed
-        from the store value.
-
-        If there is zero transmit_count, ratios are set to zero.
-
-        In some cases, traffic generator does not attempt all the needed
-        transactions. In that case, nonzero partial_transmit_count
-        holds (an estimate of) count of the actually attempted transactions.
-        This is used to populate some secondary quantities.
-
-        TODO: Use None instead of zero?
-
-        Field effective_loss_ratio is specific for use in MLRsearch,
-        where measurements with lower loss ratio at higher target_tr
-        cannot be relied upon if there is a measurement with higher loss ratio
-        at lower target_tr. In this case, the higher loss ratio from
-        other measurement is stored as effective loss ratio in this measurement.
-        If None, the computed loss ratio of this measurement is used.
-        If not None, the computed ratio can still be apllied if it is larger.
-
-        :param duration: Measurement duration [s].
-        :param target_tr: Target transmit rate [pps].
-            If bidirectional traffic is measured, this is bidirectional rate.
-        :param transmit_count: Number of packets transmitted [1].
-        :param loss_count: Number of packets transmitted but not received [1].
-        :param approximated_duration: Estimate of the actual time of the trial.
-        :param partial_transmit_count: Estimate count of actually attempted
-            transactions.
-        :param effective_loss_ratio: None or highest loss ratio so far.
-        :type duration: float
-        :type target_tr: float
-        :type transmit_count: int
-        :type loss_count: int
-        :type approximated_duration: float
-        :type partial_transmit_count: int
-        """
-        self.duration = float(duration)
-        self.target_tr = float(target_tr)
-        self.transmit_count = int(transmit_count)
-        self.loss_count = int(loss_count)
-        self.receive_count = transmit_count - loss_count
-        self.transmit_rate = transmit_count / self.duration
-        self.loss_rate = loss_count / self.duration
-        self.receive_rate = self.receive_count / self.duration
-        self.loss_ratio = (
-            float(self.loss_count) / self.transmit_count
-            if self.transmit_count > 0 else 1.0
-        )
-        self.effective_loss_ratio = self.loss_ratio
-        if effective_loss_ratio is not None:
-            if effective_loss_ratio > self.loss_ratio:
-                self.effective_loss_ratio = float(effective_loss_ratio)
-        self.receive_ratio = (
-            float(self.receive_count) / self.transmit_count
-            if self.transmit_count > 0 else 0.0
-        )
-        self.approximated_duration = (
-            float(approximated_duration) if approximated_duration
-            else self.duration
-        )
-        self.approximated_receive_rate = (
-            self.receive_count / self.approximated_duration
-            if self.approximated_duration > 0.0 else 0.0
-        )
-        # If the traffic generator is unreliable and sends less packets,
-        # the absolute receive rate might be too low for next target.
-        self.partial_transmit_count = (
-            int(partial_transmit_count) if partial_transmit_count
-            else self.transmit_count
-        )
-        self.partial_receive_ratio = (
-            float(self.receive_count) / self.partial_transmit_count
-            if self.partial_transmit_count > 0 else 0.0
-        )
-        self.partial_receive_rate = (
-            self.target_tr * self.partial_receive_ratio
-        )
-        # We use relative packet ratios in order to support cases
-        # where target_tr is in transactions per second,
-        # but there are multiple packets per transaction.
-        self.relative_receive_rate = (
-            self.target_tr * self.receive_count / self.transmit_count
-        )
-
-    def __str__(self):
-        """Return string reporting input and loss ratio."""
-        return f"d={self.duration!s},Tr={self.target_tr!s}," \
-            f"Df={self.loss_ratio!s}"
-
-    def __repr__(self):
-        """Return string evaluable as a constructor call."""
-        return f"ReceiveRateMeasurement(duration={self.duration!r}," \
-            f"target_tr={self.target_tr!r}," \
-            f"transmit_count={self.transmit_count!r}," \
-            f"loss_count={self.loss_count!r}," \
-            f"approximated_duration={self.approximated_duration!r}," \
-            f"partial_transmit_count={self.partial_transmit_count!r}," \
-            f"effective_loss_ratio={self.effective_loss_ratio!r})"