mirror of https://github.com/grpc/grpc.git
This is a trivial C89-ification of the []2 implementation of the same idea. Indeed the implementation files and tests have been branched from the [] versions. Change on 2014/12/15 by ctiller <ctiller@google.com> ------------- Created by MOE: http://code.google.com/p/moe-java MOE_MIGRATED_REVID=82168822pull/1/merge
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/*
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* |
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* Copyright 2014, Google Inc. |
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* All rights reserved. |
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* |
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* Redistribution and use in source and binary forms, with or without |
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* modification, are permitted provided that the following conditions are |
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* met: |
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* |
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* * Redistributions of source code must retain the above copyright |
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* notice, this list of conditions and the following disclaimer. |
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* * Redistributions in binary form must reproduce the above |
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* copyright notice, this list of conditions and the following disclaimer |
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* in the documentation and/or other materials provided with the |
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* distribution. |
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* * Neither the name of Google Inc. nor the names of its |
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* contributors may be used to endorse or promote products derived from |
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* this software without specific prior written permission. |
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* |
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS |
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* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT |
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* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR |
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* A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT |
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* OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, |
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* SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT |
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* LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, |
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* DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY |
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* THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT |
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* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE |
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. |
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* |
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*/ |
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#include "src/core/iomgr/time_averaged_stats.h" |
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void grpc_time_averaged_stats_init(grpc_time_averaged_stats *stats, |
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double init_avg, double regress_weight, |
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double persistence_factor) { |
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stats->init_avg = init_avg; |
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stats->regress_weight = regress_weight; |
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stats->persistence_factor = persistence_factor; |
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stats->batch_total_value = 0; |
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stats->batch_num_samples = 0; |
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stats->aggregate_total_weight = 0; |
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stats->aggregate_weighted_avg = init_avg; |
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} |
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void grpc_time_averaged_stats_add_sample(grpc_time_averaged_stats *stats, |
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double value) { |
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stats->batch_total_value += value; |
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++stats->batch_num_samples; |
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} |
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double grpc_time_averaged_stats_update_average( |
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grpc_time_averaged_stats *stats) { |
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/* Start with the current batch: */ |
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double weighted_sum = stats->batch_total_value; |
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double total_weight = stats->batch_num_samples; |
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if (stats->regress_weight > 0) { |
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/* Add in the regression towards init_avg_: */ |
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weighted_sum += stats->regress_weight * stats->init_avg; |
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total_weight += stats->regress_weight; |
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} |
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if (stats->persistence_factor > 0) { |
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/* Add in the persistence: */ |
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const double prev_sample_weight = |
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stats->persistence_factor * stats->aggregate_total_weight; |
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weighted_sum += prev_sample_weight * stats->aggregate_weighted_avg; |
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total_weight += prev_sample_weight; |
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} |
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stats->aggregate_weighted_avg = |
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(total_weight > 0) ? (weighted_sum / total_weight) : stats->init_avg; |
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stats->aggregate_total_weight = total_weight; |
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stats->batch_num_samples = 0; |
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stats->batch_total_value = 0; |
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return stats->aggregate_weighted_avg; |
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} |
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/*
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* |
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* Copyright 2014, Google Inc. |
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* All rights reserved. |
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* |
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* Redistribution and use in source and binary forms, with or without |
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* modification, are permitted provided that the following conditions are |
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* met: |
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* |
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* * Redistributions of source code must retain the above copyright |
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* notice, this list of conditions and the following disclaimer. |
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* * Redistributions in binary form must reproduce the above |
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* copyright notice, this list of conditions and the following disclaimer |
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* in the documentation and/or other materials provided with the |
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* distribution. |
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* * Neither the name of Google Inc. nor the names of its |
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* contributors may be used to endorse or promote products derived from |
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|
* this software without specific prior written permission. |
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|
* |
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS |
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|
* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT |
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|
* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR |
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|
* A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT |
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* OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, |
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|
* SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT |
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|
* LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, |
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* DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY |
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* THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT |
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* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE |
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. |
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* |
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*/ |
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#ifndef __GRPC_INTERNAL_IOMGR_TIME_AVERAGED_STATS_H_ |
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#define __GRPC_INTERNAL_IOMGR_TIME_AVERAGED_STATS_H_ |
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/* This tracks a time-decaying weighted average. It works by collecting
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batches of samples and then mixing their average into a time-decaying |
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weighted mean. It is designed for batch operations where we do many adds |
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before updating the average. */ |
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typedef struct { |
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/* The initial average value. This is the reported average until the first
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grpc_time_averaged_stats_update_average call. If a positive regress_weight |
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is used, we also regress towards this value on each update. */ |
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double init_avg; |
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/* The sample weight of "init_avg" that is mixed in with each call to
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grpc_time_averaged_stats_update_average. If the calls to |
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grpc_time_averaged_stats_add_sample stop, this will cause the average to |
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regress back to the mean. This should be non-negative. Set it to 0 to |
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disable the bias. A value of 1 has the effect of adding in 1 bonus sample |
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with value init_avg to each sample period. */ |
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double regress_weight; |
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/* This determines the rate of decay of the time-averaging from one period
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to the next by scaling the aggregate_total_weight of samples from prior |
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periods when combining with the latest period. It should be in the range |
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[0,1]. A higher value adapts more slowly. With a value of 0.5, if the |
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batches each have k samples, the samples_in_avg_ will grow to 2 k, so the |
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weighting of the time average will eventually be 1/3 new batch and 2/3 |
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old average. */ |
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double persistence_factor; |
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/* The total value of samples since the last UpdateAverage(). */ |
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double batch_total_value; |
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/* The number of samples since the last UpdateAverage(). */ |
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double batch_num_samples; |
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/* The time-decayed sum of batch_num_samples_ over previous batches. This is
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the "weight" of the old aggregate_weighted_avg_ when updating the |
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average. */ |
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double aggregate_total_weight; |
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/* A time-decayed average of the (batch_total_value_ / batch_num_samples_),
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computed by decaying the samples_in_avg_ weight in the weighted average. */ |
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double aggregate_weighted_avg; |
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} grpc_time_averaged_stats; |
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/* See the comments on the members above for an explanation of init_avg,
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regress_weight, and persistence_factor. */ |
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void grpc_time_averaged_stats_init(grpc_time_averaged_stats *stats, |
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double init_avg, double regress_weight, |
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double persistence_factor); |
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/* Add a sample to the current batch. */ |
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void grpc_time_averaged_stats_add_sample(grpc_time_averaged_stats *stats, |
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double value); |
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/* Complete a batch and compute the new estimate of the average sample
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value. */ |
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double grpc_time_averaged_stats_update_average(grpc_time_averaged_stats *stats); |
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#endif /* __GRPC_INTERNAL_IOMGR_TIME_AVERAGED_STATS_H_ */ |
@ -0,0 +1,208 @@ |
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/*
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* |
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* Copyright 2014, Google Inc. |
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* All rights reserved. |
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* |
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* Redistribution and use in source and binary forms, with or without |
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|
* modification, are permitted provided that the following conditions are |
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* met: |
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* |
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* * Redistributions of source code must retain the above copyright |
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|
* notice, this list of conditions and the following disclaimer. |
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* * Redistributions in binary form must reproduce the above |
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* copyright notice, this list of conditions and the following disclaimer |
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|
* in the documentation and/or other materials provided with the |
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|
* distribution. |
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* * Neither the name of Google Inc. nor the names of its |
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* contributors may be used to endorse or promote products derived from |
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|
* this software without specific prior written permission. |
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|
* |
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS |
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* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT |
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|
* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR |
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* A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT |
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* OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, |
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|
* SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT |
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|
* LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, |
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* DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY |
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* THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT |
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* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE |
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. |
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* |
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*/ |
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#include "src/core/iomgr/time_averaged_stats.h" |
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#include <math.h> |
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#include <grpc/support/log.h> |
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#include "test/core/util/test_config.h" |
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#define EXPECT_EQ(a, b) GPR_ASSERT((a) == (b)) |
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#define EXPECT_DOUBLE_EQ(a, b) GPR_ASSERT(fabs((a) - (b)) < 1e-9) |
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static void no_regress_no_persist_test_1() { |
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grpc_time_averaged_stats tas; |
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grpc_time_averaged_stats_init(&tas, 1000, 0, 0.0); |
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EXPECT_DOUBLE_EQ(1000, tas.aggregate_weighted_avg); |
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EXPECT_DOUBLE_EQ(0, tas.aggregate_total_weight); |
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/* Should have no effect */ |
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grpc_time_averaged_stats_update_average(&tas); |
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EXPECT_DOUBLE_EQ(1000, tas.aggregate_weighted_avg); |
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EXPECT_DOUBLE_EQ(0, tas.aggregate_total_weight); |
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/* Should replace old average */ |
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grpc_time_averaged_stats_add_sample(&tas, 2000); |
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grpc_time_averaged_stats_update_average(&tas); |
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EXPECT_DOUBLE_EQ(2000, tas.aggregate_weighted_avg); |
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EXPECT_DOUBLE_EQ(1, tas.aggregate_total_weight); |
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} |
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static void no_regress_no_persist_test_2() { |
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grpc_time_averaged_stats tas; |
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grpc_time_averaged_stats_init(&tas, 1000, 0, 0.0); |
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EXPECT_DOUBLE_EQ(1000, tas.aggregate_weighted_avg); |
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/* Should replace init value */ |
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grpc_time_averaged_stats_add_sample(&tas, 2000); |
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grpc_time_averaged_stats_update_average(&tas); |
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EXPECT_DOUBLE_EQ(2000, tas.aggregate_weighted_avg); |
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EXPECT_DOUBLE_EQ(1, tas.aggregate_total_weight); |
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grpc_time_averaged_stats_add_sample(&tas, 3000); |
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grpc_time_averaged_stats_update_average(&tas); |
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EXPECT_DOUBLE_EQ(3000, tas.aggregate_weighted_avg); |
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EXPECT_DOUBLE_EQ(1, tas.aggregate_total_weight); |
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} |
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static void no_regress_no_persist_test_3() { |
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grpc_time_averaged_stats tas; |
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grpc_time_averaged_stats_init(&tas, 1000, 0, 0.0); |
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EXPECT_DOUBLE_EQ(1000, tas.aggregate_weighted_avg); |
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/* Should replace init value */ |
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grpc_time_averaged_stats_add_sample(&tas, 2500); |
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grpc_time_averaged_stats_update_average(&tas); |
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EXPECT_DOUBLE_EQ(2500, tas.aggregate_weighted_avg); |
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EXPECT_DOUBLE_EQ(1, tas.aggregate_total_weight); |
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grpc_time_averaged_stats_add_sample(&tas, 3500); |
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grpc_time_averaged_stats_add_sample(&tas, 4500); |
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grpc_time_averaged_stats_update_average(&tas); |
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EXPECT_DOUBLE_EQ(4000, tas.aggregate_weighted_avg); |
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EXPECT_DOUBLE_EQ(2, tas.aggregate_total_weight); |
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} |
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static void some_regress_no_persist_test() { |
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grpc_time_averaged_stats tas; |
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grpc_time_averaged_stats_init(&tas, 1000, 0.5, 0.0); |
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EXPECT_DOUBLE_EQ(1000, tas.aggregate_weighted_avg); |
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EXPECT_DOUBLE_EQ(0, tas.aggregate_total_weight); |
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grpc_time_averaged_stats_add_sample(&tas, 2000); |
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grpc_time_averaged_stats_add_sample(&tas, 2000); |
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grpc_time_averaged_stats_update_average(&tas); |
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/* (2 * 2000 + 0.5 * 1000) / 2.5 */ |
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EXPECT_DOUBLE_EQ(1800, tas.aggregate_weighted_avg); |
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EXPECT_DOUBLE_EQ(2.5, tas.aggregate_total_weight); |
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} |
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static void some_decay_test() { |
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grpc_time_averaged_stats tas; |
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grpc_time_averaged_stats_init(&tas, 1000, 1, 0.0); |
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EXPECT_EQ(1000, tas.aggregate_weighted_avg); |
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/* Should avg with init value */ |
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grpc_time_averaged_stats_add_sample(&tas, 2000); |
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grpc_time_averaged_stats_update_average(&tas); |
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EXPECT_DOUBLE_EQ(1500, tas.aggregate_weighted_avg); |
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EXPECT_DOUBLE_EQ(2, tas.aggregate_total_weight); |
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grpc_time_averaged_stats_add_sample(&tas, 2000); |
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grpc_time_averaged_stats_update_average(&tas); |
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EXPECT_DOUBLE_EQ(1500, tas.aggregate_weighted_avg); |
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EXPECT_DOUBLE_EQ(2, tas.aggregate_total_weight); |
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grpc_time_averaged_stats_add_sample(&tas, 2000); |
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grpc_time_averaged_stats_update_average(&tas); |
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EXPECT_DOUBLE_EQ(1500, tas.aggregate_weighted_avg); |
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EXPECT_DOUBLE_EQ(2, tas.aggregate_total_weight); |
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} |
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static void no_regress_full_persist_test() { |
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grpc_time_averaged_stats tas; |
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grpc_time_averaged_stats_init(&tas, 1000, 0, 1.0); |
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EXPECT_DOUBLE_EQ(1000, tas.aggregate_weighted_avg); |
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EXPECT_DOUBLE_EQ(0, tas.aggregate_total_weight); |
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/* Should replace init value */ |
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grpc_time_averaged_stats_add_sample(&tas, 2000); |
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grpc_time_averaged_stats_update_average(&tas); |
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EXPECT_EQ(2000, tas.aggregate_weighted_avg); |
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EXPECT_EQ(1, tas.aggregate_total_weight); |
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/* Will result in average of the 3 samples. */ |
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grpc_time_averaged_stats_add_sample(&tas, 2300); |
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grpc_time_averaged_stats_add_sample(&tas, 2300); |
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grpc_time_averaged_stats_update_average(&tas); |
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EXPECT_DOUBLE_EQ(2200, tas.aggregate_weighted_avg); |
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EXPECT_DOUBLE_EQ(3, tas.aggregate_total_weight); |
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} |
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static void no_regress_some_persist_test() { |
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grpc_time_averaged_stats tas; |
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grpc_time_averaged_stats_init(&tas, 1000, 0, 0.5); |
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/* Should replace init value */ |
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grpc_time_averaged_stats_add_sample(&tas, 2000); |
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grpc_time_averaged_stats_update_average(&tas); |
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EXPECT_DOUBLE_EQ(2000, tas.aggregate_weighted_avg); |
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EXPECT_DOUBLE_EQ(1, tas.aggregate_total_weight); |
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grpc_time_averaged_stats_add_sample(&tas, 2500); |
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grpc_time_averaged_stats_add_sample(&tas, 4000); |
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grpc_time_averaged_stats_update_average(&tas); |
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EXPECT_DOUBLE_EQ(3000, tas.aggregate_weighted_avg); |
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EXPECT_DOUBLE_EQ(2.5, tas.aggregate_total_weight); |
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} |
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static void some_regress_some_persist_test() { |
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grpc_time_averaged_stats tas; |
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grpc_time_averaged_stats_init(&tas, 1000, 0.4, 0.6); |
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/* Sample weight = 0 */ |
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EXPECT_EQ(1000, tas.aggregate_weighted_avg); |
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EXPECT_EQ(0, tas.aggregate_total_weight); |
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grpc_time_averaged_stats_update_average(&tas); |
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/* (0.6 * 0 * 1000 + 0.4 * 1000 / 0.4) */ |
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EXPECT_DOUBLE_EQ(1000, tas.aggregate_weighted_avg); |
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EXPECT_DOUBLE_EQ(0.4, tas.aggregate_total_weight); |
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grpc_time_averaged_stats_add_sample(&tas, 2640); |
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grpc_time_averaged_stats_update_average(&tas); |
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/* (1 * 2640 + 0.6 * 0.4 * 1000 + 0.4 * 1000 / (1 + 0.6 * 0.4 + 0.4) */ |
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EXPECT_DOUBLE_EQ(2000, tas.aggregate_weighted_avg); |
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|
EXPECT_DOUBLE_EQ(1.64, tas.aggregate_total_weight); |
||||||
|
|
||||||
|
grpc_time_averaged_stats_add_sample(&tas, 2876.8); |
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|
grpc_time_averaged_stats_update_average(&tas); |
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|
/* (1 * 2876.8 + 0.6 * 1.64 * 2000 + 0.4 * 1000 / (1 + 0.6 * 1.64 + 0.4) */ |
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|
EXPECT_DOUBLE_EQ(2200, tas.aggregate_weighted_avg); |
||||||
|
EXPECT_DOUBLE_EQ(2.384, tas.aggregate_total_weight); |
||||||
|
|
||||||
|
grpc_time_averaged_stats_add_sample(&tas, 4944.32); |
||||||
|
grpc_time_averaged_stats_update_average(&tas); |
||||||
|
/* (1 * 4944.32 + 0.6 * 2.384 * 2200 + 0.4 * 1000) /
|
||||||
|
(1 + 0.6 * 2.384 + 0.4) */ |
||||||
|
EXPECT_DOUBLE_EQ(3000, tas.aggregate_weighted_avg); |
||||||
|
EXPECT_DOUBLE_EQ(2.8304, tas.aggregate_total_weight); |
||||||
|
} |
||||||
|
|
||||||
|
int main(int argc, char **argv) { |
||||||
|
grpc_test_init(argc, argv); |
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|
no_regress_no_persist_test_1(); |
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|
no_regress_no_persist_test_2(); |
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|
no_regress_no_persist_test_3(); |
||||||
|
some_regress_no_persist_test(); |
||||||
|
some_decay_test(); |
||||||
|
no_regress_full_persist_test(); |
||||||
|
no_regress_some_persist_test(); |
||||||
|
some_regress_some_persist_test(); |
||||||
|
return 0; |
||||||
|
} |
Loading…
Reference in new issue