package irmin-bench
Irmin benchmarking suite
Install
Dune Dependency
Authors
Maintainers
Sources
irmin-3.11.0.tbz
sha256=09996fbcc2c43e117a9bd8e9028c635e81cccb264d5e02d425ab8b06bbacdbdb
sha512=0391a6bf7b94a1edd50a3a8df9e58961739fa78d7d689d61f56bc87144483bad2ee539df595c33d9d52c29b3458da5dddf3a73b5eb85e49c4667c26d2cd46be1
doc/src/irmin-bench.traces/trace_stat_summary_conf.ml.html
Source file trace_stat_summary_conf.ml
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(* * Copyright (c) 2018-2022 Tarides <contact@tarides.com> * * Permission to use, copy, modify, and distribute this software for any * purpose with or without fee is hereby granted, provided that the above * copyright notice and this permission notice appear in all copies. * * THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES * WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF * MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR * ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES * WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN * ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF * OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE. *) (** Summary configuration. This file is NOT meant to be used from Tezos, as opposed to some other "trace_*" files. *) let histo_bin_count = 16 let curves_sample_count = 201 (** Parameter to control the width of the moving average window. This width is expressed as a fraction of the width of the final plot images, (i.e. the number of played blocks). This implies that the amount of smoothing remains visually the same, no matter [curves_sample_count] and the number of blocks in the stat trace. Justification of the current value: The 2nd commit of the full replay trace is a massive one, it contains ~1000x more operations than an average one, it takes ~10 half lives to fully get rid of it from the EMAs. With [moving_average_half_life_ratio = 1. /. 80.], that 2nd commit will only poluate [1 / 8] of the width of the smoothed curves. *) let moving_average_half_life_ratio = 1. /. 80. (** See [Exponential_moving_average] *) let moving_average_relevance_threshold = 0.999
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