ntel-gpu-tools/lib/igt_stats.c
Damien Lespiau 06f5f7065f lib: Add a tiny utility function to compute averages
The master plan would be to get a bit more stats in it, at least the
standard deviation and confidence interval. Just need the average for
now.

Signed-off-by: Damien Lespiau <damien.lespiau@intel.com>
2015-06-25 17:22:03 +01:00

57 lines
1.8 KiB
C

/*
* Copyright © 2015 Intel Corporation
*
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to deal in the Software without restriction, including without limitation
* the rights to use, copy, modify, merge, publish, distribute, sublicense,
* and/or sell copies of the Software, and to permit persons to whom the
* Software is furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice (including the next
* paragraph) shall be included in all copies or substantial portions of the
* Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
* THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
* FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
* IN THE SOFTWARE.
*
*/
#include "igt_core.h"
#include "igt_stats.h"
void igt_stats_init(igt_stats_t *stats, unsigned int capacity)
{
stats->values = calloc(capacity, sizeof(*stats->values));
igt_assert(stats->values);
stats->capacity = capacity;
stats->n_values = 0;
}
void igt_stats_fini(igt_stats_t *stats)
{
free(stats->values);
}
void igt_stats_push(igt_stats_t *stats, uint64_t value)
{
igt_assert(stats->n_values < stats->capacity);
stats->values[stats->n_values++] = value;
}
double igt_stats_get_average(igt_stats_t *stats)
{
unsigned int i;
double a = 0.0;
for (i = 0; i < stats->n_values; i++)
a += (double)stats->values[i] / stats->n_values;
return a;
}