drivers: power: report battery voltage in AOSP compatible format
[GitHub/mt8127/android_kernel_alcatel_ttab.git] / lib / average.c
1 /*
2 * lib/average.c
3 *
4 * This source code is licensed under the GNU General Public License,
5 * Version 2. See the file COPYING for more details.
6 */
7
8 #include <linux/export.h>
9 #include <linux/average.h>
10 #include <linux/kernel.h>
11 #include <linux/bug.h>
12 #include <linux/log2.h>
13
14 /**
15 * DOC: Exponentially Weighted Moving Average (EWMA)
16 *
17 * These are generic functions for calculating Exponentially Weighted Moving
18 * Averages (EWMA). We keep a structure with the EWMA parameters and a scaled
19 * up internal representation of the average value to prevent rounding errors.
20 * The factor for scaling up and the exponential weight (or decay rate) have to
21 * be specified thru the init fuction. The structure should not be accessed
22 * directly but only thru the helper functions.
23 */
24
25 /**
26 * ewma_init() - Initialize EWMA parameters
27 * @avg: Average structure
28 * @factor: Factor to use for the scaled up internal value. The maximum value
29 * of averages can be ULONG_MAX/(factor*weight). For performance reasons
30 * factor has to be a power of 2.
31 * @weight: Exponential weight, or decay rate. This defines how fast the
32 * influence of older values decreases. For performance reasons weight has
33 * to be a power of 2.
34 *
35 * Initialize the EWMA parameters for a given struct ewma @avg.
36 */
37 void ewma_init(struct ewma *avg, unsigned long factor, unsigned long weight)
38 {
39 WARN_ON(!is_power_of_2(weight) || !is_power_of_2(factor));
40
41 avg->weight = ilog2(weight);
42 avg->factor = ilog2(factor);
43 avg->internal = 0;
44 }
45 EXPORT_SYMBOL(ewma_init);
46
47 /**
48 * ewma_add() - Exponentially weighted moving average (EWMA)
49 * @avg: Average structure
50 * @val: Current value
51 *
52 * Add a sample to the average.
53 */
54 struct ewma *ewma_add(struct ewma *avg, unsigned long val)
55 {
56 avg->internal = avg->internal ?
57 (((avg->internal << avg->weight) - avg->internal) +
58 (val << avg->factor)) >> avg->weight :
59 (val << avg->factor);
60 return avg;
61 }
62 EXPORT_SYMBOL(ewma_add);