fix incorrect use of isnormal() (#5677)
Costa Tsaousis committed
Mar 21, 2019 at 19:14 UTC
44955f720e1e70c9e1921616e29f6ae09de95f2c
7 files changed
+19
-21
libnetdata/statistical/statistical.c
+8
-8
@@ -23,7 +23,7 @@ inline LONG_DOUBLE sum_and_count(const LONG_DOUBLE *series, size_t entries, size
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size_t c = 0;
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for(value = series; value < end ; value++) {
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- if(isnormal(*value)) {
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+ if(calculated_number_isnumber(*value)) {
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sum += *value;
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c++;
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}
@@ -62,7 +62,7 @@ LONG_DOUBLE moving_average(const LONG_DOUBLE *series, size_t entries, size_t per
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for(i = 0, count = 0; i < entries; i++) {
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LONG_DOUBLE value = series[i];
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- if(unlikely(!isnormal(value))) continue;
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+ if(unlikely(!calculated_number_isnumber(value))) continue;
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if(unlikely(count < period)) {
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sum += value;
@@ -173,7 +173,7 @@ LONG_DOUBLE running_median_estimate(const LONG_DOUBLE *series, size_t entries) {
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for(i = 0; i < entries ; i++) {
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LONG_DOUBLE value = series[i];
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- if(unlikely(!isnormal(value))) continue;
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+ if(unlikely(!calculated_number_isnumber(value))) continue;
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average += ( value - average ) * 0.1f; // rough running average.
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median += copysignl( average * 0.01, value - median );
@@ -193,7 +193,7 @@ LONG_DOUBLE standard_deviation(const LONG_DOUBLE *series, size_t entries) {
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LONG_DOUBLE sum;
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for(count = 0, sum = 0, value = series ; value < end ;value++) {
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- if(likely(isnormal(*value))) {
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+ if(likely(calculated_number_isnumber(*value))) {
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count++;
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sum += *value;
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}
@@ -205,7 +205,7 @@ LONG_DOUBLE standard_deviation(const LONG_DOUBLE *series, size_t entries) {
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LONG_DOUBLE average = sum / (LONG_DOUBLE)count;
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for(count = 0, sum = 0, value = series ; value < end ;value++) {
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- if(isnormal(*value)) {
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+ if(calculated_number_isnumber(*value)) {
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count++;
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sum += powl(*value - average, 2);
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}
@@ -232,7 +232,7 @@ LONG_DOUBLE single_exponential_smoothing(const LONG_DOUBLE *series, size_t entri
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LONG_DOUBLE level = (1.0 - alpha) * (*value);
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for(value++ ; value < end; value++) {
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- if(likely(isnormal(*value)))
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+ if(likely(calculated_number_isnumber(*value)))
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level = alpha * (*value) + (1.0 - alpha) * level;
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}
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@@ -250,7 +250,7 @@ LONG_DOUBLE single_exponential_smoothing_reverse(const LONG_DOUBLE *series, size
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LONG_DOUBLE level = (1.0 - alpha) * (*value);
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for(value++ ; value >= series; value--) {
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- if(likely(isnormal(*value)))
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+ if(likely(calculated_number_isnumber(*value)))
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level = alpha * (*value) + (1.0 - alpha) * level;
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}
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@@ -281,7 +281,7 @@ LONG_DOUBLE double_exponential_smoothing(const LONG_DOUBLE *series, size_t entri
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const LONG_DOUBLE *value = series;
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for(value++ ; value >= series; value--) {
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- if(likely(isnormal(*value))) {
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+ if(likely(calculated_number_isnumber(*value))) {
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LONG_DOUBLE last_level = level;
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level = alpha * *value + (1.0 - alpha) * (level + trend);
libnetdata/statistical/statistical.h
-4
@@ -5,10 +5,6 @@
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#include "../libnetdata.h"
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-#ifndef isnormal
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-#define isnormal(x) (fpclassify(x) == FP_NORMAL)
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-#endif
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-
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extern void log_series_to_stderr(LONG_DOUBLE *series, size_t entries, calculated_number result, const char *msg);
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extern LONG_DOUBLE average(const LONG_DOUBLE *series, size_t entries);
libnetdata/storage_number/storage_number.h
+2
@@ -55,6 +55,8 @@ typedef long double collected_number;
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#define calculated_number_equal(a, b) (calculated_number_fabs((a) - (b)) < calculated_number_epsilon)
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+#define calculated_number_isnumber(a) (!(fpclassify(a) & (FP_NAN|FP_INFINITE)))
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+
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typedef uint32_t storage_number;
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#define STORAGE_NUMBER_FORMAT "%u"
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web/api/queries/des/des.c
+2
-2
@@ -99,7 +99,7 @@ void grouping_free_des(RRDR *r) {
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void grouping_add_des(RRDR *r, calculated_number value) {
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struct grouping_des *g = (struct grouping_des *)r->internal.grouping_data;
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- if(isnormal(value)) {
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+ if(calculated_number_isnumber(value)) {
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if(likely(g->count > 0)) {
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// we have at least a number so far
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@@ -128,7 +128,7 @@ void grouping_add_des(RRDR *r, calculated_number value) {
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calculated_number grouping_flush_des(RRDR *r, RRDR_VALUE_FLAGS *rrdr_value_options_ptr) {
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struct grouping_des *g = (struct grouping_des *)r->internal.grouping_data;
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- if(unlikely(!g->count || !isnormal(g->level))) {
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+ if(unlikely(!g->count || !calculated_number_isnumber(g->level))) {
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*rrdr_value_options_ptr |= RRDR_VALUE_EMPTY;
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return 0.0;
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}
web/api/queries/median/median.c
+2
-2
@@ -42,7 +42,7 @@ void grouping_add_median(RRDR *r, calculated_number value) {
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error("INTERNAL ERROR: median buffer overflow on chart '%s' - next_pos = %zu, series_size = %zu, r->group = %ld.", r->st->name, g->next_pos, g->series_size, r->group);
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}
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else {
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- if(isnormal(value))
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+ if(calculated_number_isnumber(value))
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g->series[g->next_pos++] = (LONG_DOUBLE)value;
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}
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}
@@ -64,7 +64,7 @@ calculated_number grouping_flush_median(RRDR *r, RRDR_VALUE_FLAGS *rrdr_value_op
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else
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value = (calculated_number)g->series[0];
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- if(!isnormal(value)) {
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+ if(!calculated_number_isnumber(value)) {
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value = 0.0;
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*rrdr_value_options_ptr |= RRDR_VALUE_EMPTY;
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}
web/api/queries/ses/ses.c
+2
-2
@@ -71,7 +71,7 @@ void grouping_free_ses(RRDR *r) {
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void grouping_add_ses(RRDR *r, calculated_number value) {
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struct grouping_ses *g = (struct grouping_ses *)r->internal.grouping_data;
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- if(isnormal(value)) {
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+ if(calculated_number_isnumber(value)) {
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if(unlikely(!g->count))
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g->level = value;
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@@ -83,7 +83,7 @@ void grouping_add_ses(RRDR *r, calculated_number value) {
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calculated_number grouping_flush_ses(RRDR *r, RRDR_VALUE_FLAGS *rrdr_value_options_ptr) {
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struct grouping_ses *g = (struct grouping_ses *)r->internal.grouping_data;
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- if(unlikely(!g->count || !isnormal(g->level))) {
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+ if(unlikely(!g->count || !calculated_number_isnumber(g->level))) {
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*rrdr_value_options_ptr |= RRDR_VALUE_EMPTY;
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return 0.0;
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}
web/api/queries/stddev/stddev.c
+3
-3
@@ -36,7 +36,7 @@ void grouping_free_stddev(RRDR *r) {
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void grouping_add_stddev(RRDR *r, calculated_number value) {
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struct grouping_stddev *g = (struct grouping_stddev *)r->internal.grouping_data;
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- if(isnormal(value)) {
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+ if(calculated_number_isnumber(value)) {
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g->count++;
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// See Knuth TAOCP vol 2, 3rd edition, page 232
@@ -74,7 +74,7 @@ calculated_number grouping_flush_stddev(RRDR *r, RRDR_VALUE_FLAGS *rrdr_value_op
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if(likely(g->count > 1)) {
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value = stddev(g);
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- if(!isnormal(value)) {
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+ if(!calculated_number_isnumber(value)) {
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value = 0.0;
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*rrdr_value_options_ptr |= RRDR_VALUE_EMPTY;
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}
@@ -102,7 +102,7 @@ calculated_number grouping_flush_coefficient_of_variation(RRDR *r, RRDR_VALUE_FL
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calculated_number m = mean(g);
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value = 100.0 * stddev(g) / ((m < 0)? -m : m);
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- if(unlikely(!isnormal(value))) {
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+ if(unlikely(!calculated_number_isnumber(value))) {
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value = 0.0;
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*rrdr_value_options_ptr |= RRDR_VALUE_EMPTY;
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}