Online PHP editor | perf for dataO

<?php # Modelo scenario define("DEFAULT_COU", "default"); define("UTILITY", "minimum_utility"); define("TRAFFIC", "traffic_percent"); define("MODEL_SCENARIO_GROUP_CPM", "cpm_sum"); define("MODEL_SCENARIO_CPM", "cpm"); define("MODEL_SCENARIO_UTILITY", "utility"); define("MODEL_SCENARIO_MEMBERS", "members"); echo 'DATA 1'; echo ' '; $prints = 54700; $data = [ 1 => 26.14, 2 => 5.64, 3 => 5.14, 4 => 7.17, 5 => 8.11, 6 => 7.69, 7 => 7.16, ]; $distribucion = Test::getAdsDistributionV2($data, DEFAULT_COU); $printResult = Test::printDistribution($prints, $distribucion); echo ' '; echo 'Distribución de ' . $prints . ' prints'; print("<pre>" . print_r($printResult, true) . "</pre>"); $spendResult = Test::spendDistribution($data, $printResult); echo 'Spend por anuncio'; print("<pre>" . print_r($spendResult, true) . "</pre>"); $spendTotal1 = Test::spendTotal($spendResult); echo 'SPEND TOTAL DATA 1 = ' . $spendTotal1 . '$'; echo ' '; echo ' '; echo 'DATA 2'; echo ' '; $prints = 54700; $data = [ 1 => 26.14, 2 => 5.64, 3 => 5.14, 4 => 7.17, 5 => 8.11, 6 => 7.69, 7 => 7.16, ]; $distribucion = Test::getAdsDistributionV2($data, 'BR'); $printResult = Test::printDistribution($prints, $distribucion); echo ' '; echo 'Distribución de ' . $prints . ' prints'; print("<pre>" . print_r($printResult, true) . "</pre>"); $spendResult = Test::spendDistribution($data, $printResult); echo 'Spend por anuncio'; print("<pre>" . print_r($spendResult, true) . "</pre>"); $spendTotal2 = Test::spendTotal($spendResult); echo 'SPEND TOTAL 2 = ' . $spendTotal2. '$'; echo ' '; echo ' '; echo 'DIFERENCIA = ' . ($spendTotal2 - $spendTotal1).'$'; echo ' '; echo 'PORCENTAJE DE MEJORA= ' . (($spendTotal2*100/$spendTotal1)-100) . '%'; class Test { public static function spendTotal($spendResult) { $total = 0; foreach ($spendResult as $adId => $spend) { $total += $spend; } return $total; } public static function spendDistribution($data, $printResult) { $result = []; foreach ($printResult as $adId => $dist) { $result[$adId] = $printResult[$adId] * $data[$adId] / 1000; } return $result; } public static function printDistribution($prints, $distribution) { $total = 0; foreach ($distribution as $adId => $dist) { $total += $dist; } $result = []; foreach ($distribution as $adId => $dist) { $result[$adId] = $dist / $total * $prints; } return $result; } public static function getAdsDistributionV2(array $ads, $country) { if ($ads) { $dist = Test::getDist($country); $distGroupsCount = count($dist); arsort($ads); // obtener el CPM mayor de los anuncios a distribuir $firstCpm = reset($ads); // si el primer CPM es vÃ¡lido if ($firstCpm > 0) { // inicialmente tenemos una distribuciÃ³n con todos los anuncios a 0 $adDistribution = array_fill_keys(array_keys($ads), 0); $adsNormalization = array(); for ($i = 1; $i <= $distGroupsCount; $i++) { $dist[$i][MODEL_SCENARIO_GROUP_CPM] = 0; } // para cada anuncio vamos a situarlo en el grupo de CPM que le corresponda foreach ($ads as $adId => $cpm) { // normalizamos entre 0 y 1 la utilidad del anuncio, relativas al mÃ¡ximo CPM $adsNormalization[$adId] = array( MODEL_SCENARIO_CPM => $cpm, MODEL_SCENARIO_UTILITY => $cpm / $firstCpm, ); // IMPORTANTE: si algÃºn anuncio tiene CPM = 0, su utilidad serÃ¡ 0 y tiene que caer obligatoriamente // en el Ãºltimo grupo, a menos que se haya indicado en la uraciÃ³n // una utilidad de 0 para el Ãºltimo grupo, // para cada grupo de CPM de la uraciÃ³n del primero al penÃºltimo for ($i = 1; $i < $distGroupsCount; $i++) { // si la utilidad del anuncio actual es mayor que la del grupo actual if ($adsNormalization[$adId][MODEL_SCENARIO_UTILITY] >= $dist[$i][UTILITY]) { // ubicamos el anuncio en el grupo de CPM $dist[$i][MODEL_SCENARIO_MEMBERS][$adId] = $cpm; // incrementamos el CPM total de anuncios del grupo con el CPM del anuncio actual $dist[$i][MODEL_SCENARIO_GROUP_CPM] += $cpm; } } // si la utilidad del anuncio actual es menor que la del penÃºltimo grupo, entonces pertenece al Ãºltimo grupo if ($adsNormalization[$adId][MODEL_SCENARIO_UTILITY] < $dist[$distGroupsCount - 1][UTILITY]) { // ubicamos el anuncio en el Ãºltimo grupo de CPM // no es necesario agregar CPMs pporque se distribuirÃ¡n uniformemente independientemente del CPM que tengan $dist[$distGroupsCount][MODEL_SCENARIO_MEMBERS][$adId] = 1; } } // calculamos todas las frecuencias de anuncios por grupo, del primero al penÃºltimo // los anuncios que aparezcan en varios grupos, tendrÃ¡n mÃ¡s peso pues se llevarÃ¡n trÃ¡fico de cada uno de los grupos for ($i = 1; $i < $distGroupsCount; $i++) { // para cada anuncio dentro del grupo if (isset($dist[$i][MODEL_SCENARIO_MEMBERS])) { foreach ($dist[$i][MODEL_SCENARIO_MEMBERS] as $adId => $cpm) { // aumentamos la frecuencia del anuncio actual segÃºn su CPM relativo dentro del grupo actual $adDistribution[$adId] += ($dist[$i][TRAFFIC] * $cpm) / $dist[$i][MODEL_SCENARIO_GROUP_CPM]; } } } // tenemos dentro de $adDistribution todos los anuncios de todos los grupos (menos el Ãºltimo) con sus frecuencias relativas // si hay anuncios en el Ãºltimo grupo if (isset($dist[$distGroupsCount][MODEL_SCENARIO_MEMBERS])) { // todos los anuncios del Ãºltimo grupo tienen la misma frecuencia relativa, distribuyendo el trÃ¡fico correspondiente $distribution = $dist[$distGroupsCount][TRAFFIC] / count($dist[$distGroupsCount][MODEL_SCENARIO_MEMBERS]); // actualizamos las frecuencias relativas de los anuncios del Ãºltimo grupo foreach ($dist[$distGroupsCount][MODEL_SCENARIO_MEMBERS] as $adId => $cpm) { $adDistribution[$adId] = $distribution; } } // eliminamos todos los elementos que puedan quedar con frecuencia 0 $adDistribution = Test::array_diff($adDistribution, array(0)); // normalizamos la distribuciÃ³n de cada anuncio ganador tomando como base la menor frecuencia $divide = false; foreach ($adDistribution as $adId => $frequency) { if (intval($frequency) == 0) { $divide = true; break; } } if ($divide) { // obtenemos el valor de la menor frecuencia arsort($adDistribution); $lastProbability = end($adDistribution); foreach ($adDistribution as $adId => &$frequency) { $frequency = intval($frequency / $lastProbability); } } else { foreach ($adDistribution as $adId => &$frequency) { $frequency = intval($frequency); } } } else { // @codeCoverageIgnoreStart // todos los anuncios se distribuyen uniformemente $adDistribution = array_fill_keys(array_keys($ads), 1); // @codeCoverageIgnoreEnd } } else { // @codeCoverageIgnoreStart $adDistribution = array(); // @codeCoverageIgnoreEnd } return $adDistribution; } public static function array_diff(array $b, array $a) { $at = array(); foreach ($a as $i) { $at[(string)$i] = 1; } $d = array(); foreach ($b as $k => $i) { if (!isset($at[(string)$i])) { $d[$k] = $i; } } return $d; } public static function getDist($country) { $distributions = array( "BR" => array( 1 => array( UTILITY => 0.9, TRAFFIC => 85, ), 2 => array( UTILITY => 0.55, TRAFFIC => 10, ), 3 => array( UTILITY => 0.45, TRAFFIC => 4, ), 4 => array( UTILITY => 0, TRAFFIC => 1, ), ), DEFAULT_COU => array( 1 => array( UTILITY => 0.70, TRAFFIC => 70, ), 2 => array( UTILITY => 0.55, TRAFFIC => 20, ), 3 => array( UTILITY => 0.45, TRAFFIC => 8, ), 4 => array( UTILITY => 0, TRAFFIC => 2, ), ), ); return $distributions[$country]; } } ?>

Here you find the average performance (time & memory) of each version. A grayed out version indicates it didn't complete successfully (based on exit-code).

Version	System time (s)	User time (s)	Memory (MiB)
8.3.6	0.009	0.009	17.00
8.3.5	0.014	0.005	21.99
8.3.4	0.013	0.003	18.83
8.3.3	0.010	0.006	18.92
8.3.2	0.000	0.008	20.47
8.3.1	0.003	0.005	23.48
8.3.0	0.006	0.006	19.38
8.2.18	0.009	0.006	25.92
8.2.17	0.011	0.007	22.96
8.2.16	0.003	0.017	20.52
8.2.15	0.004	0.004	24.18
8.2.14	0.009	0.000	24.66
8.2.13	0.008	0.000	26.16
8.2.12	0.006	0.003	17.63
8.2.11	0.012	0.000	22.24
8.2.10	0.009	0.003	18.17
8.2.9	0.000	0.008	19.47
8.2.8	0.004	0.004	17.97
8.2.7	0.004	0.004	17.75
8.2.6	0.004	0.004	18.05
8.2.5	0.008	0.000	18.07
8.2.4	0.000	0.009	21.13
8.2.3	0.008	0.000	20.79
8.2.2	0.003	0.005	17.84
8.2.1	0.003	0.005	18.30
8.2.0	0.000	0.008	18.13
8.1.28	0.006	0.010	25.92
8.1.27	0.004	0.004	24.66
8.1.26	0.000	0.008	26.35
8.1.25	0.007	0.004	28.09
8.1.24	0.008	0.003	22.60
8.1.23	0.009	0.003	17.77
8.1.22	0.004	0.004	17.77
8.1.21	0.003	0.005	18.77
8.1.20	0.010	0.000	17.38
8.1.19	0.008	0.000	17.35
8.1.18	0.003	0.006	18.10
8.1.17	0.004	0.007	18.71
8.1.16	0.000	0.008	22.00
8.1.15	0.009	0.000	19.02
8.1.14	0.003	0.006	19.65
8.1.13	0.005	0.003	17.46
8.1.12	0.000	0.008	17.46
8.1.11	0.006	0.006	17.48
8.1.10	0.004	0.004	17.50
8.1.9	0.004	0.004	17.66
8.1.8	0.008	0.000	17.55
8.1.7	0.005	0.002	17.57
8.1.6	0.000	0.008	17.63
8.1.5	0.000	0.008	17.58
8.1.4	0.009	0.000	17.49
8.1.3	0.003	0.005	17.67
8.1.2	0.004	0.004	17.80
8.1.1	0.004	0.004	17.68
8.1.0	0.005	0.003	17.64
8.0.30	0.000	0.008	18.77
8.0.29	0.007	0.000	16.74
8.0.28	0.004	0.004	18.54
8.0.27	0.004	0.004	17.31
8.0.26	0.003	0.003	17.02
8.0.25	0.000	0.008	17.11
8.0.24	0.000	0.008	17.15
8.0.23	0.007	0.000	17.07
8.0.22	0.002	0.005	17.03
8.0.21	0.005	0.003	16.96
8.0.20	0.007	0.000	17.06
8.0.19	0.004	0.004	17.06
8.0.18	0.000	0.008	17.05
8.0.17	0.006	0.003	17.04
8.0.16	0.004	0.004	16.99
8.0.15	0.004	0.004	17.07
8.0.14	0.000	0.007	17.02
8.0.13	0.000	0.007	13.41
8.0.12	0.000	0.008	16.89
8.0.11	0.000	0.008	17.05
8.0.10	0.006	0.003	17.02
8.0.9	0.007	0.000	17.04
8.0.8	0.011	0.011	17.02
8.0.7	0.004	0.004	16.85
8.0.6	0.000	0.008	17.13
8.0.5	0.004	0.004	16.99
8.0.3	0.012	0.006	17.15
8.0.2	0.010	0.009	17.44
8.0.1	0.000	0.008	17.12
8.0.0	0.009	0.011	16.94
7.4.33	0.005	0.000	15.08
7.4.32	0.003	0.003	16.76
7.4.30	0.003	0.003	16.65
7.4.29	0.005	0.003	16.64
7.4.28	0.008	0.000	16.55
7.4.27	0.005	0.003	16.55
7.4.26	0.004	0.004	16.73
7.4.25	0.000	0.007	16.75
7.4.24	0.003	0.004	16.64
7.4.23	0.000	0.007	16.77
7.4.22	0.011	0.009	16.78
7.4.21	0.009	0.006	16.71
7.4.20	0.005	0.003	16.82
7.4.16	0.008	0.013	16.64
7.4.15	0.008	0.011	17.40
7.4.14	0.013	0.011	17.86
7.4.13	0.008	0.016	16.64
7.4.12	0.012	0.005	16.58
7.4.11	0.014	0.011	16.91
7.4.10	0.011	0.014	16.52
7.4.9	0.012	0.008	16.73
7.4.8	0.006	0.012	19.39
7.4.7	0.016	0.006	16.59
7.4.6	0.015	0.003	16.71
7.4.5	0.003	0.007	16.34
7.4.4	0.003	0.013	16.53
7.4.3	0.004	0.015	16.75
7.4.0	0.005	0.011	15.07
7.3.33	0.006	0.000	13.33
7.3.32	0.003	0.003	13.54
7.3.31	0.003	0.003	16.41
7.3.30	0.008	0.000	16.55
7.3.29	0.005	0.010	16.49
7.3.28	0.008	0.012	16.51
7.3.27	0.014	0.007	17.40
7.3.26	0.009	0.009	16.70
7.3.24	0.010	0.010	16.61
7.3.23	0.013	0.004	16.72
7.3.21	0.010	0.007	16.78
7.3.20	0.015	0.003	16.65
7.3.19	0.010	0.007	16.69
7.3.18	0.014	0.011	16.71
7.3.17	0.010	0.008	16.76
7.3.16	0.010	0.007	16.58
7.3.12	0.011	0.008	15.24
7.3.11	0.006	0.013	15.17
7.3.10	0.010	0.007	15.06
7.3.9	0.004	0.014	15.06
7.3.8	0.007	0.008	14.97
7.3.7	0.005	0.009	14.94
7.3.6	0.007	0.008	14.78
7.3.5	0.009	0.002	15.01
7.3.4	0.008	0.003	14.85
7.3.3	0.006	0.011	14.93
7.3.2	0.006	0.008	16.51
7.3.1	0.008	0.005	16.41
7.3.0	0.006	0.007	16.69
7.2.33	0.010	0.010	16.82
7.2.32	0.007	0.017	16.76
7.2.31	0.017	0.007	16.97
7.2.30	0.006	0.012	16.86
7.2.29	0.017	0.010	16.99
7.2.25	0.009	0.009	15.15
7.2.24	0.005	0.013	15.21
7.2.23	0.007	0.005	15.22
7.2.22	0.002	0.013	15.23
7.2.21	0.003	0.011	15.27
7.2.20	0.003	0.007	15.22
7.2.19	0.003	0.013	15.20
7.2.18	0.005	0.009	15.21
7.2.17	0.005	0.009	15.09
7.2.16	0.003	0.013	14.98
7.2.15	0.000	0.013	16.92
7.2.14	0.010	0.003	16.92
7.2.13	0.010	0.007	17.00
7.2.12	0.000	0.015	17.04
7.2.11	0.007	0.007	16.68
7.2.10	0.000	0.014	16.93
7.2.9	0.011	0.004	16.85
7.2.8	0.006	0.006	17.02
7.2.7	0.007	0.007	16.72
7.2.6	0.006	0.006	17.03
7.2.5	0.000	0.010	17.09
7.2.4	0.010	0.007	17.14
7.2.3	0.006	0.009	17.03
7.2.2	0.005	0.005	16.77
7.2.1	0.004	0.011	16.98
7.2.0	0.007	0.003	18.20
7.1.33	0.002	0.012	15.86
7.1.32	0.008	0.007	15.71
7.1.31	0.005	0.010	15.92
7.1.30	0.008	0.006	15.79
7.1.29	0.005	0.008	15.75
7.1.28	0.002	0.011	15.78
7.1.27	0.007	0.006	15.69
7.1.26	0.009	0.005	15.78
7.1.25	0.012	0.000	16.00
7.1.20	0.007	0.007	15.85
7.1.10	0.006	0.006	17.96
7.1.7	0.003	0.006	17.13
7.1.6	0.019	0.006	19.11
7.1.5	0.013	0.010	16.99
7.1.0	0.007	0.073	22.57
7.0.20	0.017	0.007	16.55
7.0.10	0.017	0.090	19.99
7.0.9	0.003	0.080	20.02
7.0.8	0.027	0.070	20.05
7.0.7	0.030	0.060	19.91
7.0.6	0.027	0.080	19.98
7.0.5	0.000	0.050	20.40
7.0.4	0.017	0.050	20.19
7.0.3	0.007	0.073	20.08
7.0.2	0.027	0.037	20.13
7.0.1	0.007	0.083	20.07
7.0.0	0.017	0.057	20.16
5.6.28	0.003	0.063	21.16
5.6.25	0.020	0.073	20.80
5.6.24	0.010	0.083	20.54
5.6.23	0.007	0.073	20.68
5.6.22	0.010	0.080	20.58
5.6.21	0.003	0.053	20.55
5.6.20	0.020	0.080	21.07
5.6.19	0.017	0.040	21.12
5.6.18	0.013	0.080	21.13
5.6.17	0.013	0.087	20.99
5.6.16	0.010	0.050	21.13
5.6.15	0.017	0.073	20.99
5.6.14	0.003	0.083	20.99
5.6.13	0.010	0.083	21.07
5.6.12	0.017	0.053	21.07
5.6.11	0.007	0.053	21.07
5.6.10	0.017	0.077	21.21
5.6.9	0.010	0.080	21.08
5.6.8	0.010	0.087	20.52
5.6.7	0.003	0.060	20.51
5.6.6	0.010	0.057	20.38
5.6.5	0.010	0.063	20.48
5.6.4	0.010	0.043	20.49
5.6.3	0.010	0.067	20.48
5.6.2	0.010	0.047	20.46
5.6.1	0.017	0.073	20.42
5.6.0	0.007	0.067	20.41
5.5.38	0.017	0.080	20.35
5.5.37	0.023	0.073	20.35
5.5.36	0.020	0.040	20.44
5.5.35	0.000	0.053	20.31
5.5.34	0.007	0.073	20.85
5.5.33	0.013	0.080	20.93
5.5.32	0.000	0.060	20.95
5.5.31	0.013	0.043	20.70
5.5.30	0.010	0.060	20.88
5.5.29	0.010	0.047	20.97
5.5.28	0.007	0.080	20.66
5.5.27	0.013	0.077	20.91
5.5.26	0.010	0.057	20.88
5.5.25	0.017	0.083	20.51
5.5.24	0.010	0.043	20.33
5.5.23	0.013	0.080	20.21
5.5.22	0.010	0.080	20.35
5.5.21	0.010	0.053	20.26
5.5.20	0.007	0.077	20.29
5.5.19	0.020	0.063	20.27
5.5.18	0.007	0.070	20.16
5.5.16	0.020	0.063	20.14
5.5.15	0.007	0.077	20.30
5.5.14	0.010	0.080	20.26
5.5.13	0.003	0.083	20.31
5.5.12	0.007	0.080	20.29
5.5.11	0.010	0.047	20.29
5.5.10	0.007	0.047	20.13
5.5.9	0.000	0.050	20.13
5.5.8	0.013	0.063	20.21
5.5.7	0.010	0.063	20.14
5.5.6	0.010	0.073	20.07
5.5.5	0.003	0.083	20.11
5.5.4	0.000	0.087	20.10
5.5.3	0.007	0.077	20.05
5.5.2	0.017	0.070	20.14
5.5.1	0.013	0.050	20.07
5.5.0	0.013	0.050	20.18
5.4.45	0.003	0.040	19.20
5.4.44	0.003	0.077	19.53
5.4.43	0.000	0.083	19.55
5.4.42	0.017	0.040	19.20
5.4.41	0.007	0.077	19.24
5.4.40	0.007	0.077	19.05
5.4.39	0.010	0.077	18.95
5.4.38	0.010	0.077	19.05
5.4.37	0.007	0.060	19.21
5.4.36	0.013	0.067	19.04
5.4.35	0.000	0.047	18.95
5.4.34	0.000	0.053	19.05
5.4.32	0.010	0.073	19.14
5.4.31	0.010	0.077	18.95
5.4.30	0.007	0.070	18.84
5.4.29	0.013	0.047	18.90
5.4.28	0.000	0.083	19.02
5.4.27	0.017	0.073	19.12
5.4.26	0.017	0.070	19.04
5.4.25	0.000	0.073	18.93
5.4.24	0.010	0.057	19.13
5.4.23	0.003	0.070	18.89
5.4.22	0.007	0.077	19.08
5.4.21	0.010	0.077	19.11
5.4.20	0.013	0.077	19.06
5.4.19	0.010	0.070	19.17
5.4.18	0.003	0.083	19.12
5.4.17	0.013	0.070	19.02
5.4.16	0.003	0.060	19.01
5.4.15	0.017	0.060	19.00
5.4.14	0.010	0.037	16.39
5.4.13	0.007	0.080	16.46
5.4.12	0.003	0.047	16.51
5.4.11	0.010	0.063	16.33
5.4.10	0.007	0.077	16.55
5.4.9	0.010	0.057	16.44
5.4.8	0.003	0.047	16.38
5.4.7	0.010	0.033	16.43
5.4.6	0.007	0.067	16.46
5.4.5	0.010	0.060	16.47
5.4.4	0.003	0.080	16.43
5.4.3	0.007	0.067	16.53
5.4.2	0.003	0.047	16.52
5.4.1	0.007	0.040	16.38
5.4.0	0.003	0.073	15.90