diff --git a/.phpbench/storage/7ea/1/1d/1352521643e444c41621fdefe7c85347afb71916.xml b/.phpbench/storage/7ea/1/1d/1352521643e444c41621fdefe7c85347afb71916.xml new file mode 100644 index 00000000..3ad6b957 --- /dev/null +++ b/.phpbench/storage/7ea/1/1d/1352521643e444c41621fdefe7c85347afb71916.xml @@ -0,0 +1,406 @@ + +Linuxrunnervmkj6or6.11.0-1018-azure#18~24.04.1-Ubuntu SMP Sat Jun 28 04:46:03 UTC 2025x86_648.5.2/etc/php/8.5/cli/php.iniCore, date, lexbor, openssl, pcre, zlib, filter, hash, json, uri, Zend OPcache, pcntl, random, Reflection, SPL, session, standard, sodium, libxml, mysqlnd, PDO, xml, apcu, ast, bcmath, bz2, calendar, ctype, curl, dba, dom, enchant, mbstring, FFI, fileinfo, ftp, gd, gettext, gmp, iconv, igbinary, imagick, imap, intl, ldap, exif, memcache, mongodb, msgpack, mysqli, odbc, pdo_dblib, PDO_Firebird, pdo_mysql, PDO_ODBC, pdo_pgsql, pdo_sqlite, pdo_sqlsrv, pgsql, Phar, posix, readline, shmop, SimpleXML, snmp, soap, sockets, sqlite3, sqlsrv, sysvmsg, sysvsem, sysvshm, tidy, tokenizer, xmlreader, xmlwriter, xsl, yaml, zip, zmq, memcached, redis, ds10.422363281250.12207031250.04150390625gitmain7f4a4c203511e83cda1b634f305ee29d047fef9c0.00596046447753910.174045562744141.101016998291<fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>4.201174168297 < 3.798825831703 ± 0.37988258317</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>21.005870841487 < 18.994129158513 ± 1.899412915851</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.4 < 1.2 ± 0.12</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>7 < 6 ± 0.6</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.4 < 1.2 ± 0.12</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>7 < 6 ± 0.6</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>3.401174168297 < 3 ± 0.3</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>17.005870841487 < 15 ± 1.5</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>3.401174168297 < 3 ± 0.3</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>17.005870841487 < 15 ± 1.5</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.8 < 1.4 ± 0.14</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>9 < 7 ± 0.7</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.4 < 1.2 ± 0.12</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>7 < 6 ± 0.6</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>5.399608610568 < 4.600391389432 ± 0.460039138943</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>27.001956947162 < 23.001956947162 ± 2.300195694716</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>5.200391389433 < 4.606653620352 ± 0.460665362035</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>26.001956947162 < 23.033268101761 ± 2.303326810176</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.8 < 1.4 ± 0.14</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>9 < 7 ± 0.7</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>12.571037181996 < 10.699412915851 ± 1.069941291585</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>62.85518590998 < 53.502935420744 ± 5.350293542074</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.4 < 1.2 ± 0.12</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>7 < 6 ± 0.6</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.4 < 1.2 ± 0.12</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>7 < 6 ± 0.6</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.4 < 1.2 ± 0.12</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>7 < 6 ± 0.6</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>2.4 < 2 ± 0.2</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>12 < 10 ± 1</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.8 < 1.6 ± 0.16</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>9 < 8 ± 0.8</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.6 < 1.4 ± 0.14</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>8 < 7 ± 0.7</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>4.999608610568 < 4.200391389432 ± 0.420039138943</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>25.001956947162 < 21.001956947162 ± 2.100195694716</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.8 < 1.6 ± 0.16</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>9 < 8 ± 0.8</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.4 < 1.2 ± 0.12</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>7 < 6 ± 0.6</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.6 < 1.4 ± 0.14</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>8 < 7 ± 0.7</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>6.242661448141 < 5.575733855186 ± 0.557573385519</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>31.213307240704 < 27.878669275929 ± 2.787866927593</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>18.988258317025 < 16.994129158513 ± 1.699412915851</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>2 < 1.8 ± 0.18</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>10 < 9 ± 0.9</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.4 < 1.2 ± 0.12</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>7 < 6 ± 0.6</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.8 < 1.2 ± 0.12</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>9 < 6 ± 0.6</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>36.333463796478 < 30.857534246576 ± 3.085753424658</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>181.66731898239 < 154.28767123288 ± 15.428767123288</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>13.221917808219 < 11.2 ± 1.12</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>66.109589041096 < 56 ± 5.6</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>27.789823874755 < 23.26301369863 ± 2.326301369863</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>138.94911937378 < 116.31506849315 ± 11.631506849315</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.4 < 1.2 ± 0.12</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>7 < 6 ± 0.6</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.6 < 1.4 ± 0.14</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>8 < 7 ± 0.7</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.2 < 1 ± 0.1</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>6 < 5 ± 0.5</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>2 < 1.8 ± 0.18</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>10 < 9 ± 0.9</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.2 < 1 ± 0.1</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>6 < 5 ± 0.5</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>2.6 < 1.6 ± 0.16</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>13 < 8 ± 0.8</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>2.6 < 1.6 ± 0.16</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>13 < 8 ± 0.8</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.4 < 1 ± 0.1</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>7 < 5 ± 0.5</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.2 < 1 ± 0.1</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>6 < 5 ± 0.5</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.4 < 1.2 ± 0.12</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>7 < 6 ± 0.6</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.8 < 1.2 ± 0.12</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>9 < 6 ± 0.6</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.6 < 1.2 ± 0.12</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>8 < 6 ± 0.6</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.6 < 1.2 ± 0.12</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>8 < 6 ± 0.6</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.6 < 1.2 ± 0.12</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>8 < 6 ± 0.6</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.6 < 1.2 ± 0.12</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>8 < 6 ± 0.6</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>6.598825831702 < 5.800391389433 ± 0.580039138943</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>32.994129158513 < 29.001956947162 ± 2.900195694716</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>2 < 1.8 ± 0.18</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>10 < 9 ± 0.9</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>3.402348336595 < 3 ± 0.3</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>17.988258317025 < 15 ± 1.5</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.2 < 1 ± 0.1</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>6 < 5 ± 0.5</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.2 < 1 ± 0.1</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>6 < 5 ± 0.5</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.6 < 1.4 ± 0.14</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>8 < 7 ± 0.7</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.8 < 1.6 ± 0.16</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>9 < 8 ± 0.8</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.6 < 1.2 ± 0.12</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>8 < 6 ± 0.6</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>2 < 1.8 ± 0.18</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>10 < 9 ± 0.9</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>2.801174168297 < 2.4 ± 0.24</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>14.005870841487 < 12 ± 1.2</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>6.357338551859 < 5.599608610568 ± 0.559960861057</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>31.786692759295 < 28.001956947162 ± 2.800195694716</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.6 < 1.4 ± 0.14</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>8 < 7 ± 0.7</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>2.8 < 2.4 ± 0.24</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>14 < 12 ± 1.2</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>2.401174168297 < 2.002348336595 ± 0.200234833659</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.6 < 1.2 ± 0.12</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>8 < 6 ± 0.6</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.6 < 1.2 ± 0.12</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>8 < 6 ± 0.6</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.2 < 1 ± 0.1</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>6 < 5 ± 0.5</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>3.799608610568 < 3.402348336595 ± 0.340234833659</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.4 < 1 ± 0.1</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>7 < 5 ± 0.5</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>2 < 1.6 ± 0.16</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>10 < 8 ± 0.8</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>6 < 5.199608610568 ± 0.519960861057</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>30 < 26.001956947162 ± 2.600195694716</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>2 < 1.6 ± 0.16</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>10 < 8 ± 0.8</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>2.4 < 2 ± 0.2</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>12 < 10 ± 1</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.2 < 1 ± 0.1</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>6 < 5 ± 0.5</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.2 < 1 ± 0.1</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>6 < 5 ± 0.5</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>4.606653620352 < 4 ± 0.4</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>23.033268101761 < 20 ± 2</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.2 < 1 ± 0.1</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>6 < 5 ± 0.5</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>2 < 1.6 ± 0.16</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>10 < 8 ± 0.8</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>48.487671232876 < 42.262622309198 ± 4.22626223092</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>242.43835616438 < 211.31311154599 ± 21.131311154599</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.2 < 1 ± 0.1</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>6 < 5 ± 0.5</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>2.4 < 2 ± 0.2</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>12 < 10 ± 1</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>2 < 1.8 ± 0.18</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>10 < 9 ± 0.9</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.2 < 1 ± 0.1</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>6 < 5 ± 0.5</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.6 < 1.2 ± 0.12</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>8 < 6 ± 0.6</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>2.4 < 2 ± 0.2</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>12 < 10 ± 1</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>3.202348336595 < 2.8 ± 0.28</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>16.988258317025 < 14 ± 1.4</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.6 < 1.2 ± 0.12</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>8 < 6 ± 0.6</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>2.8 < 1.6 ± 0.16</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>14 < 8 ± 0.8</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.4 < 1.2 ± 0.12</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>7 < 6 ± 0.6</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>9.200782778865 < 8.198825831702 ± 0.81988258317</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>46.003913894325 < 40.994129158513 ± 4.099412915851</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.6 < 1.4 ± 0.14</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>8 < 7 ± 0.7</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.6 < 1.4 ± 0.14</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>8 < 7 ± 0.7</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.6 < 1.2 ± 0.12</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>8 < 6 ± 0.6</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.2 < 1 ± 0.1</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>6 < 5 ± 0.5</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.6 < 1.2 ± 0.12</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>8 < 6 ± 0.6</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>2 < 1.8 ± 0.18</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>10 < 9 ± 0.9</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.4 < 1 ± 0.1</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>7 < 5 ± 0.5</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.8 < 1.2 ± 0.12</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>9 < 6 ± 0.6</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>4.546771037182 < 3.802348336595 ± 0.380234833659</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>22.73385518591 < 19.988258317025 ± 1.998825831703</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>16.988258317025 < 15.001956947162 ± 1.500195694716</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.4 < 1.2 ± 0.12</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>7 < 6 ± 0.6</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.2 < 1 ± 0.1</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>6 < 5 ± 0.5</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.2 < 1 ± 0.1</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>6 < 5 ± 0.5</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>2.4 < 2 ± 0.2</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>12 < 10 ± 1</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>14.399217221135 < 12.429745596869 ± 1.242974559687</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>71.996086105675 < 62.148727984344 ± 6.214872798434</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.2 < 1 ± 0.1</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>6 < 5 ± 0.5</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.8 < 1.4 ± 0.14</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>9 < 7 ± 0.7</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>2.6 < 1.6 ± 0.16</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>13 < 8 ± 0.8</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.4 < 1.2 ± 0.12</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>7 < 6 ± 0.6</> += <fg=#dc322f>false</> diff --git a/latest.md b/latest.md index 3eddb13e..c7775d57 100644 --- a/latest.md +++ b/latest.md @@ -1,163 +1,163 @@ | benchmark | subject | set | revs | its | mem_peak | mode | rstdev | |----------------|----------|--------------------|------|-----|----------|-----------|--------| -| ValidatorBench | evaluate | All | 5 | 10 | 2.065mb | 10.210μs | ±1.30% | -| ValidatorBench | evaluate | AllOf | 5 | 10 | 2.065mb | 3.799μs | ±2.63% | -| ValidatorBench | evaluate | Alnum | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | -| ValidatorBench | evaluate | Alpha | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | +| ValidatorBench | evaluate | All | 5 | 10 | 2.065mb | 11.164μs | ±3.48% | +| ValidatorBench | evaluate | AllOf | 5 | 10 | 2.065mb | 4.201μs | ±2.29% | +| ValidatorBench | evaluate | Alnum | 5 | 10 | 2.065mb | 1.400μs | ±0.00% | +| ValidatorBench | evaluate | Alpha | 5 | 10 | 2.065mb | 1.400μs | ±0.00% | | ValidatorBench | evaluate | AlwaysInvalid | 5 | 10 | 2.065mb | 2.000μs | ±0.00% | | ValidatorBench | evaluate | AlwaysValid | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | AnyOf | 5 | 10 | 2.065mb | 3.000μs | ±0.00% | +| ValidatorBench | evaluate | AnyOf | 5 | 10 | 2.065mb | 3.401μs | ±2.82% | | ValidatorBench | evaluate | ArrayType | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | | ValidatorBench | evaluate | ArrayVal | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | Attributes | 5 | 10 | 2.065mb | 3.000μs | ±0.00% | -| ValidatorBench | evaluate | Base | 5 | 10 | 2.065mb | 1.400μs | ±0.00% | -| ValidatorBench | evaluate | Base64 | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | -| ValidatorBench | evaluate | Between | 5 | 10 | 2.066mb | 4.600μs | ±1.97% | -| ValidatorBench | evaluate | BetweenExclusive | 5 | 10 | 2.066mb | 4.607μs | ±3.03% | +| ValidatorBench | evaluate | Attributes | 5 | 10 | 2.065mb | 3.401μs | ±2.82% | +| ValidatorBench | evaluate | Base | 5 | 10 | 2.065mb | 1.800μs | ±0.00% | +| ValidatorBench | evaluate | Base64 | 5 | 10 | 2.065mb | 1.400μs | ±0.00% | +| ValidatorBench | evaluate | Between | 5 | 10 | 2.066mb | 5.400μs | ±2.87% | +| ValidatorBench | evaluate | BetweenExclusive | 5 | 10 | 2.066mb | 5.200μs | ±2.06% | | ValidatorBench | evaluate | Blank | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | | ValidatorBench | evaluate | BoolType | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | | ValidatorBench | evaluate | BoolVal | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | Bsn | 5 | 10 | 2.065mb | 1.400μs | ±0.00% | -| ValidatorBench | evaluate | Call | 5 | 10 | 2.065mb | 10.699μs | ±1.51% | -| ValidatorBench | evaluate | CallableType | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | -| ValidatorBench | evaluate | Callback | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | -| ValidatorBench | evaluate | Charset | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | +| ValidatorBench | evaluate | Bsn | 5 | 10 | 2.065mb | 1.800μs | ±0.00% | +| ValidatorBench | evaluate | Call | 5 | 10 | 2.065mb | 12.571μs | ±1.78% | +| ValidatorBench | evaluate | CallableType | 5 | 10 | 2.065mb | 1.400μs | ±0.00% | +| ValidatorBench | evaluate | Callback | 5 | 10 | 2.065mb | 1.400μs | ±0.00% | +| ValidatorBench | evaluate | Charset | 5 | 10 | 2.065mb | 1.400μs | ±0.00% | | ValidatorBench | evaluate | Circuit | 5 | 10 | 2.065mb | 2.000μs | ±0.00% | -| ValidatorBench | evaluate | Cnh | 5 | 10 | 2.065mb | 2.000μs | ±0.00% | -| ValidatorBench | evaluate | Cnpj | 5 | 10 | 2.065mb | 3.000μs | ±0.00% | -| ValidatorBench | evaluate | Consonant | 5 | 10 | 2.065mb | 1.600μs | ±0.00% | -| ValidatorBench | evaluate | Contains | 5 | 10 | 2.065mb | 1.400μs | ±0.00% | -| ValidatorBench | evaluate | ContainsAny | 5 | 10 | 2.066mb | 4.200μs | ±2.15% | -| ValidatorBench | evaluate | ContainsCount | 5 | 10 | 2.065mb | 1.600μs | ±0.00% | -| ValidatorBench | evaluate | Control | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | +| ValidatorBench | evaluate | Cnh | 5 | 10 | 2.065mb | 2.400μs | ±0.00% | +| ValidatorBench | evaluate | Cnpj | 5 | 10 | 2.065mb | 3.199μs | ±3.14% | +| ValidatorBench | evaluate | Consonant | 5 | 10 | 2.065mb | 1.800μs | ±0.00% | +| ValidatorBench | evaluate | Contains | 5 | 10 | 2.065mb | 1.600μs | ±0.00% | +| ValidatorBench | evaluate | ContainsAny | 5 | 10 | 2.066mb | 5.000μs | ±1.79% | +| ValidatorBench | evaluate | ContainsCount | 5 | 10 | 2.065mb | 1.800μs | ±0.00% | +| ValidatorBench | evaluate | Control | 5 | 10 | 2.065mb | 1.400μs | ±0.00% | | ValidatorBench | evaluate | Countable | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | CountryCode | 5 | 10 | 2.282mb | 1.400μs | ±0.00% | -| ValidatorBench | evaluate | Cpf | 5 | 10 | 2.065mb | 2.200μs | ±0.00% | -| ValidatorBench | evaluate | CreditCard | 5 | 10 | 2.065mb | 5.000μs | ±1.20% | -| ValidatorBench | evaluate | CurrencyCode | 5 | 10 | 2.148mb | 1.200μs | ±0.00% | -| ValidatorBench | evaluate | Date | 5 | 10 | 2.065mb | 5.576μs | ±3.21% | -| ValidatorBench | evaluate | DateTime | 5 | 10 | 2.065mb | 3.399μs | ±2.95% | -| ValidatorBench | evaluate | DateTimeDiff | 5 | 10 | 2.066mb | 6.616μs | ±2.78% | -| ValidatorBench | evaluate | Decimal | 5 | 10 | 2.065mb | 1.800μs | ±0.00% | -| ValidatorBench | evaluate | Digit | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | -| ValidatorBench | evaluate | Directory | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | -| ValidatorBench | evaluate | Domain | 5 | 10 | 2.329mb | 30.858μs | ±1.10% | -| ValidatorBench | evaluate | Each | 5 | 10 | 2.065mb | 11.200μs | ±0.72% | -| ValidatorBench | evaluate | Email | 5 | 10 | 2.229mb | 23.263μs | ±1.64% | -| ValidatorBench | evaluate | Emoji | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | -| ValidatorBench | evaluate | EndsWith | 5 | 10 | 2.065mb | 1.400μs | ±0.00% | -| ValidatorBench | evaluate | Equals | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | Equivalent | 5 | 10 | 2.065mb | 1.800μs | ±0.00% | -| ValidatorBench | evaluate | Even | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | Executable | 5 | 10 | 2.065mb | 1.600μs | ±0.00% | -| ValidatorBench | evaluate | Exists | 5 | 10 | 2.065mb | 1.600μs | ±0.00% | -| ValidatorBench | evaluate | Extension | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | Factor | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | +| ValidatorBench | evaluate | CountryCode | 5 | 10 | 2.278mb | 1.600μs | ±0.00% | +| ValidatorBench | evaluate | Cpf | 5 | 10 | 2.065mb | 2.400μs | ±0.00% | +| ValidatorBench | evaluate | CreditCard | 5 | 10 | 2.065mb | 5.400μs | ±2.34% | +| ValidatorBench | evaluate | CurrencyCode | 5 | 10 | 2.144mb | 1.200μs | ±0.00% | +| ValidatorBench | evaluate | Date | 5 | 10 | 2.065mb | 6.243μs | ±2.40% | +| ValidatorBench | evaluate | DateTime | 5 | 10 | 2.065mb | 3.700μs | ±2.70% | +| ValidatorBench | evaluate | DateTimeDiff | 5 | 10 | 2.066mb | 7.210μs | ±1.84% | +| ValidatorBench | evaluate | Decimal | 5 | 10 | 2.065mb | 2.000μs | ±0.00% | +| ValidatorBench | evaluate | Digit | 5 | 10 | 2.065mb | 1.400μs | ±0.00% | +| ValidatorBench | evaluate | Directory | 5 | 10 | 2.065mb | 1.800μs | ±0.00% | +| ValidatorBench | evaluate | Domain | 5 | 10 | 2.324mb | 36.333μs | ±1.07% | +| ValidatorBench | evaluate | Each | 5 | 10 | 2.065mb | 13.222μs | ±1.20% | +| ValidatorBench | evaluate | Email | 5 | 10 | 2.227mb | 27.790μs | ±1.97% | +| ValidatorBench | evaluate | Emoji | 5 | 10 | 2.065mb | 1.400μs | ±0.00% | +| ValidatorBench | evaluate | EndsWith | 5 | 10 | 2.065mb | 1.600μs | ±0.00% | +| ValidatorBench | evaluate | Equals | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | +| ValidatorBench | evaluate | Equivalent | 5 | 10 | 2.065mb | 2.000μs | ±0.00% | +| ValidatorBench | evaluate | Even | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | +| ValidatorBench | evaluate | Executable | 5 | 10 | 2.065mb | 2.600μs | ±0.00% | +| ValidatorBench | evaluate | Exists | 5 | 10 | 2.065mb | 2.600μs | ±0.00% | +| ValidatorBench | evaluate | Extension | 5 | 10 | 2.065mb | 1.400μs | ±0.00% | +| ValidatorBench | evaluate | Factor | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | | ValidatorBench | evaluate | FalseVal | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | | ValidatorBench | evaluate | Falsy | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | Fibonacci | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | -| ValidatorBench | evaluate | File | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | -| ValidatorBench | evaluate | FilterVar | 5 | 10 | 2.065mb | 2.400μs | ±0.00% | +| ValidatorBench | evaluate | Fibonacci | 5 | 10 | 2.065mb | 1.400μs | ±0.00% | +| ValidatorBench | evaluate | File | 5 | 10 | 2.065mb | 1.800μs | ±0.00% | +| ValidatorBench | evaluate | FilterVar | 5 | 10 | 2.065mb | 2.599μs | ±3.89% | | ValidatorBench | evaluate | Finite | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | | ValidatorBench | evaluate | FloatType | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | FloatVal | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | -| ValidatorBench | evaluate | Graph | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | -| ValidatorBench | evaluate | GreaterThan | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | -| ValidatorBench | evaluate | GreaterThanOrEqual | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | -| ValidatorBench | evaluate | Hetu | 5 | 10 | 2.065mb | 5.800μs | ±1.85% | -| ValidatorBench | evaluate | HexRgbColor | 5 | 10 | 2.065mb | 1.800μs | ±0.00% | -| ValidatorBench | evaluate | Iban | 5 | 10 | 2.065mb | 3.000μs | ±0.00% | +| ValidatorBench | evaluate | FloatVal | 5 | 10 | 2.065mb | 1.600μs | ±0.00% | +| ValidatorBench | evaluate | Graph | 5 | 10 | 2.065mb | 1.600μs | ±0.00% | +| ValidatorBench | evaluate | GreaterThan | 5 | 10 | 2.065mb | 1.600μs | ±0.00% | +| ValidatorBench | evaluate | GreaterThanOrEqual | 5 | 10 | 2.065mb | 1.600μs | ±0.00% | +| ValidatorBench | evaluate | Hetu | 5 | 10 | 2.065mb | 6.599μs | ±1.50% | +| ValidatorBench | evaluate | HexRgbColor | 5 | 10 | 2.065mb | 2.000μs | ±0.00% | +| ValidatorBench | evaluate | Iban | 5 | 10 | 2.065mb | 3.402μs | ±2.86% | | ValidatorBench | evaluate | Identical | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | Image | 5 | 10 | 9.834mb | 252.241μs | ±1.83% | -| ValidatorBench | evaluate | Imei | 5 | 10 | 2.065mb | 4.000μs | ±2.33% | -| ValidatorBench | evaluate | In | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | +| ValidatorBench | evaluate | Image | 5 | 10 | 9.832mb | 222.558μs | ±1.48% | +| ValidatorBench | evaluate | Imei | 5 | 10 | 2.065mb | 4.198μs | ±2.44% | +| ValidatorBench | evaluate | In | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | | ValidatorBench | evaluate | Infinite | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | Instance | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | +| ValidatorBench | evaluate | Instance | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | | ValidatorBench | evaluate | IntType | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | | ValidatorBench | evaluate | IntVal | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | Ip | 5 | 10 | 2.065mb | 1.400μs | ±0.00% | -| ValidatorBench | evaluate | Isbn | 5 | 10 | 2.065mb | 1.600μs | ±0.00% | +| ValidatorBench | evaluate | Ip | 5 | 10 | 2.065mb | 1.600μs | ±0.00% | +| ValidatorBench | evaluate | Isbn | 5 | 10 | 2.065mb | 1.800μs | ±0.00% | | ValidatorBench | evaluate | IterableType | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | | ValidatorBench | evaluate | IterableVal | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | Json | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | -| ValidatorBench | evaluate | Key | 5 | 10 | 2.065mb | 3.000μs | ±3.12% | -| ValidatorBench | evaluate | KeyExists | 5 | 10 | 2.065mb | 1.800μs | ±0.00% | -| ValidatorBench | evaluate | KeyOptional | 5 | 10 | 2.065mb | 2.400μs | ±0.00% | -| ValidatorBench | evaluate | KeySet | 5 | 10 | 2.066mb | 5.600μs | ±2.77% | -| ValidatorBench | evaluate | LanguageCode | 5 | 10 | 9.229mb | 1.400μs | ±0.00% | -| ValidatorBench | evaluate | Lazy | 5 | 10 | 2.065mb | 1.400μs | ±0.00% | -| ValidatorBench | evaluate | LeapDate | 5 | 10 | 2.065mb | 2.400μs | ±0.00% | -| ValidatorBench | evaluate | LeapYear | 5 | 10 | 2.065mb | 2.002μs | ±4.76% | -| ValidatorBench | evaluate | Length | 5 | 10 | 2.065mb | 3.200μs | ±0.00% | -| ValidatorBench | evaluate | LessThan | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | -| ValidatorBench | evaluate | LessThanOrEqual | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | -| ValidatorBench | evaluate | Lowercase | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | Luhn | 5 | 10 | 2.065mb | 3.402μs | ±2.86% | -| ValidatorBench | evaluate | MacAddress | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | Max | 5 | 10 | 2.065mb | 9.199μs | ±1.90% | -| ValidatorBench | evaluate | Min | 5 | 10 | 2.065mb | 9.205μs | ±1.73% | -| ValidatorBench | evaluate | Mimetype | 5 | 10 | 9.836mb | 263.952μs | ±2.28% | +| ValidatorBench | evaluate | Json | 5 | 10 | 2.065mb | 1.600μs | ±0.00% | +| ValidatorBench | evaluate | Key | 5 | 10 | 2.065mb | 3.000μs | ±3.00% | +| ValidatorBench | evaluate | KeyExists | 5 | 10 | 2.065mb | 2.000μs | ±0.00% | +| ValidatorBench | evaluate | KeyOptional | 5 | 10 | 2.065mb | 2.801μs | ±3.40% | +| ValidatorBench | evaluate | KeySet | 5 | 10 | 2.066mb | 6.357μs | ±2.35% | +| ValidatorBench | evaluate | LanguageCode | 5 | 10 | 9.225mb | 1.400μs | ±0.00% | +| ValidatorBench | evaluate | Lazy | 5 | 10 | 2.065mb | 1.600μs | ±0.00% | +| ValidatorBench | evaluate | LeapDate | 5 | 10 | 2.065mb | 2.800μs | ±0.00% | +| ValidatorBench | evaluate | LeapYear | 5 | 10 | 2.065mb | 2.401μs | ±3.95% | +| ValidatorBench | evaluate | Length | 5 | 10 | 2.065mb | 3.199μs | ±3.14% | +| ValidatorBench | evaluate | LessThan | 5 | 10 | 2.065mb | 1.600μs | ±0.00% | +| ValidatorBench | evaluate | LessThanOrEqual | 5 | 10 | 2.065mb | 1.600μs | ±0.00% | +| ValidatorBench | evaluate | Lowercase | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | +| ValidatorBench | evaluate | Luhn | 5 | 10 | 2.065mb | 3.800μs | ±2.45% | +| ValidatorBench | evaluate | MacAddress | 5 | 10 | 2.065mb | 1.400μs | ±0.00% | +| ValidatorBench | evaluate | Max | 5 | 10 | 2.065mb | 9.709μs | ±1.93% | +| ValidatorBench | evaluate | Min | 5 | 10 | 2.065mb | 9.614μs | ±1.65% | +| ValidatorBench | evaluate | Mimetype | 5 | 10 | 9.834mb | 224.067μs | ±2.14% | | ValidatorBench | evaluate | Multiple | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | Named | 5 | 10 | 2.065mb | 1.600μs | ±0.00% | +| ValidatorBench | evaluate | Named | 5 | 10 | 2.065mb | 2.000μs | ±0.00% | | ValidatorBench | evaluate | Negative | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | NfeAccessKey | 5 | 10 | 2.065mb | 5.200μs | ±2.43% | -| ValidatorBench | evaluate | Nif | 5 | 10 | 2.065mb | 1.600μs | ±0.00% | -| ValidatorBench | evaluate | Nip | 5 | 10 | 2.065mb | 2.000μs | ±0.00% | -| ValidatorBench | evaluate | NoneOf | 5 | 10 | 2.065mb | 4.000μs | ±0.00% | -| ValidatorBench | evaluate | Not | 5 | 10 | 2.065mb | 2.000μs | ±0.00% | -| ValidatorBench | evaluate | NullOr | 5 | 10 | 2.065mb | 3.000μs | ±0.00% | -| ValidatorBench | evaluate | Number | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | +| ValidatorBench | evaluate | NfeAccessKey | 5 | 10 | 2.065mb | 6.000μs | ±1.00% | +| ValidatorBench | evaluate | Nif | 5 | 10 | 2.065mb | 2.000μs | ±0.00% | +| ValidatorBench | evaluate | Nip | 5 | 10 | 2.065mb | 2.400μs | ±0.00% | +| ValidatorBench | evaluate | NoneOf | 5 | 10 | 2.065mb | 4.201μs | ±2.29% | +| ValidatorBench | evaluate | Not | 5 | 10 | 2.065mb | 2.200μs | ±0.00% | +| ValidatorBench | evaluate | NullOr | 5 | 10 | 2.065mb | 3.000μs | ±3.00% | +| ValidatorBench | evaluate | Number | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | | ValidatorBench | evaluate | NullType | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | | ValidatorBench | evaluate | NumericVal | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | | ValidatorBench | evaluate | ObjectType | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | Odd | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | OneOf | 5 | 10 | 2.065mb | 4.000μs | ±0.00% | -| ValidatorBench | evaluate | PerfectSquare | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | Pesel | 5 | 10 | 2.065mb | 1.600μs | ±0.00% | -| ValidatorBench | evaluate | Phone | 5 | 10 | 2.927mb | 42.263μs | ±0.89% | -| ValidatorBench | evaluate | PhpLabel | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | Pis | 5 | 10 | 2.065mb | 2.000μs | ±0.00% | -| ValidatorBench | evaluate | PolishIdCard | 5 | 10 | 2.065mb | 2.000μs | ±0.00% | -| ValidatorBench | evaluate | PortugueseNif | 5 | 10 | 2.065mb | 3.000μs | ±3.12% | +| ValidatorBench | evaluate | Odd | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | +| ValidatorBench | evaluate | OneOf | 5 | 10 | 2.065mb | 4.607μs | ±3.03% | +| ValidatorBench | evaluate | PerfectSquare | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | +| ValidatorBench | evaluate | Pesel | 5 | 10 | 2.065mb | 2.000μs | ±0.00% | +| ValidatorBench | evaluate | Phone | 5 | 10 | 2.925mb | 48.488μs | ±1.61% | +| ValidatorBench | evaluate | PhpLabel | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | +| ValidatorBench | evaluate | Pis | 5 | 10 | 2.065mb | 2.400μs | ±0.00% | +| ValidatorBench | evaluate | PolishIdCard | 5 | 10 | 2.065mb | 2.200μs | ±0.00% | +| ValidatorBench | evaluate | PortugueseNif | 5 | 10 | 2.065mb | 3.000μs | ±3.00% | | ValidatorBench | evaluate | Positive | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | PostalCode | 5 | 10 | 2.065mb | 1.800μs | ±0.00% | -| ValidatorBench | evaluate | PrimeNumber | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | Printable | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | -| ValidatorBench | evaluate | Property | 5 | 10 | 2.065mb | 3.799μs | ±2.63% | -| ValidatorBench | evaluate | PropertyExists | 5 | 10 | 2.065mb | 2.000μs | ±0.00% | -| ValidatorBench | evaluate | PropertyOptional | 5 | 10 | 2.072mb | 2.800μs | ±0.00% | -| ValidatorBench | evaluate | PublicDomainSuffix | 5 | 10 | 2.065mb | 2.000μs | ±0.00% | -| ValidatorBench | evaluate | Punct | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | -| ValidatorBench | evaluate | Readable | 5 | 10 | 2.065mb | 1.600μs | ±0.00% | -| ValidatorBench | evaluate | Regex | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | +| ValidatorBench | evaluate | PostalCode | 5 | 10 | 2.065mb | 2.000μs | ±0.00% | +| ValidatorBench | evaluate | PrimeNumber | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | +| ValidatorBench | evaluate | Printable | 5 | 10 | 2.065mb | 1.600μs | ±0.00% | +| ValidatorBench | evaluate | Property | 5 | 10 | 2.065mb | 4.001μs | ±2.40% | +| ValidatorBench | evaluate | PropertyExists | 5 | 10 | 2.065mb | 2.400μs | ±0.00% | +| ValidatorBench | evaluate | PropertyOptional | 5 | 10 | 2.072mb | 3.202μs | ±3.03% | +| ValidatorBench | evaluate | PublicDomainSuffix | 5 | 10 | 2.065mb | 2.200μs | ±0.00% | +| ValidatorBench | evaluate | Punct | 5 | 10 | 2.065mb | 1.600μs | ±0.00% | +| ValidatorBench | evaluate | Readable | 5 | 10 | 2.065mb | 2.800μs | ±0.00% | +| ValidatorBench | evaluate | Regex | 5 | 10 | 2.065mb | 1.400μs | ±0.00% | | ValidatorBench | evaluate | ResourceType | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | | ValidatorBench | evaluate | Roman | 5 | 10 | 2.065mb | 2.000μs | ±0.00% | | ValidatorBench | evaluate | ScalarVal | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | Size | 5 | 10 | 2.066mb | 8.199μs | ±1.21% | -| ValidatorBench | evaluate | Slug | 5 | 10 | 2.065mb | 1.400μs | ±0.00% | -| ValidatorBench | evaluate | Sorted | 5 | 10 | 2.065mb | 1.400μs | ±0.00% | -| ValidatorBench | evaluate | Space | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | -| ValidatorBench | evaluate | Spaced | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | StartsWith | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | +| ValidatorBench | evaluate | Size | 5 | 10 | 2.066mb | 9.201μs | ±1.98% | +| ValidatorBench | evaluate | Slug | 5 | 10 | 2.065mb | 1.600μs | ±0.00% | +| ValidatorBench | evaluate | Sorted | 5 | 10 | 2.065mb | 1.600μs | ±0.00% | +| ValidatorBench | evaluate | Space | 5 | 10 | 2.065mb | 1.600μs | ±0.00% | +| ValidatorBench | evaluate | Spaced | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | +| ValidatorBench | evaluate | StartsWith | 5 | 10 | 2.065mb | 1.600μs | ±0.00% | | ValidatorBench | evaluate | StringType | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | | ValidatorBench | evaluate | StringVal | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | SubdivisionCode | 5 | 10 | 6.899mb | 1.800μs | ±0.00% | -| ValidatorBench | evaluate | Subset | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | SymbolicLink | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | +| ValidatorBench | evaluate | SubdivisionCode | 5 | 10 | 6.896mb | 2.000μs | ±0.00% | +| ValidatorBench | evaluate | Subset | 5 | 10 | 2.065mb | 1.400μs | ±0.00% | +| ValidatorBench | evaluate | SymbolicLink | 5 | 10 | 2.065mb | 1.800μs | ±0.00% | | ValidatorBench | evaluate | Templated | 5 | 10 | 2.065mb | 2.000μs | ±0.00% | -| ValidatorBench | evaluate | Time | 5 | 10 | 2.065mb | 3.802μs | ±2.56% | -| ValidatorBench | evaluate | Tld | 5 | 10 | 2.143mb | 2.800μs | ±0.00% | +| ValidatorBench | evaluate | Time | 5 | 10 | 2.065mb | 4.547μs | ±3.76% | +| ValidatorBench | evaluate | Tld | 5 | 10 | 2.139mb | 3.000μs | ±3.00% | | ValidatorBench | evaluate | TrueVal | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | | ValidatorBench | evaluate | Undef | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | UndefOr | 5 | 10 | 2.065mb | 3.000μs | ±3.00% | -| ValidatorBench | evaluate | Unique | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | -| ValidatorBench | evaluate | Uploaded | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | Uppercase | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | Url | 5 | 10 | 2.066mb | 2.000μs | ±0.00% | -| ValidatorBench | evaluate | Uuid | 5 | 10 | 2.567mb | 12.430μs | ±1.52% | -| ValidatorBench | evaluate | Version | 5 | 10 | 2.065mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | VideoUrl | 5 | 10 | 2.065mb | 2.000μs | ±0.00% | +| ValidatorBench | evaluate | UndefOr | 5 | 10 | 2.065mb | 3.202μs | ±3.03% | +| ValidatorBench | evaluate | Unique | 5 | 10 | 2.065mb | 1.400μs | ±0.00% | +| ValidatorBench | evaluate | Uploaded | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | +| ValidatorBench | evaluate | Uppercase | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | +| ValidatorBench | evaluate | Url | 5 | 10 | 2.066mb | 2.400μs | ±0.00% | +| ValidatorBench | evaluate | Uuid | 5 | 10 | 2.563mb | 14.399μs | ±1.28% | +| ValidatorBench | evaluate | Version | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | +| ValidatorBench | evaluate | VideoUrl | 5 | 10 | 2.065mb | 2.200μs | ±0.00% | | ValidatorBench | evaluate | Vowel | 5 | 10 | 2.065mb | 1.600μs | ±0.00% | -| ValidatorBench | evaluate | When | 5 | 10 | 2.065mb | 1.400μs | ±0.00% | -| ValidatorBench | evaluate | Writable | 5 | 10 | 2.065mb | 1.600μs | ±0.00% | -| ValidatorBench | evaluate | Xdigit | 5 | 10 | 2.065mb | 1.200μs | ±0.00% | +| ValidatorBench | evaluate | When | 5 | 10 | 2.065mb | 1.800μs | ±0.00% | +| ValidatorBench | evaluate | Writable | 5 | 10 | 2.065mb | 2.600μs | ±0.00% | +| ValidatorBench | evaluate | Xdigit | 5 | 10 | 2.065mb | 1.400μs | ±0.00% |