diff --git a/.phpbench/storage/7ea/3/b/13525d7c27848b65edf665a4be95633daa541b50.xml b/.phpbench/storage/7ea/3/b/13525d7c27848b65edf665a4be95633daa541b50.xml new file mode 100644 index 00000000..81e022da --- /dev/null +++ b/.phpbench/storage/7ea/3/b/13525d7c27848b65edf665a4be95633daa541b50.xml @@ -0,0 +1,434 @@ + +Linuxrunnervm0kj6c6.14.0-1017-azure#17~24.04.1-Ubuntu SMP Mon Dec 1 20:10:50 UTC 2025x86_648.5.3/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, ds10.273925781250.0878906250.029296875git3.1317ffef4b718b53d7ce6a9decb83b415a4a1eeab0.00715255737304690.150918960571291.3699531555176<fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>5.399608610568 < 4.453228962818 ± 0.445322896282</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>27.001956947162 < 22.26614481409 ± 2.226614481409</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>6.199608610568 < 5.589823874755 ± 0.558982387476</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>31.001956947162 < 27.949119373777 ± 2.794911937378</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>4.4 < 3.999608610568 ± 0.399960861057</> += <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>3.602348336595 < 3.001174168297 ± 0.30011741683</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>18.988258317025 < 15.005870841487 ± 1.500587084149</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>3.800391389432 < 3.199608610568 ± 0.319960861057</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>19.001956947162 < 15.998043052838 ± 1.599804305284</> += <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>5.557338551859 < 4.798825831702 ± 0.47988258317</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>27.786692759295 < 23.994129158513 ± 2.399412915851</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>5.798825831702 < 4.798825831702 ± 0.47988258317</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>28.994129158513 < 23.994129158513 ± 2.399412915851</> += <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>1.8 < 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>1.4 < 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>2.6 < 2.2 ± 0.22</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>13 < 11 ± 1.1</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>3.602348336595 < 3.2 ± 0.32</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>18.988258317025 < 16 ± 1.6</> += <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>5 < 4.201174168297 ± 0.42011741683</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>25 < 21.005870841487 ± 2.100587084149</> += <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 < 1.4 ± 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>2.598825831703 < 2.2 ± 0.22</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>12.994129158513 < 11 ± 1.1</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>6.557338551859 < 5.811350293542 ± 0.581135029354</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>32.786692759295 < 29.05675146771 ± 2.905675146771</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>3.802348336595 < 3.200391389432 ± 0.320039138943</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>19.988258317025 < 16.001956947162 ± 1.600195694716</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>8.200391389432 < 7.221917808219 ± 0.722191780822</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>41.001956947162 < 36.109589041096 ± 3.61095890411</> += <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>1.6 < 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 < 1.2 ± 0.12</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>10 < 6 ± 0.6</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>30.646575342466 < 25.698630136986 ± 2.569863013699</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>153.23287671233 < 128.49315068493 ± 12.849315068493</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>6.778082191781 < 5.796477495108 ± 0.579647749511</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>33.890410958904 < 28.982387475538 ± 2.898238747554</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>27.290802348337 < 23.476320939335 ± 2.347632093933</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>136.45401174168 < 117.38160469667 ± 11.738160469667</> += <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 < 1.4 ± 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>1.2 < 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>3 < 1.8 ± 0.18</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>15 < 9 ± 0.9</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>3 < 1.8 ± 0.18</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>15 < 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>1.2 < 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>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 < 1.4 ± 0.14</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>10 < 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>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 < 1.4 ± 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>1.8 < 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>6.821917808219 < 6 ± 0.6</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>34.109589041096 < 30 ± 3</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>3.600391389432 < 3.002348336595 ± 0.300234833659</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>18.001956947162 < 15.988258317025 ± 1.598825831703</> += <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>1.2 < 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>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>1.2 < 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][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>16.988258317025 < 15 ± 1.5</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>3 < 2.6 ± 0.26</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>15 < 13 ± 1.3</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>6.785909980431 < 5.999608610567 ± 0.599960861057</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>33.929549902153 < 29.998043052838 ± 2.999804305284</> += <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>2.999608610568 < 2.4 ± 0.24</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>14.998043052838 < 12 ± 1.2</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>2.6 < 2.2 ± 0.22</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>13 < 11 ± 1.1</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>4 < 3.6 ± 0.36</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>20 < 18 ± 1.8</> += <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>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>3.999608610568 < 3.402348336595 ± 0.340234833659</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>19.998043052838 < 17.988258317025 ± 1.798825831703</> += <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>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][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>29.816046966732 < 25.786692759295 ± 2.57866927593</> += <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>4.6 < 4 ± 0.4</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>23 < 20 ± 2</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>2.4 < 2.002348336595 ± 0.200234833659</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>1.2 < 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 ± 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>4.798825831702 < 3.999608610568 ± 0.399960861057</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>23.994129158513 < 20 ± 2</> += <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>43.713894324853 < 37.879060665362 ± 3.787906066536</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>218.56947162427 < 189.39530332681 ± 18.939530332681</> += <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>4.197651663405 < 3.799608610568 ± 0.379960861057</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>20.988258317025 < 19 ± 1.9</> += <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>3.399608610568 < 2.999608610568 ± 0.299960861057</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>17 < 14.998043052838 ± 1.499804305284</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>3.6 < 3 ± 0.3</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>18 < 15 ± 1.5</> += <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>3 < 1.8 ± 0.18</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>15 < 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>1.4 < 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>10.2 < 8.854794520548 ± 0.885479452055</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>51 < 44.27397260274 ± 4.427397260274</> += <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 < 1.4 ± 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>1.6 < 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>1.4 < 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 < 1.4 ± 0.14</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>10 < 7 ± 0.7</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>4.597651663405 < 4.000391389432 ± 0.400039138943</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>22.988258317025 < 20.001956947162 ± 2.000195694716</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][avg])</> < <fg=#859900>mode(baseline[time][avg])</> ± 10</> += <fg=#b58900>14.054794520548 < 11.842661448141 ± 1.184266144814</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>70.27397260274 < 59.213307240704 ± 5.92133072407</> += <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>3.402348336595 < 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>1.4 < 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>51.725636007827 < 44.669667318982 ± 4.466966731898</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>258.62818003914 < 223.34833659491 ± 22.334833659491</> += <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>1.8 < 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>3 < 1.8 ± 0.18</> += <fg=#dc322f>false</><fg=#b58900><fg=#859900>mode(variant[time][net])</> < <fg=#859900>mode(baseline[time][net])</> ± 10</> += <fg=#b58900>15 < 9 ± 0.9</> += <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</> diff --git a/latest.md b/latest.md index 0508542b..946c98ff 100644 --- a/latest.md +++ b/latest.md @@ -1,187 +1,187 @@ | benchmark | subject | set | revs | its | mem_peak | mode | rstdev | |--------------------------|-------------------|--------------------|------|-----|----------|-----------|--------| -| IsoCodesBench | subdivisionCode | | 5 | 10 | 8.010mb | 9.222μs | ±2.60% | -| IsoCodesBench | countryCode | | 5 | 10 | 3.100mb | 6.000μs | ±2.11% | -| IsoCodesBench | currencyCode | | 5 | 10 | 2.966mb | 5.643μs | ±2.65% | -| IsoCodesBench | languageCode | | 5 | 10 | 10.046mb | 8.201μs | ±2.12% | -| IsoCodesBench | phone | | 5 | 10 | 4.162mb | 38.117μs | ±1.94% | -| ValidatorBench | evaluate | After | 5 | 10 | 2.064mb | 4.453μs | ±3.63% | -| ValidatorBench | evaluate | All | 5 | 10 | 2.064mb | 5.590μs | ±3.30% | -| ValidatorBench | evaluate | AllOf | 5 | 10 | 2.064mb | 4.000μs | ±2.02% | -| ValidatorBench | evaluate | Alnum | 5 | 10 | 2.064mb | 1.400μs | ±0.00% | -| ValidatorBench | evaluate | Alpha | 5 | 10 | 2.064mb | 1.400μs | ±0.00% | -| ValidatorBench | evaluate | AlwaysInvalid | 5 | 10 | 2.064mb | 2.000μs | ±0.00% | +| IsoCodesBench | subdivisionCode | | 5 | 10 | 8.007mb | 7.200μs | ±1.76% | +| IsoCodesBench | countryCode | | 5 | 10 | 3.097mb | 5.947μs | ±2.85% | +| IsoCodesBench | currencyCode | | 5 | 10 | 2.964mb | 5.604μs | ±2.13% | +| IsoCodesBench | languageCode | | 5 | 10 | 10.044mb | 6.000μs | ±1.49% | +| IsoCodesBench | phone | | 5 | 10 | 4.159mb | 39.789μs | ±2.00% | +| ValidatorBench | evaluate | After | 5 | 10 | 2.064mb | 5.400μs | ±2.87% | +| ValidatorBench | evaluate | All | 5 | 10 | 2.064mb | 6.200μs | ±2.50% | +| ValidatorBench | evaluate | AllOf | 5 | 10 | 2.064mb | 4.400μs | ±1.80% | +| ValidatorBench | evaluate | Alnum | 5 | 10 | 2.064mb | 1.600μs | ±0.00% | +| ValidatorBench | evaluate | Alpha | 5 | 10 | 2.064mb | 1.600μs | ±0.00% | +| ValidatorBench | evaluate | AlwaysInvalid | 5 | 10 | 2.064mb | 2.200μs | ±0.00% | | ValidatorBench | evaluate | AlwaysValid | 5 | 10 | 2.064mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | AnyOf | 5 | 10 | 2.064mb | 3.001μs | ±3.18% | +| ValidatorBench | evaluate | AnyOf | 5 | 10 | 2.064mb | 3.602μs | ±2.70% | | ValidatorBench | evaluate | ArrayType | 5 | 10 | 2.064mb | 1.000μs | ±0.00% | | ValidatorBench | evaluate | ArrayVal | 5 | 10 | 2.064mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | Attributes | 5 | 10 | 2.064mb | 3.200μs | ±2.92% | -| ValidatorBench | evaluate | Base | 5 | 10 | 2.064mb | 1.400μs | ±0.00% | -| ValidatorBench | evaluate | Base64 | 5 | 10 | 2.064mb | 1.200μs | ±0.00% | -| ValidatorBench | evaluate | Between | 5 | 10 | 2.065mb | 4.799μs | ±2.08% | -| ValidatorBench | evaluate | BetweenExclusive | 5 | 10 | 2.065mb | 4.799μs | ±2.08% | -| ValidatorBench | evaluate | Blank | 5 | 10 | 2.064mb | 1.000μs | ±0.00% | +| ValidatorBench | evaluate | Attributes | 5 | 10 | 2.064mb | 3.800μs | ±2.37% | +| ValidatorBench | evaluate | Base | 5 | 10 | 2.064mb | 1.800μs | ±0.00% | +| ValidatorBench | evaluate | Base64 | 5 | 10 | 2.064mb | 1.400μs | ±0.00% | +| ValidatorBench | evaluate | Between | 5 | 10 | 2.065mb | 5.557μs | ±2.69% | +| ValidatorBench | evaluate | BetweenExclusive | 5 | 10 | 2.065mb | 5.799μs | ±1.71% | +| ValidatorBench | evaluate | Blank | 5 | 10 | 2.064mb | 1.200μs | ±0.00% | | ValidatorBench | evaluate | BoolType | 5 | 10 | 2.064mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | BoolVal | 5 | 10 | 2.064mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | Bsn | 5 | 10 | 2.064mb | 1.600μs | ±0.00% | -| ValidatorBench | evaluate | CallableType | 5 | 10 | 2.064mb | 1.200μs | ±0.00% | -| ValidatorBench | evaluate | Charset | 5 | 10 | 2.064mb | 1.200μs | ±0.00% | -| ValidatorBench | evaluate | Cnh | 5 | 10 | 2.064mb | 2.200μs | ±0.00% | -| ValidatorBench | evaluate | Cnpj | 5 | 10 | 2.064mb | 3.200μs | ±2.47% | -| ValidatorBench | evaluate | Consonant | 5 | 10 | 2.064mb | 1.600μs | ±0.00% | -| ValidatorBench | evaluate | Contains | 5 | 10 | 2.064mb | 1.200μs | ±0.00% | -| ValidatorBench | evaluate | ContainsAny | 5 | 10 | 2.065mb | 4.201μs | ±2.29% | -| ValidatorBench | evaluate | ContainsCount | 5 | 10 | 2.064mb | 1.400μs | ±0.00% | -| ValidatorBench | evaluate | Control | 5 | 10 | 2.064mb | 1.400μs | ±0.00% | +| ValidatorBench | evaluate | BoolVal | 5 | 10 | 2.064mb | 1.200μs | ±0.00% | +| ValidatorBench | evaluate | Bsn | 5 | 10 | 2.064mb | 1.800μs | ±0.00% | +| ValidatorBench | evaluate | CallableType | 5 | 10 | 2.064mb | 1.400μs | ±0.00% | +| ValidatorBench | evaluate | Charset | 5 | 10 | 2.064mb | 1.400μs | ±0.00% | +| ValidatorBench | evaluate | Cnh | 5 | 10 | 2.064mb | 2.600μs | ±0.00% | +| ValidatorBench | evaluate | Cnpj | 5 | 10 | 2.064mb | 3.602μs | ±2.70% | +| ValidatorBench | evaluate | Consonant | 5 | 10 | 2.064mb | 1.800μs | ±0.00% | +| ValidatorBench | evaluate | Contains | 5 | 10 | 2.064mb | 1.600μs | ±0.00% | +| ValidatorBench | evaluate | ContainsAny | 5 | 10 | 2.065mb | 5.000μs | ±1.20% | +| ValidatorBench | evaluate | ContainsCount | 5 | 10 | 2.064mb | 1.600μs | ±0.00% | +| ValidatorBench | evaluate | Control | 5 | 10 | 2.064mb | 1.600μs | ±0.00% | | ValidatorBench | evaluate | Countable | 5 | 10 | 2.064mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | CountryCode | 5 | 10 | 3.198mb | 1.400μs | ±0.00% | -| ValidatorBench | evaluate | Cpf | 5 | 10 | 2.064mb | 2.200μs | ±0.00% | -| ValidatorBench | evaluate | CreditCard | 5 | 10 | 2.064mb | 5.000μs | ±1.20% | +| ValidatorBench | evaluate | CountryCode | 5 | 10 | 3.198mb | 1.600μs | ±0.00% | +| ValidatorBench | evaluate | Cpf | 5 | 10 | 2.064mb | 2.599μs | ±3.89% | +| ValidatorBench | evaluate | CreditCard | 5 | 10 | 2.064mb | 5.407μs | ±2.58% | | ValidatorBench | evaluate | CurrencyCode | 5 | 10 | 2.197mb | 1.400μs | ±0.00% | -| ValidatorBench | evaluate | Date | 5 | 10 | 2.064mb | 5.811μs | ±2.19% | -| ValidatorBench | evaluate | DateTime | 5 | 10 | 2.064mb | 3.200μs | ±2.81% | -| ValidatorBench | evaluate | DateTimeDiff | 5 | 10 | 2.065mb | 7.222μs | ±2.20% | -| ValidatorBench | evaluate | Decimal | 5 | 10 | 2.064mb | 1.800μs | ±0.00% | -| ValidatorBench | evaluate | Digit | 5 | 10 | 2.064mb | 1.200μs | ±0.00% | -| ValidatorBench | evaluate | Directory | 5 | 10 | 2.064mb | 1.200μs | ±0.00% | -| ValidatorBench | evaluate | Domain | 5 | 10 | 2.377mb | 25.699μs | ±1.03% | -| ValidatorBench | evaluate | Each | 5 | 10 | 2.064mb | 5.796μs | ±2.08% | -| ValidatorBench | evaluate | Email | 5 | 10 | 2.244mb | 23.476μs | ±1.74% | -| ValidatorBench | evaluate | Emoji | 5 | 10 | 2.064mb | 1.400μs | ±0.00% | -| ValidatorBench | evaluate | EndsWith | 5 | 10 | 2.064mb | 1.400μs | ±0.00% | -| ValidatorBench | evaluate | Equals | 5 | 10 | 2.064mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | Equivalent | 5 | 10 | 2.064mb | 1.800μs | ±0.00% | -| ValidatorBench | evaluate | Even | 5 | 10 | 2.064mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | Executable | 5 | 10 | 2.064mb | 1.800μs | ±0.00% | -| ValidatorBench | evaluate | Exists | 5 | 10 | 2.064mb | 1.800μs | ±0.00% | -| ValidatorBench | evaluate | Extension | 5 | 10 | 2.064mb | 1.200μs | ±0.00% | -| ValidatorBench | evaluate | Factor | 5 | 10 | 2.064mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | ShortCircuit | 5 | 10 | 2.064mb | 2.000μs | ±0.00% | -| ValidatorBench | evaluate | FalseVal | 5 | 10 | 2.064mb | 1.000μs | ±0.00% | +| ValidatorBench | evaluate | Date | 5 | 10 | 2.064mb | 6.557μs | ±2.28% | +| ValidatorBench | evaluate | DateTime | 5 | 10 | 2.064mb | 3.802μs | ±2.56% | +| ValidatorBench | evaluate | DateTimeDiff | 5 | 10 | 2.065mb | 8.200μs | ±1.11% | +| ValidatorBench | evaluate | Decimal | 5 | 10 | 2.064mb | 2.000μs | ±0.00% | +| ValidatorBench | evaluate | Digit | 5 | 10 | 2.064mb | 1.600μs | ±0.00% | +| ValidatorBench | evaluate | Directory | 5 | 10 | 2.064mb | 2.000μs | ±0.00% | +| ValidatorBench | evaluate | Domain | 5 | 10 | 2.377mb | 30.647μs | ±1.94% | +| ValidatorBench | evaluate | Each | 5 | 10 | 2.064mb | 6.778μs | ±2.38% | +| ValidatorBench | evaluate | Email | 5 | 10 | 2.244mb | 27.291μs | ±1.27% | +| ValidatorBench | evaluate | Emoji | 5 | 10 | 2.064mb | 1.600μs | ±0.00% | +| ValidatorBench | evaluate | EndsWith | 5 | 10 | 2.064mb | 1.800μs | ±0.00% | +| ValidatorBench | evaluate | Equals | 5 | 10 | 2.064mb | 1.200μs | ±0.00% | +| ValidatorBench | evaluate | Equivalent | 5 | 10 | 2.064mb | 2.000μs | ±0.00% | +| ValidatorBench | evaluate | Even | 5 | 10 | 2.064mb | 1.200μs | ±0.00% | +| ValidatorBench | evaluate | Executable | 5 | 10 | 2.064mb | 3.000μs | ±0.00% | +| ValidatorBench | evaluate | Exists | 5 | 10 | 2.064mb | 3.000μs | ±0.00% | +| ValidatorBench | evaluate | Extension | 5 | 10 | 2.064mb | 1.400μs | ±0.00% | +| ValidatorBench | evaluate | Factor | 5 | 10 | 2.064mb | 1.200μs | ±0.00% | +| ValidatorBench | evaluate | ShortCircuit | 5 | 10 | 2.064mb | 2.400μs | ±0.00% | +| ValidatorBench | evaluate | FalseVal | 5 | 10 | 2.064mb | 1.200μs | ±0.00% | | ValidatorBench | evaluate | Falsy | 5 | 10 | 2.064mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | File | 5 | 10 | 2.064mb | 1.400μs | ±0.00% | -| ValidatorBench | evaluate | Finite | 5 | 10 | 2.064mb | 1.000μs | ±0.00% | +| ValidatorBench | evaluate | File | 5 | 10 | 2.064mb | 2.000μs | ±0.00% | +| ValidatorBench | evaluate | Finite | 5 | 10 | 2.064mb | 1.200μs | ±0.00% | | ValidatorBench | evaluate | FloatType | 5 | 10 | 2.064mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | FloatVal | 5 | 10 | 2.064mb | 1.200μs | ±0.00% | -| ValidatorBench | evaluate | Format | 5 | 10 | 2.065mb | 3.801μs | ±2.53% | -| ValidatorBench | evaluate | Formatted | 5 | 10 | 2.065mb | 4.800μs | ±1.26% | -| ValidatorBench | evaluate | Graph | 5 | 10 | 2.064mb | 1.400μs | ±0.00% | -| ValidatorBench | evaluate | GreaterThan | 5 | 10 | 2.064mb | 1.200μs | ±0.00% | -| ValidatorBench | evaluate | GreaterThanOrEqual | 5 | 10 | 2.064mb | 1.200μs | ±0.00% | -| ValidatorBench | evaluate | Hetu | 5 | 10 | 2.064mb | 6.000μs | ±0.00% | +| ValidatorBench | evaluate | FloatVal | 5 | 10 | 2.064mb | 1.600μs | ±0.00% | +| ValidatorBench | evaluate | Format | 5 | 10 | 2.065mb | 4.001μs | ±2.40% | +| ValidatorBench | evaluate | Formatted | 5 | 10 | 2.065mb | 5.204μs | ±2.29% | +| ValidatorBench | evaluate | Graph | 5 | 10 | 2.064mb | 1.600μs | ±0.00% | +| ValidatorBench | evaluate | GreaterThan | 5 | 10 | 2.064mb | 1.600μs | ±0.00% | +| ValidatorBench | evaluate | GreaterThanOrEqual | 5 | 10 | 2.064mb | 1.800μs | ±0.00% | +| ValidatorBench | evaluate | Hetu | 5 | 10 | 2.064mb | 6.822μs | ±2.33% | | ValidatorBench | evaluate | HexRgbColor | 5 | 10 | 2.065mb | 2.000μs | ±0.00% | -| ValidatorBench | evaluate | Iban | 5 | 10 | 2.064mb | 3.002μs | ±3.23% | +| ValidatorBench | evaluate | Iban | 5 | 10 | 2.064mb | 3.600μs | ±2.50% | | ValidatorBench | evaluate | Identical | 5 | 10 | 2.064mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | Image | 5 | 10 | 9.849mb | 256.216μs | ±2.84% | -| ValidatorBench | evaluate | Imei | 5 | 10 | 2.064mb | 4.000μs | ±0.00% | -| ValidatorBench | evaluate | In | 5 | 10 | 2.064mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | Infinite | 5 | 10 | 2.064mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | Instance | 5 | 10 | 2.064mb | 1.000μs | ±0.00% | +| ValidatorBench | evaluate | Image | 5 | 10 | 9.849mb | 181.942μs | ±2.84% | +| ValidatorBench | evaluate | Imei | 5 | 10 | 2.064mb | 4.201μs | ±2.29% | +| ValidatorBench | evaluate | In | 5 | 10 | 2.064mb | 1.400μs | ±0.00% | +| ValidatorBench | evaluate | Infinite | 5 | 10 | 2.064mb | 1.200μs | ±0.00% | +| ValidatorBench | evaluate | Instance | 5 | 10 | 2.064mb | 1.200μs | ±0.00% | | ValidatorBench | evaluate | IntType | 5 | 10 | 2.064mb | 1.000μs | ±0.00% | | ValidatorBench | evaluate | IntVal | 5 | 10 | 2.064mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | Ip | 5 | 10 | 2.064mb | 1.400μs | ±0.00% | -| ValidatorBench | evaluate | Isbn | 5 | 10 | 2.064mb | 1.600μs | ±0.00% | +| ValidatorBench | evaluate | Ip | 5 | 10 | 2.064mb | 1.800μs | ±0.00% | +| ValidatorBench | evaluate | Isbn | 5 | 10 | 2.064mb | 1.800μs | ±0.00% | | ValidatorBench | evaluate | IterableType | 5 | 10 | 2.064mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | IterableVal | 5 | 10 | 2.064mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | Json | 5 | 10 | 2.064mb | 1.200μs | ±0.00% | -| ValidatorBench | evaluate | Key | 5 | 10 | 2.064mb | 3.000μs | ±0.00% | -| ValidatorBench | evaluate | KeyExists | 5 | 10 | 2.064mb | 2.000μs | ±0.00% | -| ValidatorBench | evaluate | KeyOptional | 5 | 10 | 2.064mb | 2.600μs | ±0.00% | -| ValidatorBench | evaluate | KeySet | 5 | 10 | 2.065mb | 6.000μs | ±1.54% | -| ValidatorBench | evaluate | LanguageCode | 5 | 10 | 9.277mb | 2.000μs | ±0.00% | -| ValidatorBench | evaluate | Factory | 5 | 10 | 2.064mb | 1.400μs | ±0.00% | -| ValidatorBench | evaluate | LeapDate | 5 | 10 | 2.064mb | 2.400μs | ±0.00% | -| ValidatorBench | evaluate | LeapYear | 5 | 10 | 2.064mb | 2.200μs | ±0.00% | -| ValidatorBench | evaluate | Length | 5 | 10 | 2.064mb | 3.600μs | ±0.00% | -| ValidatorBench | evaluate | LessThan | 5 | 10 | 2.064mb | 1.200μs | ±0.00% | -| ValidatorBench | evaluate | LessThanOrEqual | 5 | 10 | 2.064mb | 1.200μs | ±0.00% | -| ValidatorBench | evaluate | Lowercase | 5 | 10 | 2.064mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | Luhn | 5 | 10 | 2.064mb | 3.402μs | ±2.86% | -| ValidatorBench | evaluate | MacAddress | 5 | 10 | 2.064mb | 1.200μs | ±0.00% | -| ValidatorBench | evaluate | Max | 5 | 10 | 2.064mb | 4.600μs | ±2.02% | -| ValidatorBench | evaluate | Min | 5 | 10 | 2.064mb | 4.600μs | ±1.75% | -| ValidatorBench | evaluate | Mimetype | 5 | 10 | 9.851mb | 254.926μs | ±2.09% | -| ValidatorBench | evaluate | Multiple | 5 | 10 | 2.064mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | Named | 5 | 10 | 2.064mb | 1.800μs | ±0.00% | +| ValidatorBench | evaluate | IterableVal | 5 | 10 | 2.064mb | 1.200μs | ±0.00% | +| ValidatorBench | evaluate | Json | 5 | 10 | 2.064mb | 1.600μs | ±0.00% | +| ValidatorBench | evaluate | Key | 5 | 10 | 2.064mb | 3.202μs | ±3.03% | +| ValidatorBench | evaluate | KeyExists | 5 | 10 | 2.064mb | 2.200μs | ±0.00% | +| ValidatorBench | evaluate | KeyOptional | 5 | 10 | 2.064mb | 3.000μs | ±0.00% | +| ValidatorBench | evaluate | KeySet | 5 | 10 | 2.065mb | 6.786μs | ±2.40% | +| ValidatorBench | evaluate | LanguageCode | 5 | 10 | 9.277mb | 1.600μs | ±0.00% | +| ValidatorBench | evaluate | Factory | 5 | 10 | 2.064mb | 1.600μs | ±0.00% | +| ValidatorBench | evaluate | LeapDate | 5 | 10 | 2.064mb | 3.000μs | ±3.12% | +| ValidatorBench | evaluate | LeapYear | 5 | 10 | 2.064mb | 2.600μs | ±0.00% | +| ValidatorBench | evaluate | Length | 5 | 10 | 2.064mb | 4.000μs | ±1.98% | +| ValidatorBench | evaluate | LessThan | 5 | 10 | 2.064mb | 1.600μs | ±0.00% | +| ValidatorBench | evaluate | LessThanOrEqual | 5 | 10 | 2.064mb | 1.600μs | ±0.00% | +| ValidatorBench | evaluate | Lowercase | 5 | 10 | 2.064mb | 1.200μs | ±0.00% | +| ValidatorBench | evaluate | Luhn | 5 | 10 | 2.064mb | 4.000μs | ±2.33% | +| ValidatorBench | evaluate | MacAddress | 5 | 10 | 2.064mb | 1.400μs | ±0.00% | +| ValidatorBench | evaluate | Max | 5 | 10 | 2.064mb | 5.000μs | ±0.00% | +| ValidatorBench | evaluate | Min | 5 | 10 | 2.064mb | 5.000μs | ±1.59% | +| ValidatorBench | evaluate | Mimetype | 5 | 10 | 9.851mb | 173.233μs | ±1.89% | +| ValidatorBench | evaluate | Multiple | 5 | 10 | 2.064mb | 1.200μs | ±0.00% | +| ValidatorBench | evaluate | Named | 5 | 10 | 2.064mb | 2.000μs | ±0.00% | | ValidatorBench | evaluate | Negative | 5 | 10 | 2.064mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | NfeAccessKey | 5 | 10 | 2.064mb | 5.157μs | ±2.90% | -| ValidatorBench | evaluate | Nif | 5 | 10 | 2.064mb | 1.600μs | ±0.00% | -| ValidatorBench | evaluate | Nip | 5 | 10 | 2.064mb | 2.202μs | ±4.35% | -| ValidatorBench | evaluate | NoneOf | 5 | 10 | 2.064mb | 4.000μs | ±0.00% | -| ValidatorBench | evaluate | Not | 5 | 10 | 2.064mb | 2.002μs | ±4.76% | -| ValidatorBench | evaluate | NullOr | 5 | 10 | 2.064mb | 3.000μs | ±0.00% | -| ValidatorBench | evaluate | Number | 5 | 10 | 2.064mb | 1.000μs | ±0.00% | +| ValidatorBench | evaluate | NfeAccessKey | 5 | 10 | 2.064mb | 5.637μs | ±3.08% | +| ValidatorBench | evaluate | Nif | 5 | 10 | 2.064mb | 2.000μs | ±0.00% | +| ValidatorBench | evaluate | Nip | 5 | 10 | 2.064mb | 2.400μs | ±0.00% | +| ValidatorBench | evaluate | NoneOf | 5 | 10 | 2.064mb | 4.600μs | ±1.72% | +| ValidatorBench | evaluate | Not | 5 | 10 | 2.064mb | 2.400μs | ±0.00% | +| ValidatorBench | evaluate | NullOr | 5 | 10 | 2.064mb | 3.201μs | ±2.99% | +| ValidatorBench | evaluate | Number | 5 | 10 | 2.064mb | 1.200μs | ±0.00% | | ValidatorBench | evaluate | NullType | 5 | 10 | 2.064mb | 1.000μs | ±0.00% | | ValidatorBench | evaluate | NumericVal | 5 | 10 | 2.064mb | 1.000μs | ±0.00% | | ValidatorBench | evaluate | ObjectType | 5 | 10 | 2.064mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | Odd | 5 | 10 | 2.064mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | OneOf | 5 | 10 | 2.064mb | 4.000μs | ±2.02% | -| ValidatorBench | evaluate | Pesel | 5 | 10 | 2.064mb | 1.800μs | ±0.00% | -| ValidatorBench | evaluate | Phone | 5 | 10 | 3.265mb | 37.879μs | ±1.07% | -| ValidatorBench | evaluate | Pis | 5 | 10 | 2.064mb | 2.200μs | ±0.00% | -| ValidatorBench | evaluate | PolishIdCard | 5 | 10 | 2.064mb | 2.000μs | ±0.00% | -| ValidatorBench | evaluate | PortugueseNif | 5 | 10 | 2.064mb | 3.000μs | ±3.12% | +| ValidatorBench | evaluate | Odd | 5 | 10 | 2.064mb | 1.400μs | ±0.00% | +| ValidatorBench | evaluate | OneOf | 5 | 10 | 2.064mb | 4.799μs | ±2.08% | +| ValidatorBench | evaluate | Pesel | 5 | 10 | 2.064mb | 2.000μs | ±0.00% | +| ValidatorBench | evaluate | Phone | 5 | 10 | 3.265mb | 43.714μs | ±2.08% | +| ValidatorBench | evaluate | Pis | 5 | 10 | 2.064mb | 2.400μs | ±0.00% | +| ValidatorBench | evaluate | PolishIdCard | 5 | 10 | 2.064mb | 2.200μs | ±0.00% | +| ValidatorBench | evaluate | PortugueseNif | 5 | 10 | 2.064mb | 3.002μs | ±3.23% | | ValidatorBench | evaluate | Positive | 5 | 10 | 2.064mb | 1.000μs | ±0.00% | | ValidatorBench | evaluate | PostalCode | 5 | 10 | 2.065mb | 2.000μs | ±0.00% | -| ValidatorBench | evaluate | Printable | 5 | 10 | 2.064mb | 1.400μs | ±0.00% | -| ValidatorBench | evaluate | Property | 5 | 10 | 2.064mb | 3.800μs | ±1.59% | -| ValidatorBench | evaluate | PropertyExists | 5 | 10 | 2.064mb | 2.000μs | ±0.00% | -| ValidatorBench | evaluate | PropertyOptional | 5 | 10 | 2.080mb | 3.000μs | ±3.12% | -| ValidatorBench | evaluate | PublicDomainSuffix | 5 | 10 | 2.064mb | 3.000μs | ±0.00% | -| ValidatorBench | evaluate | Punct | 5 | 10 | 2.064mb | 1.200μs | ±0.00% | -| ValidatorBench | evaluate | Readable | 5 | 10 | 2.064mb | 1.800μs | ±0.00% | -| ValidatorBench | evaluate | Regex | 5 | 10 | 2.064mb | 1.200μs | ±0.00% | +| ValidatorBench | evaluate | Printable | 5 | 10 | 2.064mb | 1.600μs | ±0.00% | +| ValidatorBench | evaluate | Property | 5 | 10 | 2.064mb | 4.198μs | ±2.44% | +| ValidatorBench | evaluate | PropertyExists | 5 | 10 | 2.064mb | 2.400μs | ±0.00% | +| ValidatorBench | evaluate | PropertyOptional | 5 | 10 | 2.080mb | 3.400μs | ±2.38% | +| ValidatorBench | evaluate | PublicDomainSuffix | 5 | 10 | 2.064mb | 3.600μs | ±1.66% | +| ValidatorBench | evaluate | Punct | 5 | 10 | 2.064mb | 1.600μs | ±0.00% | +| ValidatorBench | evaluate | Readable | 5 | 10 | 2.064mb | 3.000μs | ±0.00% | +| ValidatorBench | evaluate | Regex | 5 | 10 | 2.064mb | 1.400μs | ±0.00% | | ValidatorBench | evaluate | ResourceType | 5 | 10 | 2.064mb | 1.000μs | ±0.00% | | ValidatorBench | evaluate | Roman | 5 | 10 | 2.065mb | 2.000μs | ±0.00% | -| ValidatorBench | evaluate | Satisfies | 5 | 10 | 2.064mb | 1.200μs | ±0.00% | +| ValidatorBench | evaluate | Satisfies | 5 | 10 | 2.064mb | 1.400μs | ±0.00% | | ValidatorBench | evaluate | ScalarVal | 5 | 10 | 2.064mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | Size | 5 | 10 | 2.066mb | 8.855μs | ±2.05% | -| ValidatorBench | evaluate | Slug | 5 | 10 | 2.064mb | 1.400μs | ±0.00% | -| ValidatorBench | evaluate | Sorted | 5 | 10 | 2.064mb | 1.400μs | ±0.00% | -| ValidatorBench | evaluate | Space | 5 | 10 | 2.064mb | 1.400μs | ±0.00% | +| ValidatorBench | evaluate | Size | 5 | 10 | 2.066mb | 10.200μs | ±0.00% | +| ValidatorBench | evaluate | Slug | 5 | 10 | 2.064mb | 1.600μs | ±0.00% | +| ValidatorBench | evaluate | Sorted | 5 | 10 | 2.064mb | 1.800μs | ±0.00% | +| ValidatorBench | evaluate | Space | 5 | 10 | 2.064mb | 1.600μs | ±0.00% | | ValidatorBench | evaluate | Spaced | 5 | 10 | 2.064mb | 1.200μs | ±0.00% | -| ValidatorBench | evaluate | StartsWith | 5 | 10 | 2.064mb | 1.400μs | ±0.00% | +| ValidatorBench | evaluate | StartsWith | 5 | 10 | 2.064mb | 1.600μs | ±0.00% | | ValidatorBench | evaluate | StringType | 5 | 10 | 2.064mb | 1.000μs | ±0.00% | | ValidatorBench | evaluate | StringVal | 5 | 10 | 2.064mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | SubdivisionCode | 5 | 10 | 6.966mb | 2.200μs | ±0.00% | -| ValidatorBench | evaluate | Subset | 5 | 10 | 2.064mb | 1.200μs | ±0.00% | -| ValidatorBench | evaluate | SymbolicLink | 5 | 10 | 2.064mb | 1.400μs | ±0.00% | -| ValidatorBench | evaluate | Templated | 5 | 10 | 2.064mb | 2.000μs | ±0.00% | -| ValidatorBench | evaluate | Time | 5 | 10 | 2.064mb | 4.000μs | ±2.26% | -| ValidatorBench | evaluate | Tld | 5 | 10 | 2.198mb | 4.000μs | ±2.33% | -| ValidatorBench | evaluate | Trimmed | 5 | 10 | 2.067mb | 11.843μs | ±1.26% | -| ValidatorBench | evaluate | TrueVal | 5 | 10 | 2.064mb | 1.000μs | ±0.00% | +| ValidatorBench | evaluate | SubdivisionCode | 5 | 10 | 6.966mb | 2.000μs | ±0.00% | +| ValidatorBench | evaluate | Subset | 5 | 10 | 2.064mb | 1.400μs | ±0.00% | +| ValidatorBench | evaluate | SymbolicLink | 5 | 10 | 2.064mb | 2.000μs | ±0.00% | +| ValidatorBench | evaluate | Templated | 5 | 10 | 2.064mb | 2.200μs | ±0.00% | +| ValidatorBench | evaluate | Time | 5 | 10 | 2.064mb | 4.598μs | ±2.22% | +| ValidatorBench | evaluate | Tld | 5 | 10 | 2.198mb | 4.199μs | ±2.38% | +| ValidatorBench | evaluate | Trimmed | 5 | 10 | 2.067mb | 14.055μs | ±1.30% | +| ValidatorBench | evaluate | TrueVal | 5 | 10 | 2.064mb | 1.200μs | ±0.00% | | ValidatorBench | evaluate | Undef | 5 | 10 | 2.064mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | UndefOr | 5 | 10 | 2.064mb | 3.000μs | ±0.00% | -| ValidatorBench | evaluate | Unique | 5 | 10 | 2.064mb | 1.200μs | ±0.00% | -| ValidatorBench | evaluate | Uppercase | 5 | 10 | 2.064mb | 1.000μs | ±0.00% | -| ValidatorBench | evaluate | Url | 5 | 10 | 2.511mb | 44.670μs | ±0.96% | -| ValidatorBench | evaluate | Uuid | 5 | 10 | 2.880mb | 7.400μs | ±2.09% | +| ValidatorBench | evaluate | UndefOr | 5 | 10 | 2.064mb | 3.402μs | ±2.86% | +| ValidatorBench | evaluate | Unique | 5 | 10 | 2.064mb | 1.400μs | ±0.00% | +| ValidatorBench | evaluate | Uppercase | 5 | 10 | 2.064mb | 1.200μs | ±0.00% | +| ValidatorBench | evaluate | Url | 5 | 10 | 2.511mb | 51.726μs | ±2.30% | +| ValidatorBench | evaluate | Uuid | 5 | 10 | 2.880mb | 7.591μs | ±2.18% | | ValidatorBench | evaluate | Version | 5 | 10 | 2.064mb | 1.200μs | ±0.00% | -| ValidatorBench | evaluate | Vowel | 5 | 10 | 2.064mb | 1.600μs | ±0.00% | -| ValidatorBench | evaluate | When | 5 | 10 | 2.064mb | 1.600μs | ±0.00% | -| ValidatorBench | evaluate | Writable | 5 | 10 | 2.064mb | 1.800μs | ±0.00% | -| ValidatorBench | evaluate | Xdigit | 5 | 10 | 2.064mb | 1.200μs | ±0.00% | -| PrefixBench | prefixTransformer | 0 | 100 | 10 | 2.064mb | 0.771μs | ±1.01% | -| PrefixBench | prefixTransformer | 1 | 100 | 10 | 2.064mb | 0.795μs | ±1.62% | -| PrefixBench | prefixTransformer | 2 | 100 | 10 | 2.064mb | 0.690μs | ±1.02% | +| ValidatorBench | evaluate | Vowel | 5 | 10 | 2.064mb | 1.800μs | ±0.00% | +| ValidatorBench | evaluate | When | 5 | 10 | 2.064mb | 1.800μs | ±0.00% | +| ValidatorBench | evaluate | Writable | 5 | 10 | 2.064mb | 3.000μs | ±0.00% | +| ValidatorBench | evaluate | Xdigit | 5 | 10 | 2.064mb | 1.600μs | ±0.00% | +| PrefixBench | prefixTransformer | 0 | 100 | 10 | 2.064mb | 0.820μs | ±1.45% | +| PrefixBench | prefixTransformer | 1 | 100 | 10 | 2.064mb | 0.833μs | ±1.17% | +| PrefixBench | prefixTransformer | 2 | 100 | 10 | 2.064mb | 0.736μs | ±1.76% | | PrefixBench | prefixTransformer | 3 | 100 | 10 | 2.064mb | 0.100μs | ±0.00% | -| PrefixBench | prefixTransformer | 4 | 100 | 10 | 2.064mb | 0.250μs | ±1.61% | -| CompositeValidatorsBench | isValidGrouped | allOf(10) | 50 | 5 | 2.725mb | 4.411μs | ±2.78% | -| CompositeValidatorsBench | isValidGrouped | oneOf(10) | 50 | 5 | 2.728mb | 4.819μs | ±0.72% | -| CompositeValidatorsBench | isValidGrouped | anyOf(10) | 50 | 5 | 2.724mb | 4.038μs | ±6.05% | -| CompositeValidatorsBench | isValidGrouped | noneOf(10) | 50 | 5 | 2.724mb | 3.597μs | ±0.45% | -| CompositeValidatorsBench | isValidGrouped | shortCircuit(10) | 50 | 5 | 2.715mb | 4.399μs | ±3.90% | -| CompositeValidatorsBench | isValidGrouped | allOf(100) | 50 | 5 | 2.769mb | 5.619μs | ±0.64% | -| CompositeValidatorsBench | isValidGrouped | oneOf(100) | 50 | 5 | 2.772mb | 6.004μs | ±2.31% | -| CompositeValidatorsBench | isValidGrouped | anyOf(100) | 50 | 5 | 2.768mb | 5.277μs | ±3.49% | -| CompositeValidatorsBench | isValidGrouped | noneOf(100) | 50 | 5 | 2.768mb | 4.799μs | ±2.87% | -| CompositeValidatorsBench | isValidGrouped | shortCircuit(100) | 50 | 5 | 2.759mb | 5.453μs | ±6.37% | -| CompositeValidatorsBench | isValidArrayBased | all(10) | 50 | 5 | 2.727mb | 11.505μs | ±1.80% | -| CompositeValidatorsBench | isValidArrayBased | each(10) | 50 | 5 | 2.729mb | 20.239μs | ±2.05% | -| CompositeValidatorsBench | isValidArrayBased | all(100) | 50 | 5 | 2.771mb | 73.798μs | ±0.66% | -| CompositeValidatorsBench | isValidArrayBased | each(100) | 50 | 5 | 2.773mb | 164.043μs | ±0.69% | -| CompositeValidatorsBench | isValidDomain | no dots | 50 | 5 | 2.882mb | 6.404μs | ±0.86% | -| CompositeValidatorsBench | isValidDomain | starts with "-" | 50 | 5 | 2.882mb | 6.406μs | ±2.39% | -| CompositeValidatorsBench | isValidDomain | ends with "-" | 50 | 5 | 2.882mb | 6.359μs | ±1.90% | -| CompositeValidatorsBench | isValidDomain | double "--" | 50 | 5 | 2.882mb | 6.677μs | ±5.56% | +| PrefixBench | prefixTransformer | 4 | 100 | 10 | 2.064mb | 0.250μs | ±1.93% | +| CompositeValidatorsBench | isValidGrouped | allOf(10) | 50 | 5 | 2.723mb | 4.706μs | ±5.97% | +| CompositeValidatorsBench | isValidGrouped | oneOf(10) | 50 | 5 | 2.725mb | 5.267μs | ±2.28% | +| CompositeValidatorsBench | isValidGrouped | anyOf(10) | 50 | 5 | 2.722mb | 4.377μs | ±4.49% | +| CompositeValidatorsBench | isValidGrouped | noneOf(10) | 50 | 5 | 2.722mb | 3.858μs | ±4.67% | +| CompositeValidatorsBench | isValidGrouped | shortCircuit(10) | 50 | 5 | 2.712mb | 4.781μs | ±4.90% | +| CompositeValidatorsBench | isValidGrouped | allOf(100) | 50 | 5 | 2.767mb | 5.955μs | ±1.82% | +| CompositeValidatorsBench | isValidGrouped | oneOf(100) | 50 | 5 | 2.769mb | 6.488μs | ±3.07% | +| CompositeValidatorsBench | isValidGrouped | anyOf(100) | 50 | 5 | 2.766mb | 5.617μs | ±4.13% | +| CompositeValidatorsBench | isValidGrouped | noneOf(100) | 50 | 5 | 2.766mb | 5.079μs | ±2.13% | +| CompositeValidatorsBench | isValidGrouped | shortCircuit(100) | 50 | 5 | 2.756mb | 6.141μs | ±2.73% | +| CompositeValidatorsBench | isValidArrayBased | all(10) | 50 | 5 | 2.725mb | 12.760μs | ±1.31% | +| CompositeValidatorsBench | isValidArrayBased | each(10) | 50 | 5 | 2.726mb | 22.376μs | ±1.57% | +| CompositeValidatorsBench | isValidArrayBased | all(100) | 50 | 5 | 2.769mb | 78.228μs | ±1.03% | +| CompositeValidatorsBench | isValidArrayBased | each(100) | 50 | 5 | 2.770mb | 179.218μs | ±0.57% | +| CompositeValidatorsBench | isValidDomain | no dots | 50 | 5 | 2.880mb | 6.879μs | ±2.15% | +| CompositeValidatorsBench | isValidDomain | starts with "-" | 50 | 5 | 2.880mb | 7.016μs | ±6.64% | +| CompositeValidatorsBench | isValidDomain | ends with "-" | 50 | 5 | 2.880mb | 7.091μs | ±7.06% | +| CompositeValidatorsBench | isValidDomain | double "--" | 50 | 5 | 2.880mb | 6.951μs | ±6.16% |