#acl All:read,write
= Results for Exercise Sheet 5 (q-Gram Index) =
Add your row to the table below, following the examples already there. In the first column, write your account name, or name1+name2 if you work in a group.

For each query, write down the total query time (''Time''), the number of needed PED computations (''#PED'') and the number of returned results (''#RES''). In the last two columns, give details about the provided PED module you are using (either ped_c or ped_python) and your local machine.

||<tablewidth="&quot" tableheight="&quot" tablestyle="100%&quot;;auto&quot"style="&quot;text-align:center&quot;" |2>'''Name''' ||||||<style="text-align:center">'''Query: the''' ||||||<style="text-align:center">'''Query: breib''' ||||||<style="text-align:center">'''Query: the BIG lebauski''' ||<style="text-align:center" |2>'''PED Module''' ||||<style="text-align:center" |2>'''Processor / RAM''' ||
||'''Time''' ||'''#PED''' ||'''#RES''' ||'''Time''' ||'''#PED''' ||'''#RES''' ||'''Time''' ||'''#PED''' ||'''#RES''' ||
||pb1042 || 478ms || 49910 || 49077 || 235ms || 27204 || 266 || 542ms || 2170 ||1 || ped_c || Intel Core i5-5 @ 2.00GHz, 32 GB RAM ||
||pb1042 || 1151ms || 49910 || 49077 || 1169ms || 27204 || 266 || 1094ms || 2170 ||1 || ped_python || Intel Core i5-5 @ 2.00GHz, 32 GB RAM ||
||sw540 || 233ms || 49910 || 49077 || 132ms || 27204 || 266 || 274ms || 2170 ||1 || ped_c || Intel Core i7-9750H @ 2.60GHz, 32 GB RAM ||
||fm213 || 723ms || 49910 || 49077 || 859ms || 27204 || 266 || 4033ms || 2170 ||1 || ped_c || Intel Core i5-4300U @ 1.90GHz, 8 GB RAM ||
|| jr74+tw246 || 439ms || 49910 || 49077 || 473ms || 27204 || 266 || 2035ms || 2170 || 1 || ped_c || Intel(R) Core i7-8565U @ 1.80GHz, 8 GB RAM (VM) ||
|| ak904 || 584ms || 49910 || 49077 || 362ms || 27204 || 266 || 791ms || 2170 || 1 || ped_c || 2.7 GHz Dual-Core Intel Core i5, 8 GB RAM ||