python lookup table

first time*/ -H= (D1+S1)%m; -D=D1; - while(Ht[h]) - { - /*resolve the second and subsequent conflicts*/ intemp=D; -D= (temp+ (7*key)%Ten+1)%m;/*calculate di (i=2,3.)*/ toH= (s1+d)%m; + } -ht[h]=key; the * } $ intSearchhash (intHt[],intkey)Panax Notoginseng { - /*find the key in the hash list, return the comparison number if found, otherwise return-1*/ the intd,s1,d1,h,temp,sum; +H=Hash (key); AS1=h;d1=s1;d=D1; the if(Ht[h]==key)return 1; + Else{ -H= (D1+S1)

$ }Panax Notoginsengh->elem[addr]=key; - } the //list Find keywords + intSearchhash (HashTable H,intKeyint*ADDR)//the key,addr you want to find represents the address of the key you are looking for A { theXaddr=hash (key);//lookup efficiency is directly 1 + while(h.elem[*addr]!=key) - { $*addr= (xaddr+1)%hashsize; $ if(h.elem[*addr]==nullkey| | Xaddr==hash (Key))//H.elem[*addr]==nullkey representative finds the last element, Xaddr==hash (k

PrincipleBinary search also known as binary lookup, the advantages are less than the number of comparisons, Find Fast, the average performance is good, the disadvantage is that the unknown origin table is ordered table, and insert delete difficult. Therefore, the binary lookup method is suitable for an ordered list tha

/* Set the keyword in the order table is incremented and orderly, the Sentinel is set at the edge of the index, the design algorithm to achieve a simple sequential lookup */ #include "stdio.h" #include "malloc.h" #define LIST_SIZE 20 typedef struct{ Charr[list_size]; Intlength; Length is the number of elements in the table }recordlist; Recordlist *sqlset () {//

, ProtonuM, tuple, L3proto, L4proto)) {pr_debug ("Resolve_normal_ct:can ' t get tuple\n"); return NULL; } #ifdef A cache = __get_cpu_var (Conntrack_cache); Rcu_read_lock (); if (0/* Optimization 3 */) {goto Slowpath; } for (i = 0; i Would like to see the people have the opportunity to test. Effects and questions can be sent directly to the mailbox shown in the code comment. Copyright NOTICE: This article for Bo Master original article, without Bo Master permission not reproduc

ages and: Select sum (sage) from student;Check the average age of all students:select AVG (SAGE) from student;Check the age of the oldest student : select Max (sage) from student;Check the age of the youngest student : select min (sage) from student;Statistics of Secondary Students:select COUNT (sname) from student;9. Group queriesYou can display the results of a query in groups according to a certain condition.Keyword:broup byGroup students according to gender :Selete * FROM student group by s

In the previous chapters, we used the relative position information of the elements in the dataset to improve the performance of the lookup algorithm.For example, you know that the list is ordered and you can find it using binary points. In this section we go farther and create a data structure that improves the lookup performance to O(1). Called Hash lookup. To

Tags: employee net center www. TPS WWW tab Blog ArtReprint Annotated Source: http://www.cnblogs.com/liangyongrui/p/8622593.htmlTop n Large elements in Mysql lookup tableIt's easy to write with a program, and you can use a heap to maintain it, but with SQL? Solution: Assuming that the field you want to compare is a, to find the top n rows, the answer is count (a line smaller than a) (that's a little bit around.) See an example to understand) Suppose th

#include 　　Find-Ordered table lookup