lookup

Very low cost hash function

白昼怎懂夜的黑 提交于 2019-11-30 02:26:06
I need a hash function for a Look Up table, so that if my values are from 0 to N, I need a hash function that give me a value from 0 to n, being n << N. Another piece of information is that I already know N in advance. I have been investigatinv about different low cost hash functions and I have found only this: h = z mod n range(z) - 0 to N, range(h) - 0 to n My hash function needs to be implemented in HW, so it needs to have a very low cost. Can anyone recommend any other formula or algorithm apart from that simple thing?. When I say HW I mean a truly implementation in HW, and not

Which is faster to find an item in a hashtable or in a sorted list?

泪湿孤枕 提交于 2019-11-30 01:39:50
Which is faster to find an item in a hashtable or in a sorted list? yves Baumes Algorithm complexity is a good thing to know, and hashtables are known to be O(1) while a sorted vector (in your case I guess it is better to use a sorted array than a list) will provide O(log n) access time. But you should know that complexity notation gives you the access time for N going to the infinite. That means that if you know that your data will keep growing , complexity notation gives you some hint on the algorithm to chose. When you know that your data will keep a rather low length: for instance having

What is the relationship between java:comp/env and java:global?

删除回忆录丶 提交于 2019-11-29 20:38:19
What is the relationship between java:comp/env and java:global (regarding 3.1 spec)? Seems like java:comp/env contains specific to EJB references. What means "specific" in this case? java:global is a namespace that's global for the entire application server, which includes other EAR modules (which are considered to be different applications). java:comp/env is a much smaller namespace. For the web module, it corresponds to all web components (servlets etc) which are all together considered to be a single 'component' for JNDI, but for EJB beans it's a namespace for a single bean, since every

Approximate lookup in R

强颜欢笑 提交于 2019-11-29 20:03:04
问题 I have the following lookup table: lkp <- data.frame( x=c(0,0.2,0.65,0.658,1.3,1.76,2.7), y=c(1,1,1,0.942,0.942, 0.92, 0.89) ) I would like to get the value of Y of a given X value. If the X value exists in the table then the exact Y of the table should be returned. If the X value does not exist, then the Y value should be returned as linear interpolation of the 2 nearest neighbors (only the 2 nearest neighbors). I would not like to fit a model to the overall data. for the above table for X=0

How can i combine multiple collection into one collection using with $lookup mongodb or nodejs mongodb?

拈花ヽ惹草 提交于 2019-11-29 18:52:27
i have below collections with document count division - 30, category - 248 productgroup - 1402 product - 60000 for example i given below data division { "divisionid": "1", "divisioncode": "0", "divisionname": "ELECTRONICS/HOME APPLIANCE", "divisionpoint": "2" }, { "divisionid": "2", "divisioncode": "1", "divisionname": "FOODS", "divisionpoint": "8" } category collection data's { "categoryid": "1", "divisionid": "1", "categorycode": "34", "categoryname": "AUDIO SYSTEM", "categorypoint": "Null" }, { "categoryid": "2", "divisionid": "1", "categorycode": "348", "categoryname": "DVD/VCD",

How do I convert a Dictionary to a Lookup? [duplicate]

浪尽此生 提交于 2019-11-29 17:38:53
问题 This question already has answers here : LINQ Convert Dictionary to Lookup (2 answers) Closed 5 years ago . I have a Dictionary that has a signature: Dictionary<int, List<string>> . I'd like to convert it to a Lookup with a signature: Lookup<int, string> . I tried: Lookup<int, string> loginGroups = mapADToRole.ToLookup(ad => ad.Value, ad => ad.Key); But that is not working so well. 回答1: You could use: var lookup = dictionary.SelectMany(p => p.Value .Select(x => new { p.Key, Value = x}))

Mongo $lookup filter using nested query [duplicate]

我们两清 提交于 2019-11-29 16:41:11
This question already has an answer here: How to use $lookup as INNER JOIN in MongoDB Aggregation? 1 answer I'm playing with mongoDB's $lookup function, specifically the pipeline syntax, to allow me to perform some more complex queries than the ORM I am using (Sails/Waterline) allows. A cut down version of my data looks like.... // 'job' collection { "id" : j1, "mediaID" : "ABC1234" }, { "id" : j2, "mediaID" : "DEF1234" }, { "id" : j3, "mediaID" : "FGH3456" } ..and.. // 'task' collection // j1 tasks { "id" : "t1", "job" : "j1", "taskName": "MOVE", "status" : "COMPLETE" }, { "id" : "t2", "job"

ssis lookup with derived columns?

三世轮回 提交于 2019-11-29 16:30:14
I just want to make sure i am doing this correctly. Derived columns: car truck Lookup (after derived column:) 1.Query: select * from dbo.store where A = ? and B = ?. 2.In column mapping/or advanced parameters I map car to A and truck to B. Correct? I ask this because I keep getting an OLE error. While I'm waiting to hear back on the error message, my assumption at this point is that you are using the lookup component incorrectly. Your query syntax presumes there will be a query executed for every row flowing through the component. The way the lookup component works with default configuration

EXCEL return range of values based on criteria

喜夏-厌秋 提交于 2019-11-29 13:02:05
I have a VBA function that I would like to pass a custom range of data (As opposed to a full table column range) only when certain criteria within that table is met. For example: Table_1 Table_2 A B C A B 1 Policy Data Status | 1 Policy Function -------------------------- | ------------------- 2 AA 25 approved | 2 AA [25, 35] 3 AA 19 unapproved | 3 BB [16] 4 BB 16 approved | 5 CC 27 approved | 6 CC 30 unapproved | 7 AA 35 approved In Table2, cell B2, I would like to return a range of all Data values from Table1 where Policy = AA and Status = approved . Subsequently, in cell B3 a range of

In R, What is the difference between df[“x”] and df$x

回眸只為那壹抹淺笑 提交于 2019-11-29 11:21:53
问题 Where can I find information on the differences between calling on a column within a data.frame via: df <- data.frame(x=1:20,y=letters[1:20],z=20:1) df$x df["x"] They both return the "same" results, but not necessarily in the same format. Another thing that I've noticed is that df$x returns a list. Whereas df["x"] returns a data.frame. EDIT: However, knowing which one to use in which situation has become a challenge. Is there a best practice here or does it really come down to knowing what