I am using ArangoDb 3.0.2.
I want to execute query similar to this method
executeQueryWithResultSet()
which used to work well in Arangodb 2.3.
What is alternative for this method for Arango 3.0.2 and what are its parameters?
This Official Java tutorial is still using the old method, which when I am trying with Arango 3.0.2 giving me error.
Thanks..!
You can use executeAqlQuery() which returns you CursorResult<T> or you can use executeDocumentQuery() which returns you DocumentCursor<T>.
Use executeDocumentQuery() only if your query returns you a document or a list of documents that extends DocumentEntity, otherwise use executeAqlQuery().
The Java tutorial is not up to date, but you can find the updated and correct sources for the tutorial here.
Related
Here is some python code that illustrates the problem:
from pyscipopt import Model
master = Model("master LP")
relax = master.relax()
This generates the error:
builtins.AttributeError: 'pyscipopt.scip.Model' object has no attribute 'relax'
These python statements are taken from SCIP documentation --- section Column generation method for the cutting stock problem.
Note, I am using Python 3.6.5 and pyscipopt 3.0.2
The relax method does not exist in PySCIPOpt.
What you link to is a book that, I think, was originally written for using Gurobi's python interface. The authors started translating it to use it with SCIP but this is not ready yet. Actually, you can even see it in the Todo at the beginning of the page you link to.
In any case, this is not the documentation of SCIP
Check the pyscipopt github page and if you have further problems/questions, please open an issue there
I am just curious, what is carbon, boron, argon which is used while describing versions of nodejs?
Actually Node.js provide code name for Long Term Support (LTS) versions.
It started from Argon (version 4.2.0 to 4.9.1). And then it went like Boron (6.9.0 to 6.16.0), Carbon(8.9.0 to 8.15.0) and Dubnium (10.13.0 to 10.15.0). Basically they name their LTS versions under Chemical elements.
Argon(Ar), Boron(B), Carbon(C) and Dubnium(Db).
They are the code names for the Nodejs versions (based on chemical names from the periodic table, names are taken alphabetically a, b, c ...), please check below link for more details,
https://nodejs.org/en/about/releases/
Now the second part,
Always try to use the stable and latest version (LTS) of Nodejs in production, currently, it is 12.18.3. But for experimenting you can go with the current version and play with new features.
With version 8+ you get async-await support of javascript in Nodejs
Don't bother with the previous version if you are starting new.
I don't know if I get your question right, but according to https://nodejs.org/en/blog/release/v8.9.0/, https://nodejs.org/en/blog/release/v6.9.0/, and https://nodejs.org/en/blog/release/v4.2.0/, these are the names of the releases.
I try to use automapper.collection but in the Mapper.Initialize method the AddCollectionMappers method is not recognized
I'm using .net 4.7, automapper 6.1.1, automapper.collection 3.1.1
Thank you.
enter image description here
Try adding using statement:
using AutoMapper.EquivalencyExpression;
Im gensims latest version, loading trained vectors from a file is done using KeyedVectors, and dosent requires instantiating a new Word2Vec object. But now my code is broken because I can't use the model.vector_size property. What is the alternative to that? I mean something better than just kv[kv.index2word[0]].size.
kv.vector_size still works; I'm using gensim 2.3.0, which is the latest as I write. (I am assuming kv is your KeyedVectors object.) It appears object properties are not documented on the API page, but auto-complete suggests it, and there is no deprecated warning or anything.
Your question helped me answer my own, which was how to get the number of words: len(kv.index2word)
I am trying to use Spark LuceneRDD with Record Linkage concept from the link.
I did all the steps mentioned in the link but I am getting the error
Error: No implicit view available for String => org.apache.lucene.document.Document
I tried by adding lucene jar for spark shell but I am still getting the same error.
Any help is appreciated.
Adding Lucene jars will not help you here. The problem is, that some functionality is using implicit features of Scala. What it means, it should be some mapping function that will transform String into Lucene document.
When I looked over github, I found one implicit thing that will do the conversion - https://github.com/zouzias/spark-lucenerdd/blob/master/src/main/scala/org/zouzias/spark/lucenerdd/package.scala
So, you just need to add import to your code, something like this:
import org.zouzias.spark.lucenerdd._
or even more precisely, if you just need only 1 conversation (could be not your case however)
import org.zouzias.spark.lucenerdd.stringToDocument