I'm writing a small simulation program in Scala. It is actor-based so I've created a file messages.scala that contains all of the messages that are valid in the system.
Outside of this, I have a management component, management.scala and a file that defines the nodes and links classes nodes.scala. Management and node files both import sim.messages._ and then management does import sim.nodes._ as it needs to be able to instantiate things from that file.
The problem comes with one message type Tick that is used by both management.scala and nodes.scala. Upon compiling the management component, I get:
error: reference to Tick is ambiguous;
it is imported twice in the same scope by
import sim.nodes._
and import sim.messages._
I tried removing the import of messages in the management component since they were apparently already imported in to this scope but then they couldn't find them anymore. Ideas?
Try
import sim.nodes._
import sim.nodes.{ Tick => NodesTick }
and/or
import sim.messages._
import sim.messages.{ Tick => MessagesTick }
Of course, you will have to rename the references to Tick with the right one.
Related
I'm trying to use the DeBerta model and I'm first trying to implement some of the code I found here (an example of how to use the model), just to make sure I have the right dependencies and know what imports I need. I'm working in Scala 2.4.0, Zeppelin 0.8.1. I've added "com.johnsnowlabs.nlp:spark-nlp-spark24_2.11:3.4.4" as a dependency, which I believe should give me spark-nlp 3.4.4. So far most of the imports I got from the sample code are working:
import com.johnsnowlabs.nlp.embeddings
import com.johnsnowlabs.nlp.annotator._
import com.johnsnowlabs.nlp.base._
import com.johnsnowlabs.nlp.training.CoNLL
import com.johnsnowlabs.nlp.util.io.ResourceHelper
import com.johnsnowlabs.util.Benchmark
import org.apache.spark.ml.Pipeline
import org.apache.spark.sql.functions.{col, explode, size}
Although two of the imports get errors
but I'm not sure I need these to load the model. But when I try to load
val embeddings = DeBertaEmbeddings.pretrained("deberta_v3_base", "en")
.setInputCols("sentence", "token")
.setOutputCol("embeddings")
.setMaxSentenceLength(512)
I get an error saying
java.lang.IllegalArgumentException: requirement failed: Can not find deberta_v3_base inside public/models to download. Please make sure the name and location are correct!
at scala.Predef$.require(Predef.scala:224)
at com.johnsnowlabs.nlp.pretrained.ResourceDownloader$.downloadResource(ResourceDownloader.scala:441)
at com.johnsnowlabs.nlp.pretrained.ResourceDownloader$.downloadModel(ResourceDownloader.scala:499)
at com.johnsnowlabs.nlp.pretrained.ResourceDownloader$.downloadModel(ResourceDownloader.scala:492)
at com.johnsnowlabs.nlp.HasPretrained$class.pretrained(HasPretrained.scala:44)
at com.johnsnowlabs.nlp.annotator.package$DeBertaEmbeddings$.com$johnsnowlabs$nlp$embeddings$ReadablePretrainedDeBertaModel$$super$pretrained(annotator.scala:532)
at com.johnsnowlabs.nlp.embeddings.ReadablePretrainedDeBertaModel$class.pretrained(DeBertaEmbeddings.scala:329)
at com.johnsnowlabs.nlp.annotator.package$DeBertaEmbeddings$.pretrained(annotator.scala:532)
at com.johnsnowlabs.nlp.annotator.package$DeBertaEmbeddings$.pretrained(annotator.scala:532)
at com.johnsnowlabs.nlp.HasPretrained$class.pretrained(HasPretrained.scala:47)
at com.johnsnowlabs.nlp.annotator.package$DeBertaEmbeddings$.com$johnsnowlabs$nlp$embeddings$ReadablePretrainedDeBertaModel$$super$pretrained(annotator.scala:532)
at com.johnsnowlabs.nlp.embeddings.ReadablePretrainedDeBertaModel$class.pretrained(DeBertaEmbeddings.scala:326)
at com.johnsnowlabs.nlp.annotator.package$DeBertaEmbeddings$.pretrained(annotator.scala:532)
... 51 elided
I've tried to go through the documentation on the DeBerta model, and from what I've seen I have adequate versions of scala and spark-nlp according to John Snow Labs models hub. I saw on this stackoverflow thread that I might need to put "_noncontrib" after my model name. I tried that even though it says I wouldn't need it after spark-nlp 2.4.0+. So now I'm pretty sure "deberta_v3_base" is the right name, but I'm not sure what the error means by the location being incorrect. Do I need to specify a location for the pretrained model per the config helper? Does anyone know what's going on here? I apologize if I've left anything out, I'm new to Zeppelin and spark-nlp. Thanks!
I can't import a file in Pycharm.
I use this code:
import useful_tools
This is the error:
Unused import statement, this inspection detects names that should resolve but don't. Due to dynamic dispatch and duck typing, this is possible in a limited but useful number of cases. Top level and class level items are supported better than instance items
The warning means you did not uses useful_tools in the code after the import. It will work in runtime, but it's useless if PyCharm is not mistaken of course. Please provide the whole script code, as it's hard to tell more.
I'm about to try implementing some IoC/DI framework in our application (thinking of Inversify, if there are any other recommendations) but we still have the problem of having to include the files for their Types. How do we get around this? We're using the latest version of TypeScript (2.3 as of writing this).
We have a lot of imports for various types, for example:
// Components
import {GuideTime} from '../components/guide-time/guide-time.component';
import {GuideNetwork} from '../components/guide-network/guide-network.component';
import {GuideDetail} from '../components/guide-detail/guide-detail.component';
import {Player} from '../components/player/player.component';
// Services
import {Keys, KeyService} from '../core/services/key.service';
import {GuideService} from '../core/services/guide/guide.service';
import {afterCSSUpdate} from '../core/services/utility.service';
import {DataService} from '../core/services/data/data.service';
Or just to get the type of something:
import {ITitle} from '../../models/title.interface';
import {IGuide} from '../../models/guide.interface';
Is there a way to consolidate these (preferably automatically, or globally)? I realize I can probably make a mytypes.ts file somewhere and then just import and export all the types from our application so there's a single, central file to import, but that introduces other problems (and a lot of work).
Thanks!
To make all of these global you would need to import them all to a single interface, and then import that interface wherever you need access to every type. Something similar to
import * as mainInterface from 'MainInterface'
Additionally, you could try importing for side effects only (which would give you access to the types), although this is not recommended in practice.
From the documentation:
Though not recommended practice, some modules set up some global state that can be used by other modules. These modules may not have any exports, or the consumer is not interested in any of their exports. To import these modules, use: import "./my-module.js";
EDIT Additionally, similar to the above single interface solution, you can put each of the types into the same namespace. You can spread a namespace across multiple files using this approach, which means you can just wrap each type in a main namespace.
namespace MainNamespace {
export class GuideTime {
...
}
...
}
Probably a basic mistake, but the cause is eluding me. I am trying to import a package, but I get an error saying it cannot be found or imported.
First I set the current directory to the parent directory of the package, and this does not work.
Second, the docs say that the parent folder of the package must be added to the matlab path. I tried this, and still no luck.
It is not due to using plot as the package name as I get the same error when trying to import analysis.
What I can do is to import using: import plot.* or import analyse.* and then go on to use the functions in the packages, but I want to use the namespaces (i.e. not use .*).
Edit
I'm having this problem on both versions I have installed: 2015b and 2016a.
The answer is that, somewhat counterintuitively, you don't need to call import at all. The docs state that
The parent of the top-level package folder must be on the MATLAB path.
Which is what your addpath(pwd) does and then state that (emphasis is mine):
All references to packages, functions, and classes in the package must
use the package name prefix, unless you import the package.
Meaning at this stage you should be able to call
analyse.testFunc
If you were to import analyse.testFunc you would then be able to call testFunc without prefacing it with the namespace but since you want to retain the namespace the answer is to not call import at all.
I have a class uses the following lines, it works fine in a Google App Engine project:
import javax.jdo.annotations.IdGeneratorStrategy;
import javax.jdo.annotations.IdentityType;
import javax.jdo.annotations.PersistenceCapable;
import javax.jdo.annotations.Persistent;
import javax.jdo.annotations.PrimaryKey;
But when I included this class in another project, it cause error :
package javax.jdo.annotations does not exist
What should I do to find javax.jdo.* ?
Add the JDO jar file to the class path.
The star notation for imports isn't working the way you think it does.
It's not recursive - it only applies the child classes in javax.jdo, not the child packages.
If you want all the classes in javax.jdo.annotations, you'll need to import javax.jdo.annotations.*, too.
I'd recommend not using the star notation. Better to type out the imports for every class individually. Use an IDE to help you. It's clearer for you and other programmers who come after you where those classes came from.