Can you try doing a "mvn clean"? Do you get any compilation failures?
Regards, Supun On Thu, May 12, 2016 at 7:48 PM, Misgana Negassi < [email protected]> wrote: > Hi Supun, > > Thank you for the supportive hangout session. > > I had one question I forgot to ask. > > When I was importing the carbon-ml as maven project to Eclipse I had this > error message. > * Multiple annotations found at this line:* > * - Plugin execution not covered by lifecycle configuration: > org.apache.felix:maven-scr-plugin:1.7.2:scr (execution: > generate-scr-scrdescriptor, phase: process-* > * classes)* > > > * - maven-remote-resources-plugin (goal "process") is ignored by m2e. *How > did you solve this problem if you have enountered it? > > Best, > Misgana > > > On 09.05.2016 06:12, Supun Sethunga wrote: > > Hi Misgana, > > I committed the code for reading a csv file. My next task will be sampling >> and starting to implement an ensemble method(Stacking). > > I went through the code. Would like to suggest a small thing. Most of the > Spark algorithms need JavaRDDs as the input for datasets. Hence reading > your file as a JavaRDD<LabeledPoint> is the better approach than reading it > as a list of labelled points. Please refer [1] and [2] for an example. > > - How to decide which models to use for an ensemble and which parameters? > > Type of Model/Algorithm has to be a user input. The parameters will > depend on the algorithm user picks. > > - Should the ensemble methods be implemented as a wrapper around the >> base-models? > > Yes. You can use the existing algorithms in WSO2 Machine Learner, as the > base-models. (I have shared that in my previous mail) > > >> - Which library to use for matrix operations? Is Apache >> commons.math.Linearalgebra ok? > > Yes Apache commons.math.* would be fine. Infact you can use any library > with open-source licence. > > > What do you think about a hangout session to clarify stuff and get to know >> each other.:) > > Of course! Please arrange some time slot (Hope it will be IST time zone: > GMT+5.30 friendly :) ) and send me a calendar invite. > > > [1] > https://github.com/wso2/carbon-ml/blob/master/components/ml/org.wso2.carbon.ml.core/src/main/java/org/wso2/carbon/ml/core/utils/MLUtils.java#L58 > [2] > https://github.com/wso2/carbon-ml/blob/master/components/ml/org.wso2.carbon.ml.core/src/main/java/org/wso2/carbon/ml/core/spark/algorithms/SupervisedSparkModelBuilder.java#L87 > > Regards, > Supun > > On Sat, May 7, 2016 at 8:46 PM, Misgana Negassi < > [email protected]> wrote: > >> >> Hi Supun, >> I committed the code for reading a csv file. My next task will be >> sampling and starting to implement an ensemble method(Stacking). >> I have some questions about: >> - How to decide which models to use for an ensemble and which >> parameters? >> - Should the ensemble methods be implemented as a wrapper around the >> base-models? >> - Which library to use for matrix operations? Is Apache >> commons.math.Linearalgebra ok? >> >> What do you think about a hangout session to clarify stuff and get to >> know each other.:) >> >> Have a nice weekend! >> Misgana >> >> >> On 05.05.2016 19:59, Misgana Negassi wrote: >> >> Hi Supun, >> Thank you for the detailed explanation. >> >> I switched to intelliJ IDEA as an IDE with Ubuntu 14.04. The import >> errors are resolved after the project was imported as maven project. This >> took a while because of persistent pom.xml errors -- I am still in the >> process of reading about maven, Spark, REST and the carbon-Architecture. >> I have created an independent maven-project[1] for the implementation of >> the ensemble-methods. Currently I am writing code for reading a CSV file >> using the Apache library and converting it into Java RDD. I will commit >> once I am done with it. >> >> >> >> Regards, >> Misgana >> >> >> [1]https://github.com/zemoel/ensemble-methods >> >> >> On 04.05.2016 06:33, Supun Sethunga wrote: >> >> Hi Misgana, >> >> Seems you have misunderstood the "carbon" architecture. Let me explain >> it. *carbon-ml* repo contains the source code of the osgi bundles (i.e: >> jar libraries) which contain actual implementation/logic (such as, the >> implementation of importing datasets, creating projects, building models, >> and etc). Hence, these are similar to any other third-party library, which >> you have to invoke using their APIs. (They don't have main classes, they >> have APIs). This repo also contains a REST API, which exposes the >> above-mentioned APIs as a RESTful service. It also includes the source code >> for the UI, which invokes those REST APIs, behalf of the user. Please refer >> [1] to get the overall idea. >> Whereas, *product-ml* repo contains the source code, which collects the >> necessary libraries (such as the libraries of carbon-ml, REST API, UI) and >> bundles it all together, to create the final binary distribution. >> >> *carbon-ml* already contains the implementations of number of algorithms >> [2]. Your ultimate goal is to add three more such implementations to >> that repo (i.e: the three ensemble methods). In doing so, you don't need to >> re-implement the logics of importing datasets, creating projects and etc.. >> As those have already been implemented and you can use those methods from >> their APIs. (Please refer any of the current algorithms to get an idea..). >> >> But, since it can be difficult to implement the ensemble logic and >> integrate it to carbon-ml repo, *at the same time*, We recommend you to >> *first >> implement your logic in a separate java client.* This has to be an >> independent maven project. The whole purpose of this java client is to >> implement your logic independently and test its functionality and accuracy. >> You can use native spark ml-lib libraries for this. In the java client, >> following steps needed to be done: >> >> - Read the CSV file. >> - Do the sampling as needed. (train set and test set) >> - Train an ensemble model using the train set. >> - Do prediction on the test set and evaluate the accuracy. >> >> (Do not worry about the project concept at this point) >> >> Once you are satisfied with the results, then you can integrate that >> logic to the carbon-ml repo (to [2]). >> >> Please push whatever the code you write with respect to this java client >> to GIT, and share it with us too. >> >> Importing classes e.g " import >> org.wso2.carbon.ml.core.interfaces.MLModelBuilder" >>> doesn't resolve. I tried to solve issue by clean project, or adding the >>> project to the Spark build_path with no success. >> >> Did you get this when you try to import carbon-ml to eclipse? Did you >> import it as a maven project? >> >> >> In another topic: >>> I downloaded the machine learner(binary) following the instructions. >>> After logging in with admin, I didn't get the interface as it is explained >>> in the >>> "Building Your First Predictive Model with WSO2 Machine Learner" >>> tutorial. >> >> Can you please share a screenshot of what you get once you login? Do you >> see any errors in the console? if so can you please share that too? >> >> Hope I have answered all your questions. >> >> [1] <https://docs.wso2.com/display/ML110/Architecture> >> https://docs.wso2.com/display/ML110/Architecture >> [2] >> <https://github.com/wso2/carbon-ml/tree/master/components/ml/org.wso2.carbon.ml.core/src/main/java/org/wso2/carbon/ml/core/spark/algorithms> >> https://github.com/wso2/carbon-ml/tree/master/components/ml/org.wso2.carbon.ml.core/src/main/java/org/wso2/carbon/ml/core/spark/algorithms >> >> Regards, >> Supun >> >> On Tue, May 3, 2016 at 9:08 PM, Misgana Negassi < >> <[email protected]>[email protected]> wrote: >> >>> Hi Supun, >>> >>> I did "maven clean install" and downloaded the product-ml source code as >>> well. >>> >>> My understanding of this workflow is that I create a new project for >>> reading csv file and import an ensemble model which was built with >>> Spark(e.g Random Forest) and and also import the >>> SupervisedSparkModelBuilder.(am I right?) >>> I did this steps and currently am trying to solve issue with: >>> - Importing classes e.g " import >>> org.wso2.carbon.ml.core.interfaces.MLModelBuilder" doesn't resolve. I >>> tried to solve issue by clean project, or adding the project to the Spark >>> build_path with no success. >>> - Should i create my Standalone project as maven project or normal java >>> project? inside core or as an independent project? >>> - I couldn't find a main class where I run and see the output of models? >>> >>> In another topic: >>> I downloaded the machine learner(binary) following the instructions. >>> After logging in with admin, I didn't get the interface as it is explained >>> in the >>> "Building Your First Predictive Model with WSO2 Machine Learner" >>> tutorial. >>> >>> >>> My apologies for asking so many questions. It has been a while since i >>> worked with Eclipse and Java. >>> >>> Best, >>> Misgana >>> >>> >>> >>> >>> On 03.05.2016 06:28, Supun Sethunga wrote: >>> >>> Hi Misgana, >>> >>> Any update on the progress? >>> >>> Regards, >>> >>> On Thu, Apr 28, 2016 at 7:10 PM, Supun Sethunga < <[email protected]> >>> [email protected]> wrote: >>> >>>> Hi Misgana, >>>> >>>> Please find the answers inline. >>>> >>>> 1. Do I need only to work with carbon-ml repo or should the whole >>>>> kernel be installed? >>>> >>>> Don't need to build the kernal. Building carbon-ml [1] and then >>>> product-ml [2] would be enough. >>>> >>>> The Build from source Documentation site varies from what i have >>>>> setup(uses svn, downloads whole kernel). Should i follow this? >>>> >>>> Just download the source-code ([1] and [2]), and execute a "maven clean >>>> install" from the source directory. As I mentioned earlier, no need to >>>> download or build the Carbon Kernal. >>>> >>>> Could you suggest on how to setup my dev environment? Currently I >>>>> installed Spark, converted my project to a maven project. But maven seems >>>>> not to properly compile. >>>> >>>> No need to install spark. Spark is only used as an external library >>>> (jars). If you are using Eclipse/IntelliJ IDEA, import the source-code as a >>>> maven project. IDE will automatically resolve the dependencies. >>>> >>>> I implemented Gradientboosted to core/spark/Algorithms. >>>> >>>> What's the purpose of implementing Gradientboosted? >>>> >>>> Next step would be to modify *SupervisedSparkModelBuilder.* >>>> >>>> I think it would be easier for you to first (after finished with the >>>> above steps) write a simple standalone java client, which reads a simple >>>> dataset (a csv file) and build the ensemble model with Spark. Then you can >>>> integrate that logic to the SupervisedSparkModelBuilder, and >>>> eventually to the model-building workflow of WSO2 ML. >>>> >>>> [1] <https://github.com/wso2/carbon-ml> >>>> https://github.com/wso2/carbon-ml >>>> [2] <https://github.com/wso2/product-ml> >>>> https://github.com/wso2/product-ml >>>> [3] <https://docs.wso2.com/display/ML110/Building+from+Source> >>>> https://docs.wso2.com/display/ML110/Building+from+Source >>>> >>>> Regards, >>>> Supun >>>> >>>> >>>> On Thu, Apr 28, 2016 at 5:22 PM, misgana < <[email protected]> >>>> [email protected]> wrote: >>>> >>>>> Hi Supun, >>>>> >>>>> My current workflow looks like this: >>>>> 1. Fork and clone carbon-ml repo form github -- DONE >>>>> 2. Setup Dev environment -- IN PROGRESS >>>>> 3. Integrate GradientBoosted tree algorithm to carbon-ml -- IN >>>>> PROGRESS >>>>> >>>>> Issues: >>>>> 1. Do I need only to work with carbon-ml repo or should the whole >>>>> kernel be installed? >>>>> 2. The Build from source Documentation site varies from what i have >>>>> setup(uses svn, downloads whole kernel). Should i follow this? >>>>> 3.Could you suggest on how to setup my dev environment? Currently I >>>>> installed Spark, converted my project to a maven project. But maven seems >>>>> not to properly compile. >>>>> 4. I implemented Gradientboosted to core/spark/Algorithms. Next step >>>>> would be to modify >>>>> *SupervisedSparkModelBuilder. 5. *Here I would check how this would >>>>> be integrated in the whole framework and test on Iris dataset.(On this I >>>>> need to do some reading) >>>>> >>>>> I would very appreciate your guidance on this plan/work in progress. >>>>> >>>>> Best, >>>>> Misgana >>>>> >>>>> >>>>> >>>>> On 26.04.2016 09:26, Misgana Negassi wrote: >>>>> >>>>> Hi Supun, >>>>> I have forked carbon-ml to my repo[1] and currently I am familiarizing >>>>> myself with the code and software architecture. I will make commits after >>>>> trying out with a new algorithm. >>>>> >>>>> [1] <https://github.com/zemoel/carbon-ml> >>>>> https://github.com/zemoel/carbon-ml >>>>> >>>>> On 26.04.2016 06:47, Supun Sethunga wrote: >>>>> >>>>> Hi Misgana, >>>>> >>>>> As you progress, please keep us posted too. It would be nice if you >>>>> can share your code as well (Github project). You can take a fork of repo >>>>> [1], and start working on your fork. >>>>> >>>>> [1] <https://github.com/wso2/carbon-ml> >>>>> https://github.com/wso2/carbon-ml >>>>> >>>>> On Mon, Apr 25, 2016 at 7:57 PM, Misgana Negassi < >>>>> <[email protected]>[email protected]> wrote: >>>>> >>>>>> Hi Supun, >>>>>> >>>>>> Thank you for accepting me for this project!I am excited to work on >>>>>> it and start right away with the links you sent. >>>>>> >>>>>> Best, >>>>>> Misgana >>>>>> >>>>>> >>>>>> >>>>>> On 25.04.2016 12:06, Supun Sethunga wrote: >>>>>> >>>>>> Hi Misgana, >>>>>> >>>>>> Congratulations for getting accepted for the gsoc 2016! Hope you are >>>>>> ready to get started with the project. >>>>>> >>>>>> To get more familiarized with the code, I'm sharing the >>>>>> implementations of the current algorithms [1]. For your ensemble method, >>>>>> you need to add three more cases (for the three types of ensembles) for >>>>>> the >>>>>> method [2]. You may try out adding a new algorithm to he existing >>>>>> flow, and see how it works. Please feel free to raise any >>>>>> questions/issues you come across. >>>>>> >>>>>> [1] >>>>>> https://github.com/wso2/carbon-ml/tree/master/components/ml/org.wso2.carbon.ml.core/src/main/java/org/wso2/carbon/ml/core/spark/algorithms >>>>>> [2] >>>>>> <https://github.com/wso2/carbon-ml/blob/master/components/ml/org.wso2.carbon.ml.core/src/main/java/org/wso2/carbon/ml/core/spark/algorithms/SupervisedSparkModelBuilder.java#L101> >>>>>> https://github.com/wso2/carbon-ml/blob/master/components/ml/org.wso2.carbon.ml.core/src/main/java/org/wso2/carbon/ml/core/spark/algorithms/SupervisedSparkModelBuilder.java#L101 >>>>>> >>>>>> Regards, >>>>>> Supun >>>>>> >>>>>> On Thu, Mar 24, 2016 at 9:31 PM, Misgana Negassi < >>>>>> <[email protected]>[email protected]> wrote: >>>>>> >>>>>>> Hi Supun, >>>>>>> >>>>>>> Thank you for your support and advice in this proposal process! >>>>>>> >>>>>>> In the case you are interested, I am attaching my report paper with >>>>>>> contains my work with ensemble methods particularly Stacking. >>>>>>> >>>>>>> Best, >>>>>>> Misgana >>>>>>> >>>>>>> >>>>>>> On 24.03.2016 04:12, Supun Sethunga wrote: >>>>>>> >>>>>>> Looks good! Please go ahead and submit to GSoC. >>>>>>> >>>>>>> Thanks, >>>>>>> Supun >>>>>>> >>>>>>> On Thu, Mar 24, 2016 at 4:02 AM, Misgana Negassi < >>>>>>> <[email protected]>[email protected]> wrote: >>>>>>> >>>>>>>> Hi Supun, >>>>>>>> >>>>>>>> I have added the changes you recommended. Could you kindly give me >>>>>>>> a feedback? >>>>>>>> >>>>>>>> Best, >>>>>>>> Misgana >>>>>>>> >>>>>>>> On 23.03.2016 15:04, Supun Sethunga wrote: >>>>>>>> >>>>>>>> Hi Misgana, >>>>>>>> >>>>>>>> I went through your proposal. Overall it looks good. Here are a few >>>>>>>> comments I would like to point out: >>>>>>>> >>>>>>>> - Its better to have some sort of an architecture diagram, >>>>>>>> explaining your solution in a higher level. >>>>>>>> - In the timeline, better to break down the "Week 13 (May 23 >>>>>>>> June 20, 2016)" into three sub-levels, and allocate timeslots for >>>>>>>> each of >>>>>>>> the three methods (Stacking, Boosting and Bagging) separately. That >>>>>>>> would >>>>>>>> make it easy for you to work on those methods separately, as well >>>>>>>> as to >>>>>>>> track the progress. >>>>>>>> - In the timeline, can you double check the "week" numbers..? >>>>>>>> for eg; in [*Week 1-3 (May 23 June 20, 2016*], I guess it >>>>>>>> should be "*Week 1-4*" (there are four weeks in the mentioned >>>>>>>> duration). Similarly, check the others too. >>>>>>>> >>>>>>>> Please share us the draft proposal once you fix those. >>>>>>>> >>>>>>>> Thanks, >>>>>>>> Supun >>>>>>>> >>>>>>>> On Wed, Mar 23, 2016 at 7:17 PM, Misgana Negassi < >>>>>>>> <[email protected]>[email protected]> wrote: >>>>>>>> >>>>>>>>> Hi Supun, >>>>>>>>> >>>>>>>>> I am attaching my proposal draft. I am very grateful for your >>>>>>>>> comments. >>>>>>>>> >>>>>>>>> Thanks, >>>>>>>>> Misgana >>>>>>>>> >>>>>>>>> >>>>>>>>> On 23.03.2016 04:54, Supun Sethunga wrote: >>>>>>>>> >>>>>>>>> Hi Misgana, >>>>>>>>> >>>>>>>>> As we have mentioned in the project proposal as well, the main >>>>>>>>> objective is to integrate ensemble support for the existing flow of >>>>>>>>> the >>>>>>>>> WSO2 Machine Learner. We are focusing on the three methods: Bagging, >>>>>>>>> Boosting and Stacking. (On technique per each of these methods) >>>>>>>>> >>>>>>>>> If you haven't tried out already, you can get to know the Machine >>>>>>>>> Learner product by downloading it and running it (Please use link [1] >>>>>>>>> to >>>>>>>>> download). Official documentation [2] and blog [3] will help you on >>>>>>>>> how to >>>>>>>>> use the product. You can also go through the source code of WSO2 >>>>>>>>> ML ([4] and [5]), and get familiarized with the current >>>>>>>>> implementations. >>>>>>>>> >>>>>>>>> Meantime, as Nirmal mentioned, can you please send us the draft of >>>>>>>>> the proposal so that we can review it and give you a feedback? >>>>>>>>> >>>>>>>>> [1] <http://wso2.com/products/machine-learner/> >>>>>>>>> http://wso2.com/products/machine-learner/ >>>>>>>>> [2] >>>>>>>>> <https://docs.wso2.com/display/ML100/Introducing+Machine+Learner> >>>>>>>>> https://docs.wso2.com/display/ML100/Introducing+Machine+Learner >>>>>>>>> [3] >>>>>>>>> <http://supunsetunga.blogspot.com/2015/09/building-your-first-predictive-model.html> >>>>>>>>> http://supunsetunga.blogspot.com/2015/09/building-your-first-predictive-model.html >>>>>>>>> [4] <https://github.com/wso2/carbon-ml> >>>>>>>>> https://github.com/wso2/carbon-ml >>>>>>>>> [5] <https://github.com/wso2/product-ml> >>>>>>>>> https://github.com/wso2/product-ml >>>>>>>>> >>>>>>>>> Thanks, >>>>>>>>> Supun >>>>>>>>> >>>>>>>>> On Wed, Mar 23, 2016 at 7:20 AM, Nirmal Fernando < >>>>>>>>> <[email protected]>[email protected]> wrote: >>>>>>>>> >>>>>>>>>> Thanks, Misgana for your interest in a WSO2 ML GSoC project. >>>>>>>>>> Whilst I let Supun give you some more information on the project, I >>>>>>>>>> encourage you to create a draft proposal and send us for review. >>>>>>>>>> >>>>>>>>>> On Wed, Mar 23, 2016 at 2:58 AM, Misgana Negassi < >>>>>>>>>> <[email protected]>[email protected]> wrote: >>>>>>>>>> >>>>>>>>>>> Hallo! >>>>>>>>>>> >>>>>>>>>>> I am Misgana, hailing from Freiburg, Germany and I am interested >>>>>>>>>>> in working with you on the Ensemble methods . I have already >>>>>>>>>>> implemented >>>>>>>>>>> Stacking in python(code available in github/zemoel) and compared it >>>>>>>>>>> to >>>>>>>>>>> other ensemble methods such as Ensemble Selection on AUC performance >>>>>>>>>>> measures. The comparison also included using above mentioned >>>>>>>>>>> methods as >>>>>>>>>>> part of an automated machine learning platform(Autosklearn). >>>>>>>>>>> >>>>>>>>>>> I am currently working on my proposal and would be grateful for >>>>>>>>>>> your reply. >>>>>>>>>>> >>>>>>>>>>> Misgana >>>>>>>>>>> >>>>>>>>>> >>>>>>>>>> >>>>>>>>>> >>>>>>>>>> -- >>>>>>>>>> >>>>>>>>>> Thanks & regards, >>>>>>>>>> Nirmal >>>>>>>>>> >>>>>>>>>> Team Lead - WSO2 Machine Learner >>>>>>>>>> Associate Technical Lead - Data Technologies Team, WSO2 Inc. >>>>>>>>>> Mobile: +94715779733 >>>>>>>>>> Blog: <http://nirmalfdo.blogspot.com/> >>>>>>>>>> http://nirmalfdo.blogspot.com/ >>>>>>>>>> >>>>>>>>>> >>>>>>>>>> >>>>>>>>> >>>>>>>>> >>>>>>>>> -- >>>>>>>>> *Supun Sethunga* >>>>>>>>> Software Engineer >>>>>>>>> WSO2, Inc. >>>>>>>>> <http://wso2.com/>http://wso2.com/ >>>>>>>>> lean | enterprise | middleware >>>>>>>>> Mobile : +94 716546324 <%2B94%20716546324> >>>>>>>>> >>>>>>>>> >>>>>>>>> >>>>>>>> >>>>>>>> >>>>>>>> -- >>>>>>>> *Supun Sethunga* >>>>>>>> Software Engineer >>>>>>>> WSO2, Inc. >>>>>>>> <http://wso2.com/>http://wso2.com/ >>>>>>>> lean | enterprise | middleware >>>>>>>> Mobile : +94 716546324 <%2B94%20716546324> >>>>>>>> >>>>>>>> >>>>>>>> >>>>>>> >>>>>>> >>>>>>> -- >>>>>>> *Supun Sethunga* >>>>>>> Software Engineer >>>>>>> WSO2, Inc. >>>>>>> <http://wso2.com/>http://wso2.com/ >>>>>>> lean | enterprise | middleware >>>>>>> Mobile : +94 716546324 <%2B94%20716546324> >>>>>>> >>>>>>> >>>>>>> >>>>>> >>>>>> >>>>>> -- >>>>>> *Supun Sethunga* >>>>>> Software Engineer >>>>>> WSO2, Inc. >>>>>> <http://wso2.com/>http://wso2.com/ >>>>>> lean | enterprise | middleware >>>>>> Mobile : +94 716546324 <%2B94%20716546324> >>>>>> >>>>>> >>>>>> >>>>> >>>>> >>>>> -- >>>>> *Supun Sethunga* >>>>> Software Engineer >>>>> WSO2, Inc. >>>>> <http://wso2.com/>http://wso2.com/ >>>>> lean | enterprise | middleware >>>>> Mobile : +94 716546324 <%2B94%20716546324> >>>>> >>>>> >>>>> >>>>> >>>> >>>> >>>> -- >>>> *Supun Sethunga* >>>> Software Engineer >>>> WSO2, Inc. >>>> <http://wso2.com/>http://wso2.com/ >>>> lean | enterprise | middleware >>>> Mobile : +94 716546324 <%2B94%20716546324> >>>> >>> >>> >>> >>> -- >>> *Supun Sethunga* >>> Software Engineer >>> WSO2, Inc. >>> <http://wso2.com/>http://wso2.com/ >>> lean | enterprise | middleware >>> Mobile : +94 716546324 <%2B94%20716546324> >>> >>> >>> >> >> >> -- >> *Supun Sethunga* >> Software Engineer >> WSO2, Inc. >> <http://wso2.com/>http://wso2.com/ >> lean | enterprise | middleware >> Mobile : +94 716546324 <%2B94%20716546324> >> >> >> >> > > > -- > *Supun Sethunga* > Software Engineer > WSO2, Inc. > <http://wso2.com/>http://wso2.com/ > lean | enterprise | middleware > Mobile : +94 716546324 > > > -- *Supun Sethunga* Software Engineer WSO2, Inc. http://wso2.com/ lean | enterprise | middleware Mobile : +94 716546324
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