workers | A library for comfortable use of Web Workers API in Angular | Key Value Database library

 by   ng-web-apis TypeScript Version: v1.0.2 License: MIT

kandi X-RAY | workers Summary

kandi X-RAY | workers Summary

workers is a TypeScript library typically used in Database, Key Value Database, Angular applications. workers has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Part of Web APIs for Angular. This is a library for comfortable use of Web Workers API with Angular.
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              workers has a low active ecosystem.
              It has 44 star(s) with 3 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 1 open issues and 0 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of workers is v1.0.2

            kandi-Quality Quality

              workers has no bugs reported.

            kandi-Security Security

              workers has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              workers is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              workers releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.

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            workers Key Features

            No Key Features are available at this moment for workers.

            workers Examples and Code Snippets

            No Code Snippets are available at this moment for workers.

            Community Discussions

            QUESTION

            Multiple requests causing program to crash (using BeautifulSoup)
            Asked 2021-Jun-15 at 19:45

            I am writing a program in python to have a user input multiple websites then request and scrape those websites for their titles and output it. However, when the program surpasses 8 websites the program crashes every time. I am not sure if it is a memory problem, but I have been looking all over and can't find any one who has had the same problem. The code is below (I added 9 lists so all you have to do is copy and paste the code to see the issue).

            ...

            ANSWER

            Answered 2021-Jun-15 at 19:45

            To avoid the page from crashing, add the user-agent header to the headers= parameter in requests.get(), otherwise, the page thinks that your a bot and will block you.

            Source https://stackoverflow.com/questions/67992444

            QUESTION

            How to thread a generator
            Asked 2021-Jun-15 at 16:02

            I have a generator object, that loads quite big amount of data and hogs the I/O of the system. The data is too big to fit into memory all at once, hence the use of generator. And I have a consumer that all of the CPU to process the data yielded by generator. It does not consume much of other resources. Is it possible to interleave these tasks using threads?

            For example I'd guess it is possible to run the simplified code below in 11 seconds.

            ...

            ANSWER

            Answered 2021-Jun-15 at 16:02

            Send your data to separate processes. I used concurrent.futures because I like the simple interface.

            This runs in about 11 seconds on my computer.

            Source https://stackoverflow.com/questions/67958976

            QUESTION

            how can i use web audio api with offscreen canvas?
            Asked 2021-Jun-15 at 14:36

            As is known, we can't access the dom element from the workers. When I create AudioContext:

            ...

            ANSWER

            Answered 2021-Jun-15 at 14:36

            Not yet no. Here is a specs issue discussing this very matter, and it is something a lot of actors would like to see, so there is hope it comes, one day.

            Note that there is an AudioWorklet API available, which will create its own Worklet (which also works in a parallel thread), but you still need to instantiate it from the UI thread, and you don't have access to everything that can be done in an AudioContext. Still, it may suit your needs.

            Also, note that it might be possible to do the computing you have to do in a Worker already, by transferring ArrayBuffers from your UI thread to the Worker's one, or by using SharedArrayBuffers.

            Source https://stackoverflow.com/questions/67967751

            QUESTION

            Advice on Logical Data Tidying for a work project
            Asked 2021-Jun-14 at 19:15

            My data set comes from an excel file set up by non-data orientated co-workers. My data is sensitive, so I cannot share the data set, but I will try to make an example so it's easier to see what I'm talking about. I have a unique identifier column. My problem is with the date columns. I have multiple date columns. When imported into R, some of the columns imported as dates, and some of them imported as excel dates. then some of the cells in the columns have a string of dates (in character type). not all the strings are the same size. Some have a list of 2, some a list 7.

            I'm trying to Tidy my data. My thoughts were to put all the collection dates in one column. Here is where I'm stuck. I can use pivot_longer() bc not all the columns are the same type. I can't convert the excel dates into R dates w/out getting rid of the list of strings. And I can' get rid of the list of strings, bc I'm running into the Error: Incompatible lengths. I think my logic flow is wrong and any advice to point me in the right direction would be helpful. I can look up coding after i get my flow right.

            What I have:

            ...

            ANSWER

            Answered 2021-Jun-14 at 19:04

            Since you didn't post real data, we have to make some assumptions on the structure of your dataset.

            Data

            Assuming, your data looks like

            Source https://stackoverflow.com/questions/67974079

            QUESTION

            Memory regarding broadcast variables in spark
            Asked 2021-Jun-14 at 17:17

            Assuming I have a cluster with two worker nodes and from these two workers, I have 10 executors. How much memory will be used up in my cluster if I choose to broadcast a 1gb Map?

            Will it be 1gb per worker so 2gb in total? Or will it be 1gb per executor so 10gb in total?

            Apologies for the simple question, but for me, a number of articles written about broadcast variables aren’t 100% clear on this issue.

            ...

            ANSWER

            Answered 2021-Jun-14 at 17:17

            Executers are the entities that perform the actual work. Each executor is its own JVM process with allotted memory.

            (As described here: http://spark.apache.org/docs/latest/cluster-overview.html)

            The broadcast is materialized at the executer level so in the above example- 10GB.

            Source https://stackoverflow.com/questions/67974064

            QUESTION

            unable to mmap 1024 bytes - Cannot allocate memory - even though there is more than enough ram
            Asked 2021-Jun-14 at 11:16

            I'm currently working on a seminar paper on nlp, summarization of sourcecode function documentation. I've therefore created my own dataset with ca. 64000 samples (37453 is the size of the training dataset) and I want to fine tune the BART model. I use for this the package simpletransformers which is based on the huggingface package. My dataset is a pandas dataframe. An example of my dataset:

            My code:

            ...

            ANSWER

            Answered 2021-Jun-08 at 08:27

            While I do not know how to deal with this problem directly, I had a somewhat similar issue(and solved). The difference is:

            • I use fairseq
            • I can run my code on google colab with 1 GPU
            • Got RuntimeError: unable to mmap 280 bytes from file : Cannot allocate memory (12) immediately when I tried to run it on multiple GPUs.

            From the other people's code, I found that he uses python -m torch.distributed.launch -- ... to run fairseq-train, and I added it to my bash script and the RuntimeError is gone and training is going.

            So I guess if you can run with 21000 samples, you may use torch.distributed to make whole data into small batches and distribute them to several workers.

            Source https://stackoverflow.com/questions/67876741

            QUESTION

            CPLEX: CP Optimizer took forever to run with 0 solution
            Asked 2021-Jun-14 at 07:15

            I run my model in CPLEX using Constraint Programming, my model managed to run with 8 workers. But after 3 hours, it still has no solution so I have to stop the model.

            Is there something wrong with my model? I tried to run the model with only a few sample in the Excel file but it still failed to give me a solution after hours of run time. Thank you so much in advance!

            My mod. file:

            ...

            ANSWER

            Answered 2021-Jun-14 at 07:15

            If you turn scale into

            Source https://stackoverflow.com/questions/67950526

            QUESTION

            AWS Load Balancer Controller successfully creates ALB when Ingress is deployed, but unable to get DNS Name in CDK code
            Asked 2021-Jun-13 at 20:44

            I originally posted this question as an issue on the GitHub project for the AWS Load Balancer Controller here: https://github.com/kubernetes-sigs/aws-load-balancer-controller/issues/2069.

            I'm seeing some odd behavior that I can't trace or explain when trying to get the loadBalacnerDnsName from an ALB created by the controller. I'm using v2.2.0 of the AWS Load Balancer Controller in a CDK project. The ingress that I deploy triggers the provisioning of an ALB, and that ALB can connect to my K8s workloads running in EKS.

            Here's my problem: I'm trying to automate the creation of a Route53 A Record that points to the loadBalancerDnsName of the load balancer, but the loadBalancerDnsName that I get in my CDK script is not the same as the loadBalancerDnsName that shows up in the AWS console once my stack has finished deploying. The value in the console is correct and I can get a response from that URL. My CDK script outputs the value of the DnsName as a CfnOutput value, but that URL does not point to anything.

            In CDK, I have tried to use KubernetesObjectValue to get the DNS name from the load balancer. This isn't working (see this related issue: https://github.com/aws/aws-cdk/issues/14933), so I'm trying to lookup the Load Balancer with CDK's .fromLookup and using a tag that I added through my ingress annotation:

            ...

            ANSWER

            Answered 2021-Jun-13 at 20:23

            I think that the answer is to use external-dns.

            ExternalDNS allows you to control DNS records dynamically via Kubernetes resources in a DNS provider-agnostic way.

            Source https://stackoverflow.com/questions/67955013

            QUESTION

            Python tqdm process_map: Append list shared between processes?
            Asked 2021-Jun-13 at 19:47

            I want to share a list to append output from parallel threads, started by process_map from tqdm. (The reason why I want to use process_map is the nice progress indicator and the max_workers= option.)

            I have tried to use from multiprocessing import Manager to create the shared list, but I am doing something wrong here: My code prints an empty shared_list, but it should print a list with 20 numbers, correct order is not important.

            Any help would be greatly appreciated, thank you in advance!

            ...

            ANSWER

            Answered 2021-Jun-13 at 19:47

            You didn't specify what platform you are running under (you are supposed to tag your question with your platform whenever you tag a question with multiprocessing), but it appears you are running under a platform that uses spawn to create new processes (such as Windows). This means that when a new process is launched, an empty address space is created, a new Python interpreter is launched and the source is re-executed from the top.

            So although you have in the block that begins if __name__ == '__main__': assigned to shared_list a managed list, each process in the pool that is created will be executing shared_list = [] clobbering your initial assignment.

            You can pass shared_list as the first argument to your worker function:

            Source https://stackoverflow.com/questions/67957266

            QUESTION

            After setup OpenCV on my android project build failure occurred while executing com.android.build.gradle.internal.tasks.Workers$ActionFacade
            Asked 2021-Jun-13 at 06:06

            I got an error for Build Project, Debug & Run

            ...

            ANSWER

            Answered 2021-Jun-13 at 06:06

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

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            Install workers

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            gh repo clone ng-web-apis/workers

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