gcs | GURPS Character Sheet | Game Engine library

 by   richardwilkes Go Version: v5.12.0 License: MPL-2.0

kandi X-RAY | gcs Summary

kandi X-RAY | gcs Summary

gcs is a Go library typically used in Gaming, Game Engine applications. gcs has a Weak Copyleft License and it has low support. However gcs has 154 bugs and it has 3 vulnerabilities. You can download it from GitHub.

GURPS Character Sheet

            kandi-support Support

              gcs has a low active ecosystem.
              It has 178 star(s) with 56 fork(s). There are 20 watchers for this library.
              There were 10 major release(s) in the last 12 months.
              There are 49 open issues and 541 have been closed. On average issues are closed in 151 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of gcs is v5.12.0

            kandi-Quality Quality

              gcs has 154 bugs (8 blocker, 3 critical, 106 major, 37 minor) and 6317 code smells.

            kandi-Security Security

              gcs has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              gcs code analysis shows 3 unresolved vulnerabilities (3 blocker, 0 critical, 0 major, 0 minor).
              There are 25 security hotspots that need review.

            kandi-License License

              gcs is licensed under the MPL-2.0 License. This license is Weak Copyleft.
              Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

            kandi-Reuse Reuse

              gcs releases are available to install and integrate.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed gcs and discovered the below as its top functions. This is intended to give you an instant insight into gcs implemented functionality, and help decide if they suit your requirements.
            • Emit a key .
            • Adjusts column widths based on the layout of the grid .
            • Main entry point .
            • Handle the drop target row .
            • Initialize the static map .
            • Get the resolved value for the input .
            • Handles a request .
            • Load DRBonus information from the data file .
            • Packs an outline .
            • Create standard attributes .
            Get all kandi verified functions for this library.

            gcs Key Features

            No Key Features are available at this moment for gcs.

            gcs Examples and Code Snippets

            No Code Snippets are available at this moment for gcs.

            Community Discussions


            Apache Beam Python gscio upload method has @retry.no_retries implemented causes data loss?
            Asked 2021-Jun-14 at 18:49

            I have a Python Apache Beam streaming pipeline running in Dataflow. It's reading from PubSub and writing to GCS. Sometimes I get errors like "Error in _start_upload while inserting file ...", which comes from:



            Answered 2021-Jun-14 at 18:49

            In a streaming pipeline, Dataflow retries work items running into errors indefinitely.

            The code itself does not need to have retry logic.

            Source https://stackoverflow.com/questions/67972758


            React App running in Heroku fails when retrieving large amounts of data
            Asked 2021-Jun-14 at 18:09

            I have a react application (Node back end) running on Heroku (free option) connecting to a MongoDB running on Atlas (also free option). When I connect the application from my local machine to the Atlas DB all is fine and data retrieved (all 108 K records) in about 10 seconds, smaller amounts (4-500 records) of data in much less time. The same request from the application running on Heroku to the Atlas DB fails. The application running on Heroku can retrieve a small number of records (1-10) from the same collection of (108 K records), in less than a second. As soon as I try to retrieve a couple of hundred records the system fails. Below are the logs. I included the section of the logs that show a successful retrieval of 1 record and then failing on the request for about 450 records.

            I have three questions:

            1. What is the cause of the issue?
            2. Is there a work around in the free option of Heroku?
            3. If there is no work around in the free option, what Heroku pay level will I need to get to and what steps will I need to take to get this working? I will probably upgrade in the future but want to prove all is working before going in that direction.




            Answered 2021-Jun-14 at 18:09

            You're running out of heap memory in your node server. It might be because there's some statement that uses a lot of memory. You can try to find that or you can try to increase node memory like this.

            Source https://stackoverflow.com/questions/67975049


            Javascript heap out of memory while running a js script to fetch data from an api every minute- javascript/node.js
            Asked 2021-Jun-10 at 22:13

            My program grabs ~70 pages of 1000 items from an API and bulk-inserts it into a SQLite database using Sequelize. After looping through a few times, the memory usage of node goes up to around 1.2GB and and then eventually crashes the program with this error: FATAL ERROR: MarkCompactCollector: young object promotion failed Allocation failed - JavaScript heap out of memory. I've tried using delete for all of the big variables that I use for the response of the API call and stuff with variable = undefined and then global.gc(), however I still get huge amounts of memory usage and eventually it crashes. Would increasing the memory cap of Node.js help? Or would the memory usage of it just keep increasing until it hits the next cap?

            Here's the full output of the error:



            Answered 2021-Jun-10 at 10:01

            From the data you've provided, it's impossible to tell why you're running out of memory.

            Maybe the working set (i.e. the amount of stuff that you need to keep around at the same time) just happens to be larger than your current heap limit; in that case increasing the limit would help. It's easy to find out by trying it, e.g. with --max-old-space-size=8000 (megabytes).

            Maybe there's a memory leak somewhere, either in your own code, or in one of your third-party modules. In other words, maybe you're accidentally keeping objects reachable that you don't really need any more.

            If you provide a repro case, then people can investigate and tell you more.

            Side notes:

            • according to your output, heap memory consumption is growing to ~4 GB; not sure why you think it tops out at 1.2 GB.
            • it is never necessary to invoke global.gc() manually; the garbage collector will kick in automatically when memory pressure is high. That said, if something is keeping old objects reachable, then the garbage collector can't do anything.

            Source https://stackoverflow.com/questions/67911370


            Gitlab-runner dind results in ERROR: Job failed (system failure): Error response from daemon: OCI runtime create failed: container_linux.go:380:
            Asked 2021-Jun-10 at 21:28

            The executor for the project gitlab-runner is docker. I try to run docker-in-docker and I get the following Error from pipeline:

            ERROR: Job failed (system failure): Error response from daemon: OCI runtime create failed: container_linux.go:380: starting container process caused: process_linux.go:545: container init caused: process_linux.go:508: setting cgroup config for procHooks process caused: resulting devices cgroup doesn't match target mode: unknown (docker.go:385:0s)

            I followed this guide: https://www.digitalocean.com/community/tutorials/how-to-set-up-a-continuous-deployment-pipeline-with-gitlab-ci-cd-on-ubuntu-18-04 and after I read the docs of gitlab CI/CD and gitlab-runner, but I can't find out how to solve this problem.

            This is currently my config.toml file:



            Answered 2021-Jun-10 at 21:28

            I solved it with a downgrade of docker:

            sudo apt-get install --reinstall docker-ce=5:18.09.9~3-0~ubuntu-bionic docker-ce-cli=5:18.09.9~3-0~ubuntu-bionic docker-ce-rootless-extras containerd.io=1.3.9-1

            The problem was that I run on a V-Server (Virtuozzo) with Ubuntu 18. It seems that Virtuozzo does not support currently the newest Docker Engine.

            Source https://stackoverflow.com/questions/67845347


            apache beam trigger when all necessary files in gcs bucket is uploaded
            Asked 2021-Jun-09 at 17:35

            I'm new to beam so the whole triggering stuff really confuse me. I have files that are uploaded regularly to gcs to a path that looks something like this: node-///files_parts and I need to write something that would trigger when all 8 parts of a file exist.

            Their names are something like that: file_1_part_1, file_1_part_2, file_2_part_1, file_2_part_2 (there could be multiple files parts in the same dir but if its a problem I could ask for it to change).

            Is there any way to create this trigger? and if not what do you suggest I could do instead?




            Answered 2021-Jun-09 at 17:35

            If you are using the Java SDK, you can use a transform Watch to achieve this. I don't see a counterpart in the Python SDK though.

            I think it's better to write a program polling the files in the GCS directory. When 8 parts of a file is available, publish a message containing the file name to Pub/Sub or similar product.

            Then in your Beam pipeline, use the Pub/Sub topic as the streaming source to do your ETL.

            Source https://stackoverflow.com/questions/67906102


            How to generate the pyarrow schema for the dynamic values
            Asked 2021-Jun-08 at 08:01

            I am trying to write a parquest schema for my json message that needs to be written back to a GCS bucket using apache_beam

            My json is like below:



            Answered 2021-Jun-08 at 07:37

            This is the schema you need:

            Source https://stackoverflow.com/questions/67880464


            Heap of out of memory
            Asked 2021-Jun-07 at 09:14

            I am having problem with the memory when I try to start my react app with npm start. The error says



            Answered 2021-Jun-07 at 09:14

            I've solved issue by changing node version which I was using 14.17.0 and I switched to 14.10.1. I have used nvm-windows to switch node versions

            Source https://stackoverflow.com/questions/67867612


            wasm code commit Allocation failed - process out of memory
            Asked 2021-Jun-04 at 11:13

            I have a nodejs script which was working fine on nodejs 12. I got a new macbook air on which I installed nodejs LTS 14. The scripts was not working as intended so I have downgraded it to nodejs 12 LTS. Now I'm getting an error for process out of memory. I have also tried using --max-oud-size to increase the memory allocation.

            export NODE_OPTIONS=--max_old_space_size=4096

            It didn't work. Following is the stack trace for the error



            Answered 2021-Jan-24 at 18:03

            This issue has been fixed in Node 15.3.0.

            I updated mine and it worked fine for me.

            Source https://stackoverflow.com/questions/65856300


            Truncating the file while saving on SFTP server using Python?
            Asked 2021-Jun-04 at 10:41


            Answered 2021-Jun-01 at 09:31

            Answer based on what @Martin-Prikryl suggested


            Source https://stackoverflow.com/questions/67775753


            Google Cloud Storage for Google Colab TPU pricing
            Asked 2021-Jun-01 at 15:38

            I want to use Google Colab free TPU with a custom dataset, that's why I need to upload it to GCS. I created bucket in GCS and uploaded dataset.

            Also I read that there are two classes of operations with data in GCS: operation class A and operation class B [reference].

            My questions are: does accessing dataset from GCS in Google Colab fall in one of these operation classes? What is average price you pay for using GCS for Colab TPU?



            Answered 2021-Jun-01 at 15:38

            Yes, accessing to the Objects (files) in your GCS bucket will result in possible charges to your Billing Account but there are some other factors that you might need to consider. Let me explain (sorry in advance for the very long answer):

            Google Cloud Platform services use APIs behind the scene to perform multiple actions such as show, create, delete or edit certain resources.

            Cloud Storage is not the Exception. As mentioned in the Cloud Storage docs operations can be cataloged in two: the ones performed by the JSON API and the ones done by the XML API.

            All operations performed on the Cloud Console or Client libraries (the ones used to interact via code with languages like Python, Java, PHP, etc.), the Operations will be charged using the JSON API by default. Let's focus on this one.

            I want you to pay attention at the name of the methods under each Operations column:

            The structure can be read as follows:

            Source https://stackoverflow.com/questions/67063455

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


            No vulnerabilities reported

            Install gcs

            You can download it from GitHub.


            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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