flatbuffers | FlatBuffers : Memory Efficient Serialization Library | Serialization library

 by   google C++ Version: 23.5.26 License: Apache-2.0

kandi X-RAY | flatbuffers Summary

kandi X-RAY | flatbuffers Summary

flatbuffers is a C++ library typically used in Utilities, Serialization applications. flatbuffers has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

FlatBuffers: Memory Efficient Serialization Library

            kandi-support Support

              flatbuffers has a medium active ecosystem.
              It has 20605 star(s) with 3112 fork(s). There are 637 watchers for this library.
              There were 4 major release(s) in the last 12 months.
              There are 119 open issues and 2104 have been closed. On average issues are closed in 128 days. There are 13 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of flatbuffers is 23.5.26

            kandi-Quality Quality

              flatbuffers has 0 bugs and 0 code smells.

            kandi-Security Security

              flatbuffers has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              flatbuffers code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              flatbuffers is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              flatbuffers releases are available to install and integrate.
              Installation instructions are not available. Examples and code snippets are available.
              It has 36622 lines of code, 5168 functions and 449 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

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            flatbuffers Key Features

            No Key Features are available at this moment for flatbuffers.

            flatbuffers Examples and Code Snippets

            How can I avoid circular header dependencies when using native_type with flatbuffers?
            JavaScriptdot img1Lines of Code : 6dot img1License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            struct Vec2;
            namespace flatbuffers {
                Vec2 Pack(const vector2& obj);
                vector2 UnPack(const Vec2& obj);
            Generate flatbuffers windows shared lib with CMake
            JavaScriptdot img2Lines of Code : 8dot img2License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
                   "Enable the build of the flatbuffers shared library"
            cmake .. -G "Visual Studio 16 2019" -DFLATBUFFERS_BUILD_SHAREDLIB=ON
            cmake -LH
            How to use to two deserialization techniques with same class names
            JavaScriptdot img3Lines of Code : 58dot img3License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            class ModelInfo {
                // This is the model we want to expose to our upper layers (View Models, Blocs etc) 
            abstract class ApiDataManager {
              List fetchItems();
            class jsonApi implements 

            Community Discussions


            No such file or directory: '/opt/anaconda3/lib/python3.8/site-packages/rtree/lib'
            Asked 2022-Mar-13 at 16:13

            I am trying to build an app from a python file (Mac OS) using the py2app extension. I have a folder with the python file and the "setup.py" file.

            • I first tested the app by running python setup.py py2app -A in the terminal and the dist and build folder are successfully created and the app works when launched.
            • Now when I try to build it non-locally by running the command python setup.py py2app in the terminal, there are various "WARNING: ImportERROR" messages while building and finally a error: [Errno 2] No such file or directory: '/opt/anaconda3/lib/python3.8/site-packages/rtree/lib' error.

              How can I fix this? I've tried to delete anaconda fully as I don't use it but it seems to still want to run through it. Additionally, I have tried to run the build command using a virtual environment but I end up having even more import errors.
              *I Left out a lot of the "skipping" and "warning" lines using "..." for space


            Answered 2022-Mar-13 at 16:13

            The error error: [Errno 2] No such file or directory: '/opt/anaconda3/lib/python3.8/site-packages/rtree/lib' was caused by py2app trying to build the program bundle using a non-existent interpreter. This means that even if you try to uninstall a manager like Anaconda, it still has option logs somewhere on your mac.

            The fix:

            1. Open the terminal and type the command type -a python.
            • You will see similar lines

            Source https://stackoverflow.com/questions/71414043


            C++ FlatBuffers - Assertion failed: (finished), function Finished
            Asked 2022-Mar-05 at 17:29

            Here is my schema:



            Answered 2022-Mar-05 at 17:29

            If you get an assert, it is always good to check the assert code, it may give you a hint as to why:

            Source https://stackoverflow.com/questions/71364272


            detach().cpu() kills kernel
            Asked 2022-Feb-28 at 22:25

            I am trying to plot an image noise using pytorch, however, when I reach to that point, the kernel dies. I am attempting the same code at Google Colab where I do get results

            Result at Google Colab

            Result at Jupyter

            I do not think that it has something to do with the code itself, but I am posting the function to plot the grid:



            Answered 2022-Feb-28 at 22:25

            After a few days I was able to find the solution

            Firstly, my code needed to be fixed to correctly call the params needed with the proper name

            Source https://stackoverflow.com/questions/71225998


            Add or modify a nullptr Vector from a partially filled flatbuffer?
            Asked 2022-Feb-28 at 16:20

            This builds off of the monster schema example. If I partially fill a flatbuffer such as in the official test.cpp.

            Relevant lines also copied below



            Answered 2022-Feb-28 at 16:20

            Disclaimer: Flatbuffers doesn't generally allow mutating a vector after the buffer has been finished. However, we do have some advanced APIs in the reflection API for doing such mutations, but are generally slow and not recommended.

            We don't support the case of resizing a null vector. We store null within the vtable and there is no data/size information in the buffer related to a null vector. Therefore there is nothing to resize.

            You may try inserting a empty vector instead, as that should place the necessary data/size information into the buffer that can be later resized.

            Source https://stackoverflow.com/questions/71289536


            Spring Boot Logging to a File
            Asked 2022-Feb-16 at 14:49

            In my application config i have defined the following properties:



            Answered 2022-Feb-16 at 13:12

            Acording to this answer: https://stackoverflow.com/a/51236918/16651073 tomcat falls back to default logging if it can resolve the location

            Can you try to save the properties without the spaces.

            Like this: logging.file.name=application.logs

            Source https://stackoverflow.com/questions/71142413


            Could not resolve com.google.guava:guava:30.1-jre - Gradle project sync failed. Basic functionality will not work properly - in kotlin project
            Asked 2022-Feb-14 at 19:47

            It was a project that used to work well in the past, but after updating, the following errors appear.



            Answered 2021-Sep-17 at 11:03

            Add mavenCentral() in Build Script

            Source https://stackoverflow.com/questions/69205327


            Can't install Tensorflow lower than 2.0
            Asked 2022-Feb-09 at 09:43

            I got this error

            AttributeError: module 'TensorFlow' has no attribute 'variable_scope'

            when I ran my code and I'm searching in Google for this. They said it required TensorFlow lower than 2.0. Then I started to install it with this code in cmd pip install tensorflow==1.15 then I got another error

            ERROR: Could not find a version that satisfies the requirement tensorflow==1.15 (from versions: 2.5.0rc0, 2.5.0rc1, 2.5.0rc2, 2.5.0rc3, 2.5.0, 2.5.1, 2.5.2, 2.5.3, 2.6.0rc0, 2.6.0rc1, 2.6.0rc2, 2.6.0, 2.6.1, 2.6.2, 2.6.3, 2.7.0rc0, 2.7.0rc1, 2.7.0, 2.7.1, 2.8.0rc0, 2.8.0rc1, 2.8.0) ERROR: No matching distribution found for tensorflow==1.15

            I tried a lot of ways on the internet to find a way to solve it! My information Tensorflow and computer

            Name: tensorflow Version: 2.8.0 Summary: TensorFlow is an open source machine learning framework for everyone. Home-page: https://www.tensorflow.org/ Author: Google Inc. Author-email: packages@tensorflow.org License: Apache 2.0 Location: c:\users\admin\appdata\roaming\python\python39\site-packages Requires: absl-py, astunparse, flatbuffers, gast, google-pasta, grpcio, h5py, keras, keras-preprocessing, libclang, numpy, opt-einsum, protobuf, setuptools, six, tensorboard, tensorflow-io-gcs-filesystem, termcolor, tf-estimator-nightly, typing-extensions, wrapt

            Python 3.9.7

            Computer information:

            Intel(R) Core(TM) i7-8750H CPU Processor @ 2.20 GHz 2.21 GHz Installed RAM 16.0 GB (15.9 GB usable) Device ID 26A28871-033A-43F4-9933-B82BE00E75C3 Product ID 00330-80000-00000-AA214 System type 64 bit Operating system, processor based on x64 Pen and apps No pen or touchpad for this monitor

            Thank you for your help 🥰🥰



            Answered 2022-Feb-09 at 09:43

            You probably have CUDA11 install on your system. Tensorflow 1.X can't run on CUDA 11 unless you use Docker and Nvidia Container Toolkit.

            I recommend you to use a Docker container provided by Tensorflow with the required version.

            Source https://stackoverflow.com/questions/71044931


            How to resolve compatibility issues for Tensorflow and associated packages?
            Asked 2022-Feb-09 at 08:11

            I cannot find a way to pip install the following Python modules without compatibility issues (from a requirements.txt file, on Red Hat Enterprise Linux release 8.2):



            Answered 2022-Feb-09 at 08:11

            The problem was caused by jupyter/tensorflow being loaded in the background. The following solved the issue:

            Source https://stackoverflow.com/questions/71036415


            Colab: (0) UNIMPLEMENTED: DNN library is not found
            Asked 2022-Feb-08 at 19:27

            I have pretrained model for object detection (Google Colab + TensorFlow) inside Google Colab and I run it two-three times per week for new images I have and everything was fine for the last year till this week. Now when I try to run model I have this message:



            Answered 2022-Feb-07 at 09:19

            It happened the same to me last friday. I think it has something to do with Cuda instalation in Google Colab but I don't know exactly the reason

            Source https://stackoverflow.com/questions/71000120


            AWS Elastic Beanstalk - Failing to install requirements.txt on deployment
            Asked 2022-Feb-05 at 22:37

            I have tried the similar problems' solutions on here but none seem to work. It seems that I get a memory error when installing tensorflow from requirements.txt. Does anyone know of a workaround? I believe that installing with --no-cache-dir would fix it but I can't figure out how to get EB to do that. Thank you.




            Answered 2022-Feb-05 at 22:37

            The error says MemoryError. You must upgrade your ec2 instance to something with more memory. tensorflow is very memory hungry application.

            Source https://stackoverflow.com/questions/71002698

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


            No vulnerabilities reported

            Install flatbuffers

            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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            npm i flatbuffers

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