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It is deprecated in favour of importlib and slated for removal in Python
3.12. Since the return value of imp.find_module('numpy') is unused, the
only effect of calling this function is to raise an ImportError when
numpy is not available; importing numpy directly is already sufficient
to do this.
The imp package is still used in python/flatbuffers/compat.py, but only
on Python 2, where it is not deprecated and will not be removed.
Co-authored-by: Derek Bailey <derekbailey@google.com>
FlatBuffers
FlatBuffers is a cross platform serialization library architected for maximum memory efficiency. It allows you to directly access serialized data without parsing/unpacking it first, while still having great forwards/backwards compatibility.
Go to our landing page to browse our documentation.
Supported operating systems
- Windows
- macOS
- Linux
- Android
- And any others with a recent C++ compiler (C++ 11 and newer)
Supported programming languages
Code generation and runtime libraries for many popular languages.
- C
- C++ - snapcraft.io
- C# - nuget.org
- Dart - pub.dev
- Go - go.dev
- Java - Maven
- JavaScript - NPM
- Kotlin
- Lobster
- Lua
- PHP
- Python - PyPi
- Rust - crates.io
- Swift - swiftpackageindex
- TypeScript - NPM
- Nim
Versioning
FlatBuffers does not follow traditional Semver versioning (see rationale) but rather uses a format of the date of the release.
Contribution
- FlatBuffers Issues Tracker to submit an issue.
- stackoverflow.com with
flatbufferstag for any questions regarding FlatBuffers.
To contribute to this project, see CONTRIBUTING.
Community
- FlatBuffers Google Group to discuss FlatBuffers with other developers and users.
- Discord Server
- Gitter
Security
Please see our Security Policy for reporting vulnerabilities.
Licensing
Flatbuffers is licensed under the Apache License, Version 2.0. See LICENSE for the full license text.
Description
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