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# Protocol Buffers Python
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This directory contains the Protobuf library for Python.
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In most cases you should install the library using `pip` or another package
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manager:
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```
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$ pip install protobuf
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```
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The packages released on https://pypi.org/project/protobuf/#files include both a
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source distribution and binary wheels.
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For user documentation about how to use Protobuf Python, see
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https://protobuf.dev/getting-started/pythontutorial/
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# Building packages from this repo
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If for some reason you wish to build the packages directly from this repo, you
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can use the following Bazel commands:
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```
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$ bazel build //python/dist:source_wheel
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$ bazel build //python/dist:binary_wheel
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```
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The binary wheel will build against whatever version of Python is installed on
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your system. The source package is always the same and does not depend on a
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local version of Python.
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# Implementation backends
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There are three separate implementations of Python Protobuf. All of them offer
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the same API and are thus functionally the same, though they have very different
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performance characteristics.
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The runtime library contains a switching layer that can choose between these
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backends at runtime. Normally it will choose between them automatically, using
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priority-ordered list, and skipping any backends that are not available. However
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you can request a specific backend by setting the
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`PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION` environment variable to one of the
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following values:
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1. **upb**: Built on the
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[upb C library](https://github.com/protocolbuffers/protobuf/tree/main/upb),
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this is a new extension module
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[released in 4.21.0](https://protobuf.dev/news/2022-05-06/). It offers
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better performance than any of the previous backends, and it is now the
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default. It is distributed in our PyPI packages, and requires no special
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installation. The code for this module lives in this directory.
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1. **cpp**: This extension module wraps the C++ protobuf library. It is
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deprecated and is no longer released in our PyPI packages, however it is
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still used in some legacy cases where apps want to perform zero-copy message
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sharing between Python and C++. It must be installed separately before it
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can be used. The code for this module lives in
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[google/protobuf/pyext](https://github.com/protocolbuffers/protobuf/tree/main/python/google/protobuf/pyext).
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1. **python**: The pure-Python backend, this does not require any extension
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module to be present on the system. The code for the pure-Python backend
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lives in [google/protobuf/internal](google/protobuf/internal)
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The order given above is the general priority order, with `upb` being preferred
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the most and the `python` backend preferred the least. However this ordering can
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be overridden by the presence of a
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`google.protobuf.internal._api_implementation` module. See the logic in
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[api_implementation.py](https://github.com/protocolbuffers/protobuf/blob/main/python/google/protobuf/internal/api_implementation.py)
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for details.
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You can check which backend you are using with the following snippet:
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```
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$ python
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Python 3.10.9 (main, Dec 7 2022, 13:47:07) [GCC 12.2.0] on linux
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Type "help", "copyright", "credits" or "license" for more information.
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>>> from google.protobuf.internal import api_implementation
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>>> print(api_implementation.Type())
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upb
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```
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This is not an officially-supported or stable API, but it is useful for ad hoc
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diagnostics.
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More information about sharing messages between Python and C++ is available
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here: https://protobuf.dev/reference/python/python-generated/#sharing-messages
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# Code generator
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The code for the Protobuf Python code generator lives in
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[//src/google/protobuf/compiler/python](https://github.com/protocolbuffers/protobuf/tree/main/src/google/protobuf/compiler/python).
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The code generator can output two different files for each proto `foo.proto`:
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* **foo_pb2.py**: The module you import to actually use the protos.
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* **foo_pb2.pyi**: A stub file that describes the interface of the protos.
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The `foo_pb2.pyi` file is useful for IDEs or for users who want to read the
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output file. The `foo_pb2.py` file is optimized for fast loading and is not
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readable at all.
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Note that the pyi file is only generated if you pass the `pyi_out` option to
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`protoc`:
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```
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$ protoc --python_out=pyi_out:output_dir
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```
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