protobuf | Python implementation of Protocol Buffers | Build Tool library

 by   eigenein Python Version: 3.0.0a5 License: MIT

kandi X-RAY | protobuf Summary

kandi X-RAY | protobuf Summary

protobuf is a Python library typically used in Utilities, Build Tool applications. protobuf has no bugs, it has a Permissive License and it has low support. However protobuf has 1 vulnerabilities and it build file is not available. You can install using 'pip install protobuf' or download it from GitHub, PyPI.

Python implementation of Protocol Buffers data types.

            kandi-support Support

              protobuf has a low active ecosystem.
              It has 197 star(s) with 18 fork(s). There are 10 watchers for this library.
              There were 6 major release(s) in the last 12 months.
              There are 7 open issues and 33 have been closed. On average issues are closed in 338 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of protobuf is 3.0.0a5

            kandi-Quality Quality

              protobuf has 0 bugs and 0 code smells.

            kandi-Security Security

              protobuf has 1 vulnerability issues reported (0 critical, 0 high, 1 medium, 0 low).
              protobuf code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              protobuf 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

              protobuf releases are available to install and integrate.
              Deployable package is available in PyPI.
              protobuf has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              protobuf saves you 393 person hours of effort in developing the same functionality from scratch.
              It has 934 lines of code, 149 functions and 19 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed protobuf and discovered the below as its top functions. This is intended to give you an instant insight into protobuf implemented functionality, and help decide if they suit your requirements.
            • Decorator for creating Message types
            • Create one - of - part fields
            • Check if a type is optional
            • Determines if a type is repeated
            • Create a Field instance
            • Deserialize from bytes_
            • Load a message from a stream
            • Return an optional field
            • Create a field
            • Load from bytes__
            • Load data from io
            • Serializes the object to bytes
            • Dump the given value to the given io io
            • Load this instance from a stream
            • Reads a varint from the io stream
            • Merges two values
            • Decorator to check if the field is in the current field
            • Validate a signed integer value
            • Validate a value
            Get all kandi verified functions for this library.

            protobuf Key Features

            No Key Features are available at this moment for protobuf.

            protobuf Examples and Code Snippets

            Compare two protobuf messages .
            pythondot img1Lines of Code : 53dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def ProtoEq(a, b):
              """Compares two proto2 objects for equality.
              Recurses into nested messages. Uses list (not set) semantics for comparing
              repeated fields, ie duplicates and order matter.
                a: A proto2 message or a primitive.
            Convert this Variable to a protobuf .
            pythondot img2Lines of Code : 45dot img2License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def to_proto(self, export_scope=None):
                """Converts a `ResourceVariable` to a `VariableDef` protocol buffer.
                  export_scope: Optional `string`. Name scope to remove.
                  RuntimeError: If run in EAGER mode.
            Create a protobuf profile .
            pythondot img3Lines of Code : 41dot img3License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def profile(graph, run_metadata, output_dir=None):
              """Generate profiles in pprof format.
              for pprof proto format.
                graph: A `Graph` object.
                run_metadata: A `Run  

            Community Discussions


            maven multi-module project with two versions of protobuf
            Asked 2021-Jun-15 at 21:40

            We have a multi-module maven project. One of the modules has a bunch of .proto files, which we compile to java files. Pretty much every other module depends on this module. Most of them use Protobuf 2.4, but one needs to use 2.5.

            Is there any nice way to do this? (The not nice way is to edit the pom file to say "2.5", build a jar, manually copy that jar to wherever we need it, and then change the pom file back to 2.4.)



            Answered 2021-Jun-08 at 13:59

            Never used protobuf, but, as I understand it's a plugin that generate stuff.

            So I'm gonna give you generic pointer hoping it will help. I think you should either try to make 2 jar with different classifier from a single module, see For example classifier proto2.4 and proto2.5 then you can add the classifier when you define the dependency to that module.

            Other option I see is having 2 modules, the real one, you have now, and another one for 2.5 Generate a zip from the main one and the second module would be empty but have a dependency on the generated zip, unzip it and then compile with the plugin config for 2.5 Slower at execution, a bit dirtier imho, but can be needed if for example you need more customization than just the version.



            Dynamically set bigquery table id in dataflow pipeline
            Asked 2021-Jun-15 at 14:30

            I have dataflow pipeline, it's in Python and this is what it is doing:

            1. Read Message from PubSub. Messages are zipped protocol buffer. One Message receive on a PubSub contain multiple type of messages. See the protocol parent's message specification below:



            Answered 2021-Apr-16 at 18:49


            Is that even possible to decode Protobuf binary message to human readable view from Mysql blob column using only Mysql?
            Asked 2021-Jun-11 at 05:37

            We store a protobuf messages using:



            Answered 2021-Jun-11 at 05:37

            MySQL stored procedures do have all the necessary programming constructs to do this, so theoretically it is possible. However, it will involve quite a bit of programming and is probably not worth doing on database side.

            However, here is the rough sketch of what the stored procedures would have to do. Refer to Protobuf encoding documentation for details.

            1. Create a stored procedure read_varint() that will read the first varint from a blob, and returns it as integer and the remaining blob.
            2. Create a stored procedure decode_point() that repeatedly calls read_varint() to take a tag, then calls read_varint() to read field data and assigns it to variable based on tag number.
            3. Create similar decode_timestamp() for the built-in google.protobuf.Timestamp datatype and call it from decode_point() for the timestamp field.
            4. Create a stored procedure decode_entry() that repeatedly calls read_varint() to take a tag, and either decodes time directly or calls decode_point(), depending on the tag value.
            5. Extend all these procedures to skip fields with unknown tag numbers.

            Interestingly, your message types only have varint fields. So at the bare minimum, you could just call read_varint() repeatedly to get all the varints to a list. Then each field is always at a specific index. However, I don't recommend this, because it wouldn't be possible to extend it to handle future fields of different types.



            Keras logits and labels must have the same first dimension, got logits shape [10240,151] and labels shape [1], sparse_categorical_crossentropy
            Asked 2021-Jun-10 at 13:36

            I'm trying to create a Unet for semantic segmentation.. I've been following this repo that has the code from this article. I'm using the scene parsing 150 dataset instead of the one used in the article. My data is not one-hot encoded so I'm trying to use sparse_categorical_crossentropy for loss.

            This is the shape of my data. x is RGB images, y is 1 channel annotations of categories (151 categories). Yes, I'm using just 10 samples of each, just for testing, this will be changed when I can actually get it to start training.



            Answered 2021-Jun-10 at 13:36


            Error "Unexpected wire type" in a protobuf response in PHP
            Asked 2021-Jun-09 at 14:51

            I am executing a POST request to a server, which responds "properly", but when trying to call the mergeFromString() function I receive the following error:

            Google\Protobuf\Internal\GPBDecodeException: Error occurred during parsing: Unexpected wire type. in Google\Protobuf\Internal\Message.php on line 353

            I am using CURL with PHP:



            Answered 2021-Jun-03 at 04:47

            In this case the error is because the string is invalid.
            And it is invalid because the value (string) returned by CURL includes all the data from the HTTP request, for example:



            Cast request in gRPC interceptor to relevant protobuf message
            Asked 2021-Jun-04 at 18:03

            I have a UnaryServerInterceptor that receives a req Interface{}. This req could be any one of my messages, but in this case all my messages have a metadata child message in common.

            Protobuf definitions (sample)



            Answered 2021-Jun-04 at 18:03

            The protoc generation should have produced a method called GetMetadata for both types. You can check if the incoming message implements an interface using a type assertion (see the tour of go for more details), then call that method to get the metadata.



            error_category mismatch in asio when used across dlls
            Asked 2021-Jun-03 at 14:30

            I have a problem with handling asio::error_code values when they are received from another dll or executable. For instance, I may run an asynchronous operation with a handler:



            Answered 2021-Jun-03 at 14:30

            This is what I meant with this comment

            though boost::system::system_error could invite issues back

            The trouble is, error categories are global singleton instances, with object identity (i.e. compared for equality by their address).

            You'r ending up with multiple instances in multiple modules. The usual solution is to

            • dynamically link to Boost System, so all libraries use the same copy (this does however sometimes run into initialization order issues)
            • if that doesn't solve it, make sure all modules actually load the same library (version?)
            • In recent boosts I think there's the option to build Boost System completely header-only. This may or may not involve new-fangled C++14 inline, I haven't checked.

            If all else fails, do your own translation. There's related issues that might give you ideas:

            Is it normal or expected to compare only errorCode.value() against enums?

            No it is not. According to some sources Boost as well as standard library promise to map generic error category to errc which is standard - so you could do that, but you still have to figure out whether that is the category, so doesn't help your scenario.



            Error in generated code with protoc-gen-grpc-gateway
            Asked 2021-Jun-02 at 15:53

            I'm new to Protocol Buffers and gRPC stuff. Now I'm trying to build a client/server architecture with grpc + grpc-gateway in Go.

            I tried to follow some examples but I always end up with the same problem. After generating the code with protoc i run go build and I get this error:



            Answered 2021-Feb-11 at 13:40

            Ok I solved the issue.

            I had installed protoc via snap and the stable channel had version 3.11.4

            Now I upgraded to 3.14.0 and everything is working well.



            Dependency convergence error while validating Hazelcast project
            Asked 2021-Jun-01 at 10:41

            Getting this error for "mvn clean validate". Is this issue the same as Can someone please help to resolve this? I haven't changed pom.xml.



            Answered 2021-Jun-01 at 10:41

            You either need to disable the dependencyConvergence check in the POM, or you need to add an entry to the section of your POM which contains the version of error_prone_annotations that you want to use.



            GRPC C# - Where are the well known grpc types stored to reference them? Unable to import google.protobuf.Timestamp
            Asked 2021-May-30 at 15:06

            I have a very simple protobuf file as below



            Answered 2021-May-30 at 11:12


            google.protobuf.TimeStamp last_updated = 3;


            google.protobuf.Timestamp last_updated = 3;


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


            No vulnerabilities reported

            Install protobuf

            You can install using 'pip install protobuf' or download it from GitHub, PyPI.
            You can use protobuf like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.


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