struct_layout | structure layout of types in your C/C program

by arvidn Python Version: Current License: BSD-3-Clause

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | struct_layout Summary

struct_layout is a Python library. struct_layout has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However struct_layout build file is not available. You can download it from GitHub.

tool to show the structure layout of types in your C/C++ program, highlighting padding

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Security

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struct_layout has a low active ecosystem.

It has 90 star(s) with 13 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. On average issues are closed in 2424 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of struct_layout is current.

Quality

struct_layout has 0 bugs and 0 code smells.

Security

struct_layout has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

struct_layout code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

struct_layout is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

struct_layout releases are not available. You will need to build from source code and install.

struct_layout has no build file. You will be need to create the build yourself to build the component from source.

struct_layout saves you 222 person hours of effort in developing the same functionality from scratch.

It has 544 lines of code, 61 functions and 1 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed struct_layout and discovered the below as its top functions. This is intended to give you an instant insight into struct_layout implemented functionality, and help decide if they suit your requirements.

Process a dwarf dump file
Parse a tag
Recursively parse lines
Collect the types of the tree
Print the contents of the struct
Print a field
Print a progress bar
Prints the expected number of fields
Name of the Union
Name of the task
Name of the pointer
Name of this type
Return the name of the pointer
Name of the constant
Get the size of the terminal
Prints a struct
Print usage information
Name of the module

Get all kandi verified functions for this library.

struct_layout Key Features

No Key Features are available at this moment for struct_layout.

struct_layout Examples and Code Snippets

No Code Snippets are available at this moment for struct_layout.

Community Discussions

Trending Discussions on struct_layout

-mmacosx-version-min influences packing behaviour with bitfields?

QUESTION

-mmacosx-version-min influences packing behaviour with bitfields?

Asked 2018-Nov-14 at 00:09

I'm seeing an odd behaviour where my bitfields are ended up in the padding:

...

ANSWER

Answered 2018-Nov-14 at 00:09

It seems that the struct_layout tool you're using relies on DWARF debugging information. The differences you're seeing do not reflect a difference in data layout, only in the available debugging info.

Using -mmacosx-version-min=10.10 limits the version of DWARF used to version 2, because that's all that macOS 10.10's tools will understand. I expect that you would get similar results by specifying -gdwarf-2.

Source https://stackoverflow.com/questions/53290437

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

Vulnerabilities

No vulnerabilities reported

Install struct_layout

You can download it from GitHub.
You can use struct_layout 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.

Support

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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