PeachPy | x86-64 assembler embedded in Python

by Maratyszcza Python Version: Current License: Non-SPDX

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

kandi X-RAY | PeachPy Summary

PeachPy is a Python library. PeachPy has no vulnerabilities, it has build file available and it has medium support. However PeachPy has 3 bugs and it has a Non-SPDX License. You can download it from GitHub.

x86-64 assembler embedded in Python

Support

Quality

Security

License

Reuse

Support

PeachPy has a medium active ecosystem.

It has 1738 star(s) with 162 fork(s). There are 76 watchers for this library.

It had no major release in the last 6 months.

There are 24 open issues and 65 have been closed. On average issues are closed in 38 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of PeachPy is current.

Quality

PeachPy has 3 bugs (2 blocker, 0 critical, 1 major, 0 minor) and 1043 code smells.

Security

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

PeachPy code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

PeachPy has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

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

Build file is available. You can build the component from source.

PeachPy saves you 14747 person hours of effort in developing the same functionality from scratch.

It has 29480 lines of code, 3074 functions and 95 files.

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

Top functions reviewed by kandi - BETA

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

Lower pseudo instructions
MOV instruction
Create an AND instruction
Creates an arithmetic instruction
Encode the instructions
Encode the ABORT instruction
Generate a NOP instruction
Encode the given length
Return data as a bytearray
Return a dict of the KEPS extension
Encodes the header
Generates a comment for the supported forms
Lower argument loads
Check that the operand is valid
Format the instruction
Layout the local variables
Encode this command
Adds a module to the list of modules
Aggregate instruction forms
Generates a check for an operand
Convert a modrm register to a register
Build an ELEMENT instruction
Add a function
Format the result
Add a function to the text section
Adds a function to the image

Get all kandi verified functions for this library.

PeachPy Key Features

No Key Features are available at this moment for PeachPy.

PeachPy Examples and Code Snippets

NNPACK Contrib Installation-Build/Install NNPACK-Build NNPACK

Python

Lines of Code : 0

License : Permissive (Apache-2.0)

Copy

git clone --recursive https://github.com/Maratyszcza/NNPACK.git
cd NNPACK
# Add PIC option in CFLAG and CXXFLAG to build NNPACK shared library
sed -i "s|gnu99|gnu99 -fPIC|g" CMakeLists.txt
sed -i "s|gnu++11|gnu++11 -fPIC|g" CMakeLists.txt
mkdir build

Community Discussions

Trending Discussions on PeachPy

How to bruteforce a lossy AND routine?

QUESTION

How to bruteforce a lossy AND routine?

Asked 2020-Aug-21 at 18:56

Im wondering whether there are any standard approaches to reversing AND routines by brute force. For example I have the following transformation:

...

ANSWER

Answered 2020-Aug-19 at 18:02

It's not lossy, the final operation is an XOR.
The whole routine can be modeled in C as

Source https://stackoverflow.com/questions/63487412

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

Vulnerabilities

No vulnerabilities reported

Install PeachPy

You can download it from GitHub.
You can use PeachPy 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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