cppimport | Import C++ files directly from Python! | IDE Plugin library

by tbenthompson Python Version: 22.8.2 License: MIT

X-Ray Key Features Code Snippets(2)Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | cppimport Summary

cppimport is a Python library typically used in Plugin, IDE Plugin applications. cppimport has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install cppimport' or download it from GitHub, PyPI.

Import C++ files directly from Python!

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Quality

Security

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Support

cppimport has a medium active ecosystem.

It has 1093 star(s) with 62 fork(s). There are 40 watchers for this library.

It had no major release in the last 12 months.

There are 9 open issues and 45 have been closed. On average issues are closed in 88 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of cppimport is 22.8.2

Quality

cppimport has 0 bugs and 10 code smells.

Security

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

cppimport code analysis shows 0 unresolved vulnerabilities.

There are 1 security hotspots that need review.

License

cppimport is licensed under the MIT License. This license is Permissive.

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

Reuse

cppimport releases are available to install and integrate.

Deployable package is available in PyPI.

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

Installation instructions, examples and code snippets are available.

cppimport saves you 219 person hours of effort in developing the same functionality from scratch.

It has 535 lines of code, 46 functions and 13 files.

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

Top functions reviewed by kandi - BETA

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

Parse command line arguments
Builds a file using the given module
Build a cpp module
Builds all files in the given root directory
Import a cpp module by fullname
Create a module from a cppimport
Try to load a module
Find the path to a module that matches the given module
Build a cpp file

Get all kandi verified functions for this library.

cppimport Key Features

No Key Features are available at this moment for cppimport.

cppimport Examples and Code Snippets

How to install scikit-learn, pandas and numpy in a docker image?

Python

Lines of Code : 6

License : Strong Copyleft (CC BY-SA 4.0)

Copy

pybind11
cppimport
jupyter
numpy
scikit-learn

pybind how can I operate over a py::list object

Python

Lines of Code : 63

License : Strong Copyleft (CC BY-SA 4.0)

Copy

class list : public object {
public:
    PYBIND11_OBJECT_CVT(list, object, PyList_Check, PySequence_List)
    explicit list(size_t size = 0) : object(PyList_New((ssize_t) size), stolen_t{}) {
        if (!m_ptr) pybind11_fail("Could not al

Community Discussions

Trending Discussions on cppimport

Can't install Python math library in Docker image

what does <% %> do in c++?

error: no matching function for call to ‘pybind11::buffer_info::buffer_info

QUESTION

Can't install Python math library in Docker image

Asked 2020-Jan-06 at 16:37

I am building a docker image. I have this command in Dockerfile -

pip3 install -r requirements.txt

The contents of the requirement.txt are -

pybind11
cppimport
jupyter
numpy
pandas
scikit-learn
math
random

Everything installs as it should other than "math". When Installing math following error message occurs -

ERROR: Could not find a version that satisfies the requirement math (from -r requirements.txt (line 7)) (from versions: none) ERROR: No matching distribution found for math (from -r requirements.txt (line 7))

How can I solve this and install math?

...

ANSWER

Answered 2020-Jan-06 at 16:37

math is a built in library for python. You don't need to install it. Just remove it from requirements.txt.

If you are having a similar problem importing other Python modules in a Docker image using the requirements.txt file, make sure it is not one of Python's many, many other built-in functions. The complete list is here: https://docs.python.org/3.8/py-modindex.html

(Select the appropriate version from the dropdown menu at the top of the page.)

Source https://stackoverflow.com/questions/57080601

QUESTION

what does <% %> do in c++?

Asked 2019-Dec-07 at 16:08

I'm using cppimport, which is a library that helps importing cpp into python. As described here: https://github.com/tbenthompson/cppimport, it is necesary to put setup_pybind11 into /* */ in the cpp file.

...

ANSWER

Answered 2019-Dec-07 at 16:08

It is wrapped by /* and */ so from the C++ side it is a comment.

I guess that your build automation is running some other program on the same C++ file.

but then I can't run it anymore from visual studio.

Maybe consider using and configuring some better build automation. Tools like ninja or omake or the old GNU make comes to mind. Of course you would configure them to run the cppimport magic (please read its README entirely).

Most C++ compilers are at heart command line driven. Look into GCC or Clang. Both exist on Windows (which I never used, since I use Linux).

it has no effect when the cpp file is imported from python.

But you don't "import" it. According to the README you import cppimport, not your C++ file:

Open a python interpreter and run these lines :

Source https://stackoverflow.com/questions/59227698

QUESTION

error: no matching function for call to ‘pybind11::buffer_info::buffer_info

Asked 2019-Jan-06 at 04:47

I'm trying to wrap a c++ function that uses Armadillo library using pybind11 and cppimport. But when I try to do something simple like matrix multiplication I get the following error.

...

ANSWER

Answered 2019-Jan-05 at 20:36

From tracing from the above comments, seems like it's due to this snippet from your backtrace (line 59):

/home/muah/anaconda3/envs/ising/include/python3.6m/pybind11/buffer_info.h:28:5: note: candidate: pybind11::buffer_info::buffer_info(void*, pybind11::ssize_t, const string&, pybind11::ssize_t, pybind11::detail::any_container, pybind11::detail::any_container) buffer_info(void *ptr, ssize_t itemsize, const std::string &format, ssize_t ndim, ^~~~~~~~~~~ /home/muah/anaconda3/envs/ising/include/python3.6m/pybind11/buffer_info.h:28:5: note: no known conversion for argument 6 from ‘’ to ‘pybind11::detail::any_container’

My suggestion would be to make this work by first explicitly constructing py::any_container(...) for those arguments, which will help you narrow down where inference is going awry. Perhaps it's due to a mismatch between Armadillo's dimensions and ssize_t from pybind11?

Source https://stackoverflow.com/questions/54055530

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