pywrap | C++ binding generator based on libclang and pybind11 | Build Tool library

by CadQuery C++ Version: occt7.4 License: Apache-2.0

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

kandi X-RAY | pywrap Summary

pywrap is a C++ library typically used in Utilities, Build Tool applications. pywrap has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

PyWrap is a C++ binding generator using pybind11, libclang and jinja. The main goal of this project is to automatically generate bindings for OCCT7.3 and beyond without single manual edit of the generated code. Once finished the project will be usable as a general C++ binding generator.

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pywrap has a low active ecosystem.

It has 18 star(s) with 11 fork(s). There are 6 watchers for this library.

It had no major release in the last 12 months.

There are 10 open issues and 17 have been closed. On average issues are closed in 48 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pywrap is occt7.4

Quality

pywrap has 0 bugs and 0 code smells.

Security

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

pywrap code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pywrap is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

pywrap releases are available to install and integrate.

It has 954 lines of code, 86 functions and 10 files.

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

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pywrap Key Features

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pywrap Examples and Code Snippets

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Community Discussions

Trending Discussions on pywrap

Cannot import tensorflow in Spyder

Installing Tensorflow 2 gets a dll failed to load in pywrap_tensorflow.py

Python - Tensorflow won't import due to missing DLL's

QUESTION

Cannot import tensorflow in Spyder

Asked 2021-Jan-21 at 14:09

When I run import keras in Spyder, the error message states that keras cannot find a tensorflow with version > 2.2

When I run import tensorflow, I get the following error message:

File "C:\Users\xxx\Anaconda3\Lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 64, in from tensorflow.python._pywrap_tensorflow_internal import *

ImportError: DLL load failed while importing _pywrap_tensorflow_internal: Det går inte att hitta den angivna modulen.

(Last message in local tribal language translates as "Can not find the specified module")

I have installed keras and tensorflow via Anaconda using pip. The tensorflow version installed is 2.4.0, Keras 2.4.3 and Python 3.8

If I look in the folder C:\Users\xxx\Anaconda3\Lib\site-packages\tensorflow\python_pywrap_tensorflow_internal, there is a file called _pywrap_tensorflow_internal.lib I am not a Python expert, but I am guessing this file contains the binary code that should be called when the error is thrown ? The folder C:\Users\xxx\Anaconda3\Lib\site-packages is added to the Python path manager from within Spyder-

I used to being able to run Keras with this computer (Windows 10, x64). But since I formatted the hard drive and reinstalled everything from scratch it does not work. No GPU involved.

Sidenote: Some replies (1, 2) to similar questions on this site suggests it has to do with the Visual studio distribution. I have installed VS 2015, previously I used VS 2019. I would prefere not to install VS 2019 if it can be avoided

...

ANSWER

Answered 2021-Jan-21 at 14:09

Installing the Microsoft Visual C++ 2015 Redistrutable Update 3 solved the problem. I think I found it here

Source https://stackoverflow.com/questions/65827527

QUESTION

Installing Tensorflow 2 gets a dll failed to load in pywrap_tensorflow.py

Asked 2020-Jul-26 at 16:09

I have had problems here, here and there installing TensorFlow 2 over the last year or so. So I am trying Miniconda.

I have an AMD Radeon hd 6670 and an AMD Radeon hd 6450.

I just downloaded Miniconda and made an environment and did a pip install --upgrade tensorflow in a Miniconda prompt on Windows 8.1 and got TensorFlow 2.2.

When I try to import tensorflow I get the stack trace below.

I did download Visual Studio to get the latest redistributebles (I think).

seems like this occurs near this line: from tensorflow.python.pywrap_tensorflow_internal import *

Edit 1: I used this yaml file for python 3.6 (the other was 3.7), but it produced the same error.

Edit 2: I upgraded to Conda 4.8.3 and Python 3.7 (in the yaml file) and got the same error. This is the line in pywrap internal that shows the problem:

...

ANSWER

Answered 2020-Jul-26 at 16:09

Status Quo

I ran into a comparable problem (this is the furthest i got) reproducibly on two machines. Some of the discussed issues seems to be known for example here: 1 2 3 4. Not only to reproduce 2, it makes sense to also start using virtual environments in order to test multiple tf versions. This can be achieved like this: (link for virtualenv on windows)

Source https://stackoverflow.com/questions/62376660

QUESTION

Python - Tensorflow won't import due to missing DLL's

Asked 2020-Feb-25 at 13:56

Problem

Tensorflow will not import due to tensorflow.python.pywrap_tensorflow_internal not existing. I am recieving the following error 'ImportError: DLL load failed: The specified module could not be found.'.

Solution Attempts

I have been attempting to follow a similar issue that was reported to the Tensorflow documentation. However, I cannot find the solution or any appropriate pointers in amongst the thread.
I downloaded the MSVCP140.DLL file after reading on this thread. However, I have not changed my System Path to suit as I am unsure what it should b changed too (This could be the issue).
I have tried installing Tensorflow accross numerous Python versions (3.5.2, 3.6.0, 3.7.0) and the same error continues to occur.

Question

I am wondering can I use Tensorflow on this machine? and if so then what are the steps that I need to follow to configure Tensorflow to the correct settings.

Set-up Environment

Python version - 3.5.2
Device - ThinkPad X1 Carbon, i7-8550U, 16GB, 256GB SSD

...

ANSWER

Answered 2020-Feb-25 at 13:56

Install the Microsoft Visual C++ Redistributable for Visual Studio 2015, 2017 and 2019. This is according to TensorFlow's installation instructions.

Related to tensorflow/tensorflow#35749.

Source https://stackoverflow.com/questions/60396123

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

Vulnerabilities

No vulnerabilities reported

Install pywrap

You can download it from GitHub.

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