enoki | Enoki: structured vectorization and differentiation on modern processor architectures

by mitsuba-renderer C++ Version: v0.1.0 License: Non-SPDX

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

kandi X-RAY | enoki Summary

enoki is a C++ library typically used in Big Data applications. enoki has no bugs, it has no vulnerabilities and it has medium support. However enoki has a Non-SPDX License. You can download it from GitHub.

Enoki is a C++ template library that enables automatic transformations of numerical code, for instance to create a "wide" vectorized variant of an algorithm that runs on the CPU or GPU, or to compute gradients via transparent forward/reverse-mode automatic differentation.

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Support

enoki has a medium active ecosystem.

It has 1172 star(s) with 92 fork(s). There are 44 watchers for this library.

It had no major release in the last 6 months.

There are 17 open issues and 67 have been closed. On average issues are closed in 48 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of enoki is v0.1.0

Quality

enoki has 0 bugs and 0 code smells.

Security

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

enoki code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

enoki 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

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

Installation instructions are not available. Examples and code snippets are available.

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enoki Key Features

No Key Features are available at this moment for enoki.

enoki Examples and Code Snippets

Beautiful Soup find all to find certain div with no class

Python

Lines of Code : 85

License : Strong Copyleft (CC BY-SA 4.0)

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from bs4 import BeautifulSoup
r = requests.get("https://www.foodstandards.gov.au/industry/foodrecalls/recalls/Pages/default.aspx")
soup=BeautifulSoup(r.text,'html.parser')
for item in soup.select("a[href^='https://www.foodstandards.gov.au/

Community Discussions

Trending Discussions on enoki

sqrtf() throws a domain error, even though I guard against negative numbers

QUESTION

sqrtf() throws a domain error, even though I guard against negative numbers

Asked 2020-Aug-14 at 02:32

I am normalizing a 3D vector, and the clang-9 generated code throws a SIGFPE on the sqrtf() even though I do a test before calling it.

Note that I run with FP exceptions enabled.

...

ANSWER

Answered 2020-Aug-14 at 00:57

throws a domain error, even thoug I guard against negative numbers

But if (lensq > FLT_EPSILON) is too late as earlier dx*dx + dy*dy + dz*dz caused int overflow. "and indeed overflow, causing lensq to be negative" - which is undefined behavior UB.

Compiler can take advantage that sqrtf(lensq) can always work because it can assume dx*dx + dy*dy + dz*dz >= 0 and so lensq >= 0.0f.

Get rid of UB.

Source https://stackoverflow.com/questions/63404720

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