memorymapping | fmemopen port for iOS and Mac OS X

by NimbusKit C Version: Current License: No License

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

kandi X-RAY | memorymapping Summary

memorymapping is a C library typically used in macOS applications. memorymapping has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Originally ported from [ingenuitas python-tesseract] Ported by Jeff Verkoeyen under the Apache 2.0 License.

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Quality

Security

License

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Support

memorymapping has a low active ecosystem.

It has 95 star(s) with 36 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 1 have been closed. On average issues are closed in 4 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of memorymapping is current.

Quality

memorymapping has no bugs reported.

Security

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

License

memorymapping does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

memorymapping 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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memorymapping Key Features

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memorymapping Examples and Code Snippets

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Community Discussions

Trending Discussions on memorymapping

Add new datastore during upgrade

Python: Iterating Large Files

QUESTION

Add new datastore during upgrade

Asked 2020-Sep-01 at 15:25

I want to migrate binary content from the segmentstore to a new datastore during an repository update. The current version of my repository is 1.6.1. It is using TarMK segmentstore, and has no datastore. In my experience, having binaries in a file datastore offers a considerable boost in performance. So that’s what I want to do with my upgrade to 1.26.0. But how does one copy binaries to a new datastore?

This command migrates my content to the new repository. The application loads the content properly. But there is no datastore.

...

ANSWER

Answered 2020-Sep-01 at 15:25

I did this once a long time ago. Your command to split the repository looks correct. You can check the datastore folder after running the oak-upgrade tool to see if there are files created.

Don't forget to create the needed configuration files to use the file datastore before starting Sling on the new (split) repository location.

Create a org.apache.jackrabbit.oak.plugins.blob.datastore.FileDataStore.config file in the install folder which contains at least this property:

Source https://stackoverflow.com/questions/63569028

QUESTION

Python: Iterating Large Files

Asked 2020-Jun-26 at 11:25

I am a beginner and will appreciate any alternatives to handle my problem. Simply put, I have two files, containing one vector each. Aim is to subtract all the elements of file 2 from file 1; for all possible combinations. Everything is fine for small vectors, everything is fine, but the processing time is huge for larger file such as with million elements in each file.

Given below is the minimal working example. I heard about memorymapping and would appreciate if you can share a modified version or any relevant pointers to handle this issue.

...

ANSWER

Answered 2020-Jun-26 at 00:33

This may help a little bit.

Source https://stackoverflow.com/questions/62584815

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

Vulnerabilities

No vulnerabilities reported

Install memorymapping

You can download it from GitHub.

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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