timewarp | Time Machine Backup Manager | Continuous Backup library
kandi X-RAY | timewarp Summary
kandi X-RAY | timewarp Summary
Time Machine Reservoir Sampler. Time Warp is a tool for modifying Time Machine’s backup behavior using sampling statistics.
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Top functions reviewed by kandi - BETA
- Generate weightable time stamps .
- Generate a sequence of key - value pairs .
- Run time warp .
- Performs a timewarp .
- Configure a logger .
- Validate the config file
- Wrapper around Popen
- Return the free size of a file .
- Delete bups .
- Return a list of all buids in tm_backup .
timewarp Key Features
timewarp Examples and Code Snippets
Community Discussions
Trending Discussions on timewarp
QUESTION
I have following code which create an eemail campaign and send it to specific segments in mailchimp
...ANSWER
Answered 2020-Sep-09 at 18:29Use array_merge()
to combine two arrays.
QUESTION
I accidentally entered "git diff timewarp" on my repo, and it listed a lot of changes. I was wondering what is it doing exactly? These are differences from now to when?
...ANSWER
Answered 2019-Oct-16 at 14:38git-diff
- Show changes between commits, commit and working tree, etc
In your case, if you have a branch called timewrap, the changes that are listed are the one between your branch called timewrap and your working tree (files you are currently working on).
These are differences from the files you are currently working on and the one you have commited.
For more information: https://git-scm.com/docs/git-diff
QUESTION
I ve used this function to get a specific campaign's details using Mailchimp API v3.0.
...ANSWER
Answered 2017-Jul-05 at 16:38Finally I found the solution... I suppose it is very basic but I m posting it anyway just in case someone interested!
The solution is: $camp_subject_line = $json->settings->{'subject_line'}.
Thanx anyway!
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install timewarp
You can use timewarp 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.
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