BUFFY | Back Up Files | Continuous Backup library

 by   r-kan Python Version: Current License: MIT

kandi X-RAY | BUFFY Summary

kandi X-RAY | BUFFY Summary

BUFFY is a Python library typically used in Backup Recovery, Continuous Backup applications. BUFFY has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However BUFFY build file is not available. You can download it from GitHub.

BUFFY, stands for 'Back Up Files For You', is a command line tool to back up files.
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            kandi-support Support

              BUFFY has a low active ecosystem.
              It has 19 star(s) with 1 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. On average issues are closed in 1103 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of BUFFY is current.

            kandi-Quality Quality

              BUFFY has 0 bugs and 0 code smells.

            kandi-Security Security

              BUFFY has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              BUFFY code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              BUFFY is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              BUFFY releases are not available. You will need to build from source code and install.
              BUFFY has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              BUFFY saves you 233 person hours of effort in developing the same functionality from scratch.
              It has 568 lines of code, 49 functions and 9 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed BUFFY and discovered the below as its top functions. This is intended to give you an instant insight into BUFFY implemented functionality, and help decide if they suit your requirements.
            • Backup sources
            • Get all sources
            • Return a list of source files
            • Get all files in a directory
            • Backup the compressed files
            • Create a directory
            • Write content to disk
            • Show sources
            • Show a list entry
            • Copy src to dst
            • Return the size of the file in dry mode
            • Uncompress files
            • Returns a string representation of the reproduce command
            • Backup source
            • Write a report to disk
            • Copy src to destination
            • Check if a file is not dry
            • Return the separator
            Get all kandi verified functions for this library.

            BUFFY Key Features

            No Key Features are available at this moment for BUFFY.

            BUFFY Examples and Code Snippets

            No Code Snippets are available at this moment for BUFFY.

            Community Discussions

            QUESTION

            pandas: group years by decade
            Asked 2022-Apr-16 at 04:26

            So I have data in CSV. Here is my code.

            ...

            ANSWER

            Answered 2022-Apr-16 at 04:17

            I see two simple options.

            1- round the years to the lower 10:

            Source https://stackoverflow.com/questions/71891015

            QUESTION

            Get data from pandas on specifics string
            Asked 2022-Apr-16 at 02:48

            So here is my code.

            ...

            ANSWER

            Answered 2022-Apr-16 at 02:48
            import pandas as pd
            
            data = pd.read_csv('cast.csv')
            data_2 = data[data['type'] == 'actor']
            output = data_2[data['name'].str.startswith('Aaron')]
            print(output)
            

            Source https://stackoverflow.com/questions/71890633

            QUESTION

            Hangman | Problem with using names and surnames as "word"
            Asked 2021-Jun-28 at 01:57

            I'm new to programming. I was doing a classic hangman game, but I wanted it to be guessing some character's names from a show (name and surname).

            My problem: the dashes print the space between name and surname instead of ignoring it, example:

            Secret word: Rupert Giles

            How it prints when all the letters are guessed: Rupert_ Giles (yes, it has a space after the dash)

            I've tried:

            • split()
            • writing character instead of letter (as space doesn't count as character in lines 41,42 and 43)
            • separating the name as ["Name""Surname, "Name2""Surname1"]
            • and ['Name'' ''Surname','Name1'' ''Surname1']

            What I think it's the problem: the secret "word" is stored in main, and main is in charge of putting dashes instead of the letters, the code of that part goes like this

            ...

            ANSWER

            Answered 2021-Jun-27 at 23:42

            You can make this adjustment. Replace

            Source https://stackoverflow.com/questions/68156077

            QUESTION

            JavaScript sort an array of objects based array of properties
            Asked 2021-Mar-22 at 15:08

            I have for example this dataset:

            ...

            ANSWER

            Answered 2021-Mar-22 at 15:05

            You could take a closure over the wanted order and check the value if finite then return the delta or treat the values as string.

            Inside sorting function iterate as long as the return value is falsy and take this value as return value for sorting.

            Source https://stackoverflow.com/questions/66748582

            QUESTION

            Proper length passed to fgets
            Asked 2021-Feb-17 at 10:36

            If I have the following buffer:

            ...

            ANSWER

            Answered 2021-Feb-16 at 19:43

            As stated in the fgets docs:

            Arguments:
            ...
            n - This is the maximum number of characters to be read (including the final null-character). Usually, the length of the array passed as str is used.

            So, you should use 40 if your array has a length of 40.

            Source https://stackoverflow.com/questions/66231054

            QUESTION

            d3.js want to change node style on dragend
            Asked 2020-Sep-17 at 05:45

            I have a d3.js graph that allows the user to click and drag nodes around. Once they drag a node around, I'm considering it "fixed". Once it gets fixed I want to visually show the difference between nodes that are fixed and ones that aren't by changing the stroke for the node to a different color.

            However, I don't know where to put in the logic for changing the stroke width. Right now, I put the logic when the circle is initially drawn, but it doesn't get updated after a node is dragged. Where should I put my logic check and style change?

            Here is my code. Notice the .style change at the end of the node.append("circle")

            ...

            ANSWER

            Answered 2020-Sep-17 at 05:45

            When you set the stroke attribute right after append("circle"), what is done is done. The stroke color will be the one you set in that moment, i.e. d.fixed !== true and the stroke is green.

            The right way to change the stroke color once dragend,

            Source https://stackoverflow.com/questions/63931592

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

            Vulnerabilities

            No vulnerabilities reported

            Install BUFFY

            You can download it from GitHub.
            You can use BUFFY 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.

            Support

            Please contact Rodney Kan by its_right@msn.com for any question/request/bug without hesitation.
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          • HTTPS

            https://github.com/r-kan/BUFFY.git

          • CLI

            gh repo clone r-kan/BUFFY

          • sshUrl

            git@github.com:r-kan/BUFFY.git

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