| Easy and fast file sharing from the command-line | Continuous Deployment library

 by   dutchcoders Go Version: v1.6.0 License: MIT

kandi X-RAY | Summary

kandi X-RAY | Summary is a Go library typically used in Devops, Continuous Deployment, Docker applications. has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

Easy and fast file sharing from the command-line. This code contains the server with everything you need to create your own instance. currently supports the s3 (Amazon S3), gdrive (Google Drive), storj (Storj) providers, and local file system (local).

            kandi-support Support

     has a medium active ecosystem.
              It has 14077 star(s) with 1475 fork(s). There are 212 watchers for this library.
              It had no major release in the last 12 months.
              There are 33 open issues and 311 have been closed. On average issues are closed in 123 days. There are 5 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of is v1.6.0

            kandi-Quality Quality

     has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

     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

     releases are available to install and integrate.
              Installation instructions are not available. Examples and code snippets are available.

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   Key Features

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   Examples and Code Snippets

            No Code Snippets are available at this moment for

            Community Discussions


            Command Line Arguments for Container in Kubernetes
            Asked 2022-Mar-12 at 02:46

            I'm trying to deploy a docker container to my Kubernetes cluster, but I'm running into an issue with passing the required command-line arguments to the container. I need to pass two arguments called --provider local and --basedir /tmp. Here is what the docker run command looks like (I can run this without any issues on my docker host):



            Answered 2022-Mar-12 at 02:46


            Detecting Pattern in Real Time Data array in Python
            Asked 2022-Jan-25 at 15:38

            I'm trying to detect specific pattern in the Real time data (Time Series). For the visualization, I'll show the data in two parts here.

            Pattern: I'm trying to search for in time series,

            DataWindow: data buffer(window) I slide in real time to keep track of history.

            Here is my recorded data(red boxes shows the pattern that I want to detect), but this can be different since it is Real Time:

            The above data doesn't have a lot of noise (at least for this collection) - as far as I look at the resolutions, peaks (maybe I would say sinusoidal peaks) are distinguishable at first glance. That is why applying a moving average filter does not help me at all.

            The below image shows some samples from real time data but in the saved data, plotter applies extrapolation to draw continous plot. In general, data samples look like the image below or maybe with more resolution than this image.

            For the initial start, I've tried Spike Detection in a Time-Seriesusing moving average and did not work as I expected. I've also tried some solutions here from this thread Detecting patterns from two arrays of data in Python and the results are not good enough for me to raise a flag in the patterns during run-time(there are many false positives)

            Also, as you might realize from the saved real time data that, patterns can have different scale and most importantly can have different offset. That is the problem I guess for me to apply above solutions on my problem to get distinguishable results.

            To give some example to try out, these can be used for the Pattern and DataWindow Pattern = [5.9, 5.6, 4.08, 2.57, 2.78, 4.78, 7.3, 7.98, 4.81, 5.57, 4.7]

            SampleTarget = [4.74, 4.693, 4.599, 4.444, 3.448, 2.631, 1.845, 2.032, 2.415, 3.714, 5.184, 5.82, 5.61, 4.841, 3.802, 3.11]

            SampleTarget2 = [5.898, 5.91, 5.62, 5.25, 4.72, 4.09, 3.445, 2.91, 2.7, 2.44, 2.515, 2.79, 3.25, 3.915,4.72, 5.65, 6.28, 7.15, 7.81, 8.2, 7.9, 7.71, 7.32, 6.88, 6.44, 6.0,5.58, 5.185, 4.88, 4.72, 4.69, 4.82]

            I am trying to solve this problem on Python for PoC. UPDATE: Dataset is added, includes first two red boxes and a bit wider side as well, which is shown in the saved real time data.dataset



            Answered 2022-Jan-25 at 15:38

            You can compute the gradient of the data and use a threshold to identify the features. Here I use a triple mask to get the down/up/down feature.

            I commented the code to give you the main steps, so I hope it is comprehensive.



            Processing YUV I420 from framebuffer?
            Asked 2021-Oct-10 at 23:07

            I have a byte array named buf, that contains a single video frame in YUV I420 format obtained from a framebuffer. For every video frame I also have the following information:



            Answered 2021-Oct-10 at 23:07

            The layout of the data seems odd but using the given offsets and strides, this is decodable as YUV.

            First there are 384 * 180 bytes of luma.

            Following are the chroma lines, each being 192 bytes long... but U and V lines take turns! This is accounted for by the strange offsets. U offset points exactly to after luma. V offset is 192 bytes further... and reading would leapfrog by 384 bytes.

            Here's code that extracts those planes and assembles them as I420, for decoding with cvtColor:



            MySQL/Eloquent Query Optimization
            Asked 2020-Aug-29 at 22:15

            I have a database with several tables, the ones involved in this query that I want to optimize are only 4.

            albums, songs, genres, genre_song

            A song can have many genres, and a genre many songs. An album can have many songs. An album is related to genres through songs.

            The objective is to be able to recommend albums related to the genre of the album.

            So that led me to have this query.



            Answered 2020-Aug-29 at 18:37

            FWIW, I find the following easier to understand, so I would want to see the EXPLAIN for this:



            How to use ROW_NUMBER() function mysql after the ORDER BY?
            Asked 2020-Mar-30 at 06:09
                  ,,COUNT(transfer.record_name) AS current_rank
                  ,ROW_NUMBER() OVER () AS count
            FROM transfer AS transfer
            LEFT JOIN users AS user ON user.emp_id= transfer.user_id
            WHERE transfer.lobs= 0
            AND transfer.shift_date = '2020-03-27'
            GROUP BY user.emp_id
            ORDER BY current_rank DESC


            Answered 2020-Mar-29 at 17:08

            The result of ROW_NUMBER() is not affected by the sort in the query.

            Instead, it accepts an ORDER BY option within its OVER clause: without it, the ordering of ROW_NUMBER() is undefined, meaning that the database is free to order the rows as it likes. You may observe that the same ordering is used over consecutive executions, but the database does not guarantee it.

            So, do add an ORDER BY to the window function:



            Cannot upload file to Error: could no save metadata
            Asked 2020-Jan-15 at 11:09

   is a service that you can upload files by curl. I'm getting this error when I try to upload some file:



            Answered 2020-Jan-15 at 11:09

            The service seems to be unstable.

            You can use


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


            No vulnerabilities reported


            You can download it from GitHub.


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