band | Monolithic repository of everything Band Protocol | Cryptocurrency library

 by   bandprotocol JavaScript Version: 0.0.1 License: Apache-2.0

kandi X-RAY | band Summary

kandi X-RAY | band Summary

band is a JavaScript library typically used in Blockchain, Cryptocurrency, Ethereum applications. band has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Band Protocol is a protocol for decentralized data governance on public blockchains. The protocol incentivizes multiple independent parties to work cooperatively to provide trusted data for decentralized applications on-chain. For more information on how the protocol works, visit the developer portal. This repository is a monorepo containing Band Protocol's smart contracts and variuous supporting tools and libraries. See below for the breakdown and explanation of each folder. Note that each folder is its own independent module with separate license and README.
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            kandi-support Support

              band has a low active ecosystem.
              It has 114 star(s) with 14 fork(s). There are 8 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 3 open issues and 46 have been closed. On average issues are closed in 5 days. There are 103 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of band is 0.0.1

            kandi-Quality Quality

              band has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              band is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              band releases are available to install and integrate.
              band saves you 3831 person hours of effort in developing the same functionality from scratch.
              It has 8166 lines of code, 338 functions and 494 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

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            band Key Features

            No Key Features are available at this moment for band.

            band Examples and Code Snippets

            No Code Snippets are available at this moment for band.

            Community Discussions

            QUESTION

            How to create a dataframe with data from JSON output
            Asked 2021-Jun-15 at 12:09

            I've used a web API to import data from a specific website. I was able to import the data in JSON format. I am very new to python, hence finding hard to transform it to a tabular format which I can use it for my data analysis. Here's my sample code;

            ...

            ANSWER

            Answered 2021-Jun-15 at 12:09

            Is it what you expect?

            Source https://stackoverflow.com/questions/67983180

            QUESTION

            How to add multiple dataframe columns to the basic mplfinance plot()
            Asked 2021-Jun-15 at 01:49
            import yfinance as yf
            msft = yf.Ticker('MSFT')
            data = msft.history(period='6mo')
            import mplfinance as mpf
            
            data['30 Day MA'] = data['Close'].rolling(window=20).mean()
            data['30 Day STD'] = data['Close'].rolling(window=20).std()
            data['Upper Band'] = data['30 Day MA'] + (data['30 Day STD'] * 2)
            data['Lower Band'] = data['30 Day MA'] - (data['30 Day STD'] * 2)
            
            apdict = (
                    mpf.make_addplot(data['Upper Band'])
                    , mpf.make_addplot(data['Lower Band'])
                    )
            mpf.plot(data, volume=True, addplot=apdict)
            
            ...

            ANSWER

            Answered 2021-Jun-15 at 01:49
            • As per Adding plots to the basic mplfinance plot(), section Plotting multiple additional data sets
              • Aside from the example below, for two columns from a dataframe, the documentation shows a number of ways to configure an appropriate object for the addplot parameter.
              • apdict = [mpf.make_addplot(data['Upper Band']), mpf.make_addplot(data['Lower Band'])] works as well. Note it's a list, not a tuple.
            • mplfinance/examples

            Source https://stackoverflow.com/questions/67978325

            QUESTION

            calculate percentage relative to entire table
            Asked 2021-Jun-14 at 16:08

            I want to calculate the % according to the total of the entire table, not just row or column in a pandas table with python. I can do by row and by column separately, but i rather to do the entire table. Any suggestions are welcome. Thanks so much

            data

            ...

            ANSWER

            Answered 2021-Jun-07 at 13:04

            If you do not have to do it in a single apply, you can just divide your cross-table with the total sum.

            Source https://stackoverflow.com/questions/67871730

            QUESTION

            Error in .subset2(x, i, exact = exact) : recursive indexing failed at level 2
            Asked 2021-Jun-11 at 21:40

            I am trying to recode my education variable from a factor with 18 levels to a factor with 7 levels,ranging from no qualification - GCSE D-G, GCSE A*-C- A Level -Undergraduate -Postgraduate - other.

            ...

            ANSWER

            Answered 2021-Jun-11 at 21:40

            The syntax of the first command is wrong. Instead of bes[[bes$education]] use bes$education. Square brackets [[]] are to be used with numbers of columns and $ symbol with their names. It's either [[]] or $ but not both.

            Source https://stackoverflow.com/questions/66722081

            QUESTION

            git-receive-pack works with double quotes but not single quotes, while git calls it with single quotes
            Asked 2021-Jun-11 at 13:10

            I am working on setting up git repositories on a windows server (2019), attempting to follow https://git-scm.com/book/en/v2/Git-on-the-Server-Setting-Up-the-Server. However, no matter what I do, git push comes up with fatal: ''/Users/testing/testrepo.git'' does not appear to be a git repository.

            I ran:
            git init
            git add test.txt (test file, just contained test)
            git commit -m "test"
            git remote add origin testing@(removed):Users/testing/testrepo.git
            git push origin master

            After struggling with this for a while, I enabled logging for ssh and found this line on the server side log file:
            7744 2021-06-09 03:58:37.691 debug1: Executing command: "c:\windows\system32\cmd.exe" /c "git-receive-pack '/Users/testing/testrepo.git'" with no pty

            I tried manually running git-recieve-pack '/Users/testing/testrepo.git', and it came up with the same error. However, I then tried running git-receive-pack "/Users/testing/testrepo.git", and it gave
            00bb0000000000000000000000000000000000000000 capabilities^{} report-status report-status-v2 delete-refs side-band-64k quiet atomic ofs-delta object-format=sha1 agent=git/2.32.0.windows.1 0000

            The only difference was " instead of '. Is this something weird with windows server, or am I doing something wrong?

            ...

            ANSWER

            Answered 2021-Jun-11 at 13:10

            Turns out it was an issue with the ssh server I was using: https://github.com/PowerShell/Win32-OpenSSH/issues/752. One of the workarounds in the comments was to set the git receivepack and uploadpack commands to use powershell, but since I didn't want to change that for my global git config or have to do it for every repository I found a better solution. Following https://docs.microsoft.com/en-us/windows-server/administration/openssh/openssh_server_configuration, I added a key to HKLM:\SOFTWARE\OpenSSH: DefaultShell = "C:\windows\System32\WindowsPowerShell\v1.0\powershell.exe". Now ssh commands go to powershell by default on that server, which fixed the issue with git-receive-pack.

            Source https://stackoverflow.com/questions/67903167

            QUESTION

            How to read multiband image files with more than 4 bands in python?
            Asked 2021-Jun-10 at 10:19

            I am using the following code to read geotiff images (~300). Each image file contains 15 bands.

            code:

            ...

            ANSWER

            Answered 2021-Jun-10 at 08:48

            You may read the image using GDAL as described in the following post.

            Example:

            Source https://stackoverflow.com/questions/67903219

            QUESTION

            How to design a model for contour recognition? In particular, how to shape the output layer?
            Asked 2021-Jun-10 at 10:11

            I want to design and train a neural network for the automatic recognition of the edges, in some microscopic images. I am using Keras for a start, I may consider PyTorch later.

            The structure of the images is rather simple, with some dark areas, and some clear areas, relatively easy to distinguish, and the task is to select the pixels of the contour between dark and clear areas. The transition between dark and clear is gradual, so my result is not a single line of edge pixels, but rather a 10 or 15 pixels wide "ribbon" at the edge.

            I have manually annotated 200-something images, so for each image I have another image, of the same size, where the pixels of the contours are black, and all the other pixels are white.

            I have seen many tutorials on how to design, compile and fit a model (a neural network), and then how to test it, using the manually annotated data.

            However, most of the tutorials work on problems of classification, where the number of neurons in the output layer is the number of categories.

            My problem is not a problem of classification, and ideally my output should be an image of the same size of the input.

            So, here is my question:

            What is the best way to design the output layer? Is a layer with a number of neurons equal to the number of pixels the best idea? Or this is a waste, and there is a more efficient way?

            Addendum

            1. The images are "easy", but it is still difficult to find the contour pixels, so I believe that it is worth using the machine learning approach.
            2. The transition between dark and clear is a little gradual, so my result is not a single line of pixels on the edge, but rather a band, a 10 or 15 wide ribbon of edge pixels. Since I am after a ribbon of pixels, my categories should be "edge" and "not-edge". If I use the categories "dark pixels" and "clear pixels", and then numerically find the pixels between the two areas I do not get the "ribbon" result, which I need.
            ...

            ANSWER

            Answered 2021-Jun-10 at 10:11

            The short answer is "yes": it is a good idea to have as many neurons in output as you have in input, i.e. to output an image with the same resolution of the input images.

            The network architecture will have an input layer with a neuron for each pixel, then typically the hidden layers will shrink to less neurons, probably with convolutional layers, and then some more layers will re-expand the number of neurons, up to the output layer, which in principle may have the same number of neurons as the input layer.

            The most common architecture in this type of problem is the U-net architecture, described in the article "U-Net: Convolutional Networks for Biomedical Image Segmentation", by Ronneberger, Fischer, and Brox, published on the open arxiv: https://arxiv.org/abs/1505.04597.

            [

            Source https://stackoverflow.com/questions/67874428

            QUESTION

            Hide all LibVLCSharp elements
            Asked 2021-Jun-09 at 20:45

            I'm developing an app that has live video, I managed to implement LibVLCSharp, but I have a problem, I need to remove everything from the screen, this is just missing:

            Here is my code:

            XAML

            ...

            ANSWER

            Answered 2021-Jun-09 at 20:45

            Not sure what you mean. If you want to have only the video player, why not using the VideoView element instead of MediaPlayerElement (which is a view that already embeds commonly-used controls, like buttons, a seekbar...)

            Source https://stackoverflow.com/questions/67903688

            QUESTION

            Index out of bounds error for raster data extraction code
            Asked 2021-Jun-09 at 13:29

            I am using a code written by Victor Velasquez to extract data from raster files which contain dayly precipitation data since 1981. When I run the code, I get this error that some index is out of bounds. I did a little research and found that this is common and there are a lot of similar questions here, but I haven´t been able to find the specific solution for this case.

            The error:

            ...

            ANSWER

            Answered 2021-Jun-09 at 13:29

            It looks like the file you are reading does not contain the geospatial point you are trying to find data for. (If this is incorrect please let me know).

            You can add a statement to catch if a point is contained in the data:

            Source https://stackoverflow.com/questions/67904766

            QUESTION

            how numpy.ndarray can be normalized?
            Asked 2021-Jun-09 at 12:35

            I am working with numpy.ndarray including 286 images with the shape of (286, 16, 16, 3). Each image contains 3 bands with varying pixel values with float32 data types. The maximum value of pixel value in each band can be more than 255. Is it possible to normalize this numpy.ndarray between [0-1]?

            code for reading the images:

            ...

            ANSWER

            Answered 2021-Jun-09 at 09:21

            If you want the range of values of every image to be between 0 and 255, you could loop over the images, calculate min and max of the original image and squeeze them, so the minimum is 0 and the maximum is 255.

            Source https://stackoverflow.com/questions/67885596

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

            Vulnerabilities

            No vulnerabilities reported

            Install band

            You can download it from GitHub.

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            We highly encourage participation from the community to help with Band Protocol development. If you are interested in developing with Band Protocol or have suggestion for protocol improvement, please open an issue, submit a pull request, or drop as a line.
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