Spectra | Spectra is a multi-purpose , for-fun and for-utility | Bot library

 by   jagrosh Java Version: Current License: Apache-2.0

kandi X-RAY | Spectra Summary

kandi X-RAY | Spectra Summary

Spectra is a Java library typically used in Automation, Bot, Nodejs, Discord applications. Spectra has no bugs, it has a Permissive License and it has low support. However Spectra has 6 vulnerabilities and it build file is not available. You can download it from GitHub.

The code here is strictly an example (Currently, it is the legacy code). Running this code on your own is not supported; I will not be providing the resources necessary to self-host.
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            kandi-support Support

              Spectra has a low active ecosystem.
              It has 105 star(s) with 38 fork(s). There are 18 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 301 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Spectra is current.

            kandi-Quality Quality

              Spectra has 0 bugs and 0 code smells.

            kandi-Security Security

              Spectra has 6 vulnerability issues reported (0 critical, 2 high, 3 medium, 1 low).
              Spectra code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              Spectra 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

              Spectra releases are not available. You will need to build from source code and install.
              Spectra has no build file. You will be need to create the build yourself to build the component from source.
              Spectra saves you 6829 person hours of effort in developing the same functionality from scratch.
              It has 14162 lines of code, 665 functions and 109 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Spectra and discovered the below as its top functions. This is intended to give you an instant insight into Spectra implemented functionality, and help decide if they suit your requirements.
            • Received message
            • Runs the program
            • Returns a list of users that match the specified query string
            • Find users
            • Format user info
            • Export a text file
            • Splits a string into several messages
            • Sends a response
            • Entry point for message history
            • Check if target is softbanned
            • Delete message history
            • Handles the avatar update
            • Validates the user
            • Send confirmation
            • Dispatch an emote
            • Process user
            • Called when a guild member leaves the guild
            • Closes the framework
            • Delete the role from the guild
            • Returns all available methods
            • Handler for joining
            • The main method
            • Handles request
            • Called when the server is ready
            • Return a file that displays the members of the given guild
            • Generate bot template
            Get all kandi verified functions for this library.

            Spectra Key Features

            No Key Features are available at this moment for Spectra.

            Spectra Examples and Code Snippets

            No Code Snippets are available at this moment for Spectra.

            Community Discussions

            QUESTION

            How to solve object not found?
            Asked 2021-May-03 at 17:06

            I'm using spectra indices code for hyperspectral data. https://github.com/serbinsh/R-FieldSpectra this is the link for the program I am using. I get to step 2, in line 19 I receive an error for object 'dims' not found. This is the line of code where I receive the error.

            for (i in 1:dims[1]){ print(paste("File: ",spectra$Spectra[i],sep="")) }

            ...

            ANSWER

            Answered 2021-May-03 at 17:06

            That's because there is no object dims.

            Try changing it to for (i in 1:dim(spectra)[1]), which will loop over the rows (1st dimension) of the data frame spectra.

            Source https://stackoverflow.com/questions/67372828

            QUESTION

            Matlab transformation from cell array to matrix array
            Asked 2021-Apr-13 at 13:12

            I built a script (from different scripts of my work group) to read out data from a folder. The problem is at the end I get a data array with 1x49 cell. I need the data in a matrix array for a waterfall plot with matlab.

            The final matrix I need has in the first column the variable 'wave' and from column 2 to i ( the number of cells in my data array) the data from my data array.

            I don't know how to get into the single array fields.

            This is what I wrote to get the data in the array:

            ...

            ANSWER

            Answered 2021-Apr-13 at 13:12

            Given that all your files have the same structure, I think it would be better to use readtable().

            Source https://stackoverflow.com/questions/67070012

            QUESTION

            Standard deviation in python
            Asked 2021-Apr-12 at 08:38

            This is the spectra I want to analyze. How do I measure the standard deviation excluding the channel where the peak is present? Lets say the peak is present between 30,000m/s and 90,000m/s.

            ...

            ANSWER

            Answered 2021-Apr-12 at 08:32

            numpy.std()

            For excluding the peak, your going to have to define what you want to consider a peak to be - otherwise you are going to be making a solution for only the curve you present.

            If you know: (i) your data oscillates around 0, (ii) and that there are no massive troughs (i.e. very negative mins), (iii) and that it should roughly balance around 0 then you could use that to define a peak as greater than 2x the absolute of the min

            Source https://stackoverflow.com/questions/67054866

            QUESTION

            scipy curve_fit coefficient does not align with expected value (physics relevant?)
            Asked 2021-Mar-28 at 21:19

            I am currently processing experimental data for my thesis and am running into a problem with scipy curve_fit.

            Background

            This is a study of LED emission with the following model depicting the absorption spectra for a specific LED composition/wavelength.

            The model is this:

            The basic idea is, we got experimental data and we want to fit this equation to give us a best guess of a vertical shift in the data that is a result of the equipment used in the experiment. And to get that vertical shift, the function to be used in the curve_fit would take the form of a + c * E * np.sqrt(E-bandE) * np.exp(-E*b). bandE/Eg refers to the bandgap energy of the material which will be provided in the code section. E refers to the photon energy.

            What I did

            The values I am using in a pandas dataframe that I kept as a list for you to copy and paste (if you want it),

            ...

            ANSWER

            Answered 2021-Mar-28 at 21:19

            Apparently the trouble is due to a non convenient criteria of fitting.

            LMSE (Least Mean Square Error) in probably implemented in your software. This is not a good choice of criteria of fitting in case of data extended on several decades.

            LMSRE (Least Mean Square Relative Error) is recommended in the case of your data.

            See below the comparison of results.

            NOTE: The expected value of about a=0.0005 is absurd compared to the range of the data from 1. to 240. This would be with no effect, just like a=0. May be a muddle in scales or units ?

            Source https://stackoverflow.com/questions/66839107

            QUESTION

            Matplotlib speed up saving plots to disk
            Asked 2021-Feb-10 at 10:06

            I want to create an animation from roughly 250 individual frames, showing data plotted as 2D images in a figure with 4 x 11 subpanels. The data represent power spectra of velocity as a function of temporal frequency and latitude. However, each frame takes about 4 seconds to create and save, including run-time computation of the data. In the non-interactive plotting mode, I use 'agg' as the backend to avoid time spent for interactivity plotting features.

            The speed bottleneck here is not the computation of the data to plot, but saving the plots to disk. Example run-times for random data (see code below) and only 5 frames without saving the plots are sth. like 5 seconds, with saving the plots 17-19 seconds. For the actual data I use, there are some more plot artists to be drawn (text on panels, an additional line plot etc.), but the script execution time is quite similar. For the about 250 frames in total, this indicates roughly 900 seconds, thus 15 minutes to compute the data and then save the plots. However, since I likely want to generate similar frames several times or with slightly different data, it would be good to decrease this script execution time.

            A (hopefully) reproducible code, using random data, but with data sizes equal to the actual data I use, is given below. An example frame (the first one generated by the code) can also be found below. In the code, the function create_fig() generates a figure with subpanels containing dummy data and in the for-loop over the different frames, only the data in the subpanels is replaced.

            Is there a way to speed-up saving the plots into the png files? Any help is much appreciated!

            ...

            ANSWER

            Answered 2021-Feb-09 at 16:57

            I will give you some tips, but can be not a solution:

            • You are doing the rigth thing to run over the matrix, but check if can maximize the cache transposing your matrix (when you have a very tall and narrow case)

            • Have your heard about of sparse-matrix or matrix compressing techniques?

            • do the stuff that you need to do when i<1 outside of the for loop - you will save 1 comparison if you take out that

            • can you use parallel computation? like Omp for python?

            Source https://stackoverflow.com/questions/66123211

            QUESTION

            Pexpect inserts '/r/n' into sendline()
            Asked 2021-Jan-27 at 10:56

            I am using pexpect to automate running a C program in a zsh terminal on Ubuntu 20.04. The program in question is a spectrum convertor: http://www.np.ph.bham.ac.uk/research_resources/programs/spec_conv/spec_conv.c

            I have this installed and in my path. I can not run 'spec_conv' in my terminal and the program runs correctly.

            When the program starts there is an initial set of options (0-9). I need to choose 5. The second option I click 'Y'. The program then asks for a file name. I have a file called 'file_list' which I type into the terminal and the spectrum is processed as expected.

            I am trying to automate this with python. My code so far is:

            ...

            ANSWER

            Answered 2021-Jan-26 at 21:10

            If you were to run the spawned program manually, you should be able to see that when you reply to the y/n question you only need to type y and the answer is taken immediately without the need for a carriage return.

            So you need to send a single character, and not use sendline() which adds a newline to the sent string. Replace

            Source https://stackoverflow.com/questions/65908640

            QUESTION

            Splitting strings into components
            Asked 2021-Jan-04 at 01:42

            For example, I have a data table with several columns:

            ...

            ANSWER

            Answered 2021-Jan-04 at 01:42

            You can use separate which uses non-letters and separates the string into columns defined in into

            Source https://stackoverflow.com/questions/65556415

            QUESTION

            Use total irradiance to calculate UV index
            Asked 2020-Dec-02 at 21:38

            I am using pvlib to calculate diffuse and direct incoming solar radiation at the surface and this works well. I account for clouds, albedo, sea-ice etc. when calculating the total incoming shortwave radiation at the surface.

            ...

            ANSWER

            Answered 2020-Dec-02 at 16:26

            I don't recognize a conceptual error. What do you get when you integrate the spectral direct irradiance? I'd expect to recover the sw_dr broadband value. Something to check. The line of code that calculates uvi looks odd. sw_dr from total_irrad is a Series, sw_dr(λ[280:400]) indicates that sw_dr is a function.

            Source https://stackoverflow.com/questions/65111670

            QUESTION

            Continuum Fitting with Python using specutils
            Asked 2020-Nov-22 at 11:17

            it's my first time processing spectra from a black body radiation experiment, I'm using Python and having some troubles... I have this spectra with 2 peaks and uneven background noise which I want to normalize, I tried using specutils 1.1 "continuum-fitting" (documentation here: https://specutils.readthedocs.io/en/stable/fitting.html#continuum-fitting )

            My implementation is this:

            ...

            ANSWER

            Answered 2020-Nov-22 at 11:17

            At the end I settled on using a median filter from scipy (medfilt) and with a high enough kernel it removed the spikes completely.

            The problem on my specutils implementation was that I needed to exclude the peaks in the spectrum window by doing this, althought I found this too hard to implement on 100-120 data measurement I had:

            Source https://stackoverflow.com/questions/64918467

            QUESTION

            How to Cluster Infrared Spectroscopy Data with Python
            Asked 2020-Nov-09 at 21:14

            I have been looking at clustering infrared spectroscopy data with the sklearn clustering methods. I am having trouble getting the clustering to work with the data, since I'm new to this I don't know if the way I'm coding it is wrong or my approach is wrong.

            My data, in Pandas DataFrame format, looks like this:

            ...

            ANSWER

            Answered 2020-Nov-08 at 18:12

            First, transpose your dataframe, so that you have the datapoints as rows as is the standard. It should look like this:

            Source https://stackoverflow.com/questions/64710048

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

            Vulnerabilities

            ** DISPUTED ** Sectona Spectra before 3.4.0 has a vulnerable SOAP API endpoint that leaks sensitive information about the configured assets without proper authentication. This could be used by unauthorized parties to get configured login credentials of the assets via a modified pAccountID value. NOTE: The vendor has indicated this is not a vulnerability and states "This vulnerability occurred due to wrong configuration of system."
            The Remote Access Service invoke.cfm template in Allaire Spectra 1.0 allows users to bypass authentication via the bAuthenticated parameter.
            Vulnerability in an administrative interface utility for Allaire Spectra 1.0.1 allows remote attackers to read and modify sensitive configuration information.
            The Allaire Spectra container editor preview tool does not properly enforce object security, which allows an attacker to conduct unauthorized activities via an object-method that is added to the container object with a publishing rule.
            The Allaire Spectra Configuration Wizard allows remote attackers to cause a denial of service by repeatedly resubmitting data collections for indexing via a URL.
            The Allaire Spectra Webtop allows authenticated users to access other Webtop sections by specifying explicit URLs.

            Install Spectra

            You can download it from GitHub.
            You can use Spectra like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the Spectra component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

            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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            https://github.com/jagrosh/Spectra.git

          • CLI

            gh repo clone jagrosh/Spectra

          • sshUrl

            git@github.com:jagrosh/Spectra.git

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