jet | Jet template engine

 by   CloudyKit Go Version: v6.2.0 License: Apache-2.0

kandi X-RAY | jet Summary

kandi X-RAY | jet Summary

jet is a Go library typically used in Template Engine applications. jet has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

Jet is a template engine developed to be easy to use, powerful, dynamic, yet secure and very fast.
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              jet has a medium active ecosystem.
              It has 1048 star(s) with 98 fork(s). There are 24 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 18 open issues and 115 have been closed. On average issues are closed in 156 days. There are 4 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of jet is v6.2.0

            kandi-Quality Quality

              jet has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              jet 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

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

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            jet Key Features

            No Key Features are available at this moment for jet.

            jet Examples and Code Snippets

            No Code Snippets are available at this moment for jet.

            Community Discussions

            QUESTION

            Default colormap in Matplotlib
            Asked 2022-Apr-04 at 18:49

            While working with the matplotlib, when I got to the colormap, I realized that the default colormap is jet colormap, but I heard that this choice is not very good. Can someone tell me the reason or is there a reason that this was chosen by default?

            ...

            ANSWER

            Answered 2022-Apr-04 at 18:39

            The current default colormap is 'Viridis'. For an introduction to color theory and how 'viridis' was generated watch Nathaniel Smith and Stéfan van der Walt's talk from SciPy2015. Watch: https://www.youtube.com/watch?v=xAoljeRJ3lU&t=2s

            Source https://stackoverflow.com/questions/71742116

            QUESTION

            Saving multiple images as buffers/memory streams to the same table at the same time
            Asked 2022-Apr-01 at 18:37

            I'm relatively new to coding and entirely self taught, so please have patience with me.
            I've been scouring the internet for an answer to this, but everything I've found is either waaaaaaayyy too technical and looks like ancient greek, or doesn't even apply to my situation.

            I'm developing an app for work for my managers to record employee information. The page I'm currently working on is for injuries, however this will apply to multiple pages if I can figure it out. I know I'm probably over-complicating something and it's going to be a stupid answer but I've tried everything I can think of so far.

            What I'm trying to do is capture handwritten notes as images and then save them to a database for us in the office to type up and translate if needed. (a lot of my managers don't type) but this would apply to collecting multiple signatures as well i.e. on write ups.

            I've got the images saved, but when it comes time to write them to the database, the first image will write just fine, but the second one I start getting the "Data type mismatch in the criteria expression" error.

            I've tried isolating the 2nd and third images to see if it's a syntax issue, but I still get the error. I've rebuilt the database table to make sure the destination field is an OLE object, same error. I've been searching for a few days now for the answer and I'm not finding it, so if someone can please help.

            I know it's going to be something silly like not disposing of something in the right place, but that is beyond my current knowledge. Thank you in advance for any help.

            ...

            ANSWER

            Answered 2022-Mar-30 at 18:40

            Some entities use "unmanaged resources" which need to be explicitly taken care of by calling Dispose() on them. There is a way to have that happen automatically for you: the Using statement.

            As it happens, both database connections (e.g. OleDbConnection) and the Image type are such entities.

            Here is an example of how you could modify your code:

            Source https://stackoverflow.com/questions/71666016

            QUESTION

            Cannot plot inline plotly charts in Jupyter Notebook using C#
            Asked 2022-Mar-15 at 15:44

            Hello I am trying to plot a chart in Jupyter Notebook. I have been following this tutorial.

            I am using the following nuget packages to read a data and then plot it using plotly

            So I have this block of code which produces a scatter plot,

            ...

            ANSWER

            Answered 2021-Sep-21 at 21:31

            I was able to show the plot using latest XPlot version and interactive (XPlot.Plotly.Interactive) package :

            Source https://stackoverflow.com/questions/69274792

            QUESTION

            How to change contour color to white outside contour range using plotly?
            Asked 2022-Jan-19 at 20:21

            I am using below to plot contour, I’d like to set color the white(not shown) if value is outside contour range like below z_min. For my plot, everything below z_min is still same color of blue color as zmin. I saw it is working from the below website example after setting start=, end= inside contour=dict(). Thanks for your help.

            https://plotly.com/python/contour-plots/

            ...

            ANSWER

            Answered 2022-Jan-19 at 20:21

            At the moment I can't think of any direct way to make the contour white.

            One possible solution could be to replace any values outside of the contour range in your array with np.nan before passing the array to the parameter z in go.Contour.

            The NaN values in the array won't render and will appear transparent, meaning the tickmark lines and background can be seen. Then you can set the paper and plot background to be white so that the NaN values appear white.

            Here is an example of how that can be accomplished. The larger the dimensions of the array you are plotting, the smoother the contours will be. In this 101 x 101 array, the change from the contour to the white background is not perfect, but pretty smooth.

            Source https://stackoverflow.com/questions/70760974

            QUESTION

            (python) How to fit the frame to the plot
            Asked 2022-Jan-03 at 08:59

            I used the following codes (related to my question)

            ...

            ANSWER

            Answered 2022-Jan-03 at 08:59

            you can change this line:

            Source https://stackoverflow.com/questions/70562629

            QUESTION

            Clustering in R using K-mean
            Asked 2021-Dec-17 at 17:31

            I tried to cluster my dataset using K-mean, but there is a categorical data in column 9; so when I ran k-mean it had an error like this:

            ...

            ANSWER

            Answered 2021-Dec-17 at 17:31

            To solve your specific issue, you can generate dummy variables to run your desired clustering.

            One way to do it is using the dummy_columns() function from the fastDummies package.

            Source https://stackoverflow.com/questions/70364971

            QUESTION

            EPIC FHIR SMART Backend Services: { "error": "invalid_client", "error_description": null }
            Asked 2021-Nov-24 at 08:41

            I'm trying to implement the EPIC FHIR SMART Backend Services (Backend OAuth 2.0) on go programming language.

            I've created my dev account, uploaded the public key there, and selecting the backend system as the application audience.

            I'm pretty sure my jwt token is correct. I've inspected it on jwt.io, the signature is correct. However, I always get this error:

            { "error": "invalid_client", "error_description": null }

            I've tried other possible solutions as well such as:

            • ensuring the expiration date within the jet claim is below 5 minutes
            • placing the payload in the body with the correct content type, which is application/x-www-form-urlencoded
            • ensuring to use the sandbox client_id
            • using the correct jwt sign in method (RS384)

            What should I do to resolve this issue?

            Btw, I also saw several discussions on the google groups saying that it's worth to wait for one or two days after the dev account is created.

            Below is my code. Appreciate the help!

            ...

            ANSWER

            Answered 2021-Sep-27 at 15:04

            Fantastic, I got it working now.

            The solution is simply waiting! it was confusing because I can't find any explanation about this on the doc, and also the error message isn't user-friendly.

            in summary, after the dev app is created, and the public key is uploaded there, we have to wait for a few hours/days, and then the credentials will eventually be usable.

            The waiting part is applied to both open epic and app orchard dev accounts.

            Source https://stackoverflow.com/questions/69121502

            QUESTION

            Phase portrait of Verhulst equation
            Asked 2021-Nov-11 at 18:31

            I was trying to an example of the book -"Dynamical Systems with Applications using Python" and I was asked to plot the phase portrait of Verhulst equation, then I came across this post: How to plot a phase portrait of Verhulst equation with SciPy (or SymPy) and Matplotlib?

            I'm getting the same plot as the user on the previous post. Whenever, I try to use the accepted solution I get a "division by zero" error. Why doesn't the accepted solution in How to plot a phase portrait of Verhulst equation with SciPy (or SymPy) and Matplotlib? works?

            Thank you very much for you help!

            Edit:

            Using the code from the previous post and the correction given by @Lutz Lehmann

            ...

            ANSWER

            Answered 2021-Nov-11 at 18:31

            With the help of @Lutz Lehmann I could rewrite the code to get want I needed.

            The solutions is something like this:

            Source https://stackoverflow.com/questions/69932132

            QUESTION

            Using jetpack Navigation component transition-animation is not working
            Asked 2021-Sep-30 at 18:24

            I am using the jetpack navigation component for the navigation of fragments, I created an anim at res directory and added this animation-transition:

            ...

            ANSWER

            Answered 2021-Sep-30 at 18:24

            findNavController().navigate(R.id.reg2Fragment)

            Here the version of the navigate(destinationId) method doesn't involve the animation as the R.id.reg2Fragment doesn't provide any information more than the destination fragment id.

            But in order to include the animation in the navigation, you need to use the navigate() method that accepts a navDirection argument which is typically the method of the generated Direction class for this particular action.

            So, as the id of the action is action_reg1Fragment2_to_reg2Fragment:

            Source https://stackoverflow.com/questions/69396539

            QUESTION

            Create 3D Streamtube plot in Plotly
            Asked 2021-Sep-27 at 18:20
            Aim

            I would like to create a 3D Streamtube Plot with Plotly.

            Here is a cross-section of the vector field in the middle of the plot to give you an idea of how it looks like:

            The final vector field should have rotational symmetry.

            My Attempt
            1. Download the data here: https://filebin.net/x6ywfuo6v4851v74
            2. Run the code bellow:

            Code:

            ...

            ANSWER

            Answered 2021-Sep-27 at 18:20

            I have rewritten my answer to reflect the history of conversation but in a disciplined manner.

            The situation is:

            Source https://stackoverflow.com/questions/68774173

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

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