Distill | Just another python web framework | Web Framework library

 by   Dreae Python Version: Current License: MIT

kandi X-RAY | Distill Summary

kandi X-RAY | Distill Summary

Distill is a Python library typically used in Server, Web Framework, Framework applications. Distill has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install Distill' or download it from GitHub, PyPI.

Distill
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            kandi-support Support

              Distill has a low active ecosystem.
              It has 4 star(s) with 1 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              Distill has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Distill is current.

            kandi-Quality Quality

              Distill has no bugs reported.

            kandi-Security Security

              Distill has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              Distill 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

              Distill releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Distill and discovered the below as its top functions. This is intended to give you an instant insight into Distill implemented functionality, and help decide if they suit your requirements.
            • Parse a query string
            • Decode a URI
            • Return a list of WSGI headers
            • Return a list of items
            • Create a render factory
            • Register a renderer
            • Return cookies as a dict
            • Return the value associated with key
            • Return response body as JSON
            • Convert string to unicode
            • Return headers as a dict
            • Location
            Get all kandi verified functions for this library.

            Distill Key Features

            No Key Features are available at this moment for Distill.

            Distill Examples and Code Snippets

            No Code Snippets are available at this moment for Distill.

            Community Discussions

            QUESTION

            Why is x not initialized in this?
            Asked 2021-Jun-12 at 15:36

            Why is x not initialized in the following ?

            ...

            ANSWER

            Answered 2021-Jun-12 at 14:04

            The compiler can't easily detect all branches lead to x being initialized, but you can fix that (and the code) pretty easily by assigning -1 to x to begin with. Something like

            Source https://stackoverflow.com/questions/67949556

            QUESTION

            Custom loss function with regularization cost added in TensorFlow
            Asked 2021-Jun-10 at 11:35

            I wrote a custom loss function that add the regularization loss to the total loss, I added L2 regularizer to kernels only, but when I called model.fit() a warning appeared which states that the gradients does not exist for those biases, and biases are not updated, also if I remove a regularizer from a kernel of one of the layers, the gradient for that kernel also does not exist.

            I tried to add bias regularizer to each layer and everything worked correctly, but I don't want to regularize the biases, so what should I do?

            Here is my loss function:

            ...

            ANSWER

            Answered 2021-Jun-10 at 11:35

            In keras, loss function should return the loss value without regularization losses. The regularization losses will be added automatically by setting kernel_regularizer or bias_regularizer in each of the keras layers.

            In other words, when you write your custom loss function, you don't have to care about regularization losses.

            Edit: the reason why you got the warning messages that gradients don't exist is because of the usage of numpy() in your loss function. numpy() will stop any gradient propagation.

            The warning messages disappeared after you added regularizers to the layers do not imply that the gradients were then computed correctly. It would only include the gradients from the regularizers but not from the data. numpy() should be removed in the loss function in order to get the correct gradients.

            One of the solutions is to keep everything in tensors and use tf.math library. e.g. use tf.pow to replace np.float_power and tf.reduce_sum to replace np.sum

            Source https://stackoverflow.com/questions/67912239

            QUESTION

            Variadic templated container passing reference to contained items
            Asked 2021-Jun-10 at 01:54

            I'm trying to create a variadic templated container that will contain items that have a reference back to the container. Unfortunately I can't quite figure out how to declare the container. It's a bit of a chicken and egg problem. The Items are templated on the Container, but the Container is also templated on the Items.

            I've tried to distill down the relevant code below. It complains that "CollectionA" isn't declared.

            How can I make this work?

            ...

            ANSWER

            Answered 2021-Jun-09 at 23:35

            This should do the job.

            Source https://stackoverflow.com/questions/67910093

            QUESTION

            Could not find a package configuration file provided by "Leptonica"
            Asked 2021-Jun-07 at 18:55

            I am trying to generate a visual studio 2019 C++ project from the tesseract 4.1.1 source code. Ultimately, I want to include a tesseract C++ project in my custom solution that consumes OCR results.

            When I follow these steps:

            1. Download and extract tesseract code https://github.com/tesseract-ocr/tesseract/archive/refs/tags/4.1.1.zip to "C:\tesseract" directory.
            2. Execute the following commands in a Developer Command Prompt for VS 2019:

            C:\Windows\System32>cd "C:\tesseract"
            C:\tesseract>mkdir build
            C:\tesseract>cd build
            C:\tesseract\build>cmake ..

            I receive this error:

            ...

            ANSWER

            Answered 2021-Jun-05 at 07:13

            There are several tutorial how to build tesseract on windows with cmake and VS e.g. https://bucket401.blogspot.com/2021/03/building-tesserocr-on-ms-windows-64bit.html (you can ignore end of tutorial - python module), minimalist tesseract or with clang

            Source https://stackoverflow.com/questions/67839925

            QUESTION

            Serve RMarkdown outputs without version controlling them
            Asked 2021-Jun-01 at 15:59

            We frequently use RMarkdown based packages to create websites with R (bookdown, blogdown, distill...) and use github-pages to serve the html files via the url username.github.io/repo.

            In this approach, the ouput (i.e. html / css) files are also version controlled, and are frequently included in commits by mistake (git commit -a). This is annoying since these files clutter the commit and often lead to fictitious files conflicts.

            Ideally, the outputfiles would not be version controlled at all, since the binary files (images) additionally bloat the repo. So I'm looking for a solution where:

            • Git ignores the output files completely but provides an alternative (but comparable1) method to gh-pages to serve them
            • Git ignores the output files temporally and committing / pushing them to gh-pages is done in a separate, explicit command

            1: The method should be command line based and provide a nice URL to access the website

            ...

            ANSWER

            Answered 2021-May-25 at 14:11

            You could have .html, .css etc. ignored in the main and all other branches but the branch, for example, the gh-page branch, where your github-page is built from.

            Git does not support different .ignore files in different branches so you would have to set up a bash script that replaces the ignore file each time you checkout a new branch. See here for how to do that: https://gist.github.com/wizioo/c89847c7894ede628071

            Maybe not the elegant solution you were hoping for but it should work.

            Source https://stackoverflow.com/questions/67664158

            QUESTION

            Are these normal speed of Bert Pretrained Model Inference in PyTorch
            Asked 2021-May-26 at 23:43

            I am testing Bert base and Bert distilled model in Huggingface with 4 scenarios of speeds, batch_size = 1:

            ...

            ANSWER

            Answered 2021-May-26 at 20:38

            No, you can speed it up.

            First, why are you testing it with batch size 1?

            Both tokenizer and model accept batched inputs. Basically, you can pass a 2D array/list that contains a single sample at each row. See the documentation for tokenizer: https://huggingface.co/transformers/main_classes/tokenizer.html#transformers.PreTrainedTokenizer.__call__ The same applies for the models.

            Also, your for loop is sequential even if you use batch size larger than 1. You can create a test data and then use Trainer class with trainer.predict()

            Also see this discussion of mine at the HF forums: https://discuss.huggingface.co/t/urgent-trainer-predict-and-model-generate-creates-totally-different-predictions/3426

            Source https://stackoverflow.com/questions/67699354

            QUESTION

            Broken XMonad (Dependencies) after Pacman Update (How to compile it with Stack?)
            Asked 2021-May-26 at 17:50

            This question is the distilled solution of what others have helped me solved. The discussion can be found on this issue and this r/xmonad post.

            I'm using Artix mainly with Pacman as a package manager. Today, after about a week, I've upgraded many packages and it ended up breaking XMonad.

            This is the message I get from xmonad --recompile -v:

            ...

            ANSWER

            Answered 2021-May-26 at 17:50

            I've finally made it work. The guys from the XMonad repo really helped, you can check out their help in this issue.

            Roughly, what I did was:

            1. Delete everything Haskell-related from my system.
              • Do this one carefully, use a lot of finds with the words haskell, stack, ghc, cabal, etc. Don't forget to use pacman -Rns and pacman -Q to uninstall everything that come from there first.
              • As some other users mentioned, you should absolutely not manage Haskell packages with both Pacman/AUR and Stack/Cabal. Choose one system and stick to it. Stack is probably the recommended one.
            2. Install Stack directly with the script on its documentation.
            3. Install GHC, XMonad, and XMonad-Contrib through Stack.
            4. Create a build script for compiling XMonad with Stack:

            Source https://stackoverflow.com/questions/67710115

            QUESTION

            WPF application doesn't draw correctly when another application is running in fullscreen
            Asked 2021-May-17 at 07:21

            My application is a bit more complicated than the following, but I've distilled the problem to a simple case.

            I have a textbox bound to an object's property. The binding works fine when working from inside the app.

            My application runs a TCP server in another thread that receives messages from a mod I've created for a game (the game is Binding of Isaac, if that's any help). The mod sends messages to my application when the user presses a key in-game. When the server receives a message, it invokes a change in the bound property through the app's dispatcher, like so:

            ...

            ANSWER

            Answered 2021-May-17 at 07:21

            Likely a driver problem. Try disabling hardware acceleration on startup:

            Source https://stackoverflow.com/questions/67563951

            QUESTION

            floating toc in distill for R
            Asked 2021-May-05 at 15:29

            A floating TOC is not available for R's {distill} package. See feature requests for it on GH here and here.

            A minimal example of a distill article is below:

            ...

            ANSWER

            Answered 2021-Apr-29 at 18:47

            The documentation says that the toc floats automatically. It's not working for me though (Firefox).

            Explicitly setting toc_float: true also does not help. Compared to toc_float: false it moves the toc over to the left but it is not floating for me in Firefox.

            Source https://stackoverflow.com/questions/67323162

            QUESTION

            How do I link a udpsrc to rtpbin in Gstreamer Rust?
            Asked 2021-Apr-21 at 02:41

            I've attempted to create a pipeline for receiving RTP video/audio streams via Gstreamer using the gstreamer-rs crate, but I am not having much luck. Here is a quick distillation of my approach:

            ...

            ANSWER

            Answered 2021-Apr-15 at 07:12

            You're not specifying to which pad of the rtpbin you're linking your udpsrc, so it probably selects the wrong one here (maybe the one for a sender-rtpbin).

            Try with udp_src.link_pads(Some("src"), &rtpbin, Some("recv_rtp_sink_%u")) instead. Then you should get a pad-added with a "recv_rtp_src_%u_%u_%u" name. The first number will be 0, the other two will be payload type and the ssrc.

            Source https://stackoverflow.com/questions/67085487

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

            Vulnerabilities

            No vulnerabilities reported

            Install Distill

            You can install using 'pip install Distill' or download it from GitHub, PyPI.
            You can use Distill 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

            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/Dreae/Distill.git

          • CLI

            gh repo clone Dreae/Distill

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            git@github.com:Dreae/Distill.git

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