Hot | macOS menu bar application that displays the CPU speed

 by   macmade Swift Version: 1.9.1 License: MIT

kandi X-RAY | Hot Summary

kandi X-RAY | Hot Summary

Hot is a Swift library. Hot has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

Hot is macOS menu bar application that displays the CPU speed limit due to thermal issues.
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            kandi-support Support

              Hot has a medium active ecosystem.
              It has 1494 star(s) with 51 fork(s). There are 15 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 4 open issues and 53 have been closed. On average issues are closed in 112 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Hot is 1.9.1

            kandi-Quality Quality

              Hot has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              Hot 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

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

            Top functions reviewed by kandi - BETA

            kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Hot
            Get all kandi verified functions for this library.

            Hot Key Features

            No Key Features are available at this moment for Hot.

            Hot Examples and Code Snippets

            Hot reload
            pypidot img1Lines of Code : 1dot img1no licencesLicense : No License
            copy iconCopy
            itchat.auto_login(hotReload=True)
            
              
            Calculate one - hot index .
            pythondot img2Lines of Code : 159dot img2License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def one_hot(indices,
                        depth,
                        on_value=None,
                        off_value=None,
                        axis=None,
                        dtype=None,
                        name=None):
              """Returns a one-hot tensor.
            
              See also `tf.fill`, `tf.eye`.
            
              The locations rep  
            Compute one - hot tensor .
            pythondot img3Lines of Code : 23dot img3License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def ragged_one_hot(indices: ragged_tensor.Ragged,
                               depth,
                               on_value=None,
                               off_value=None,
                               axis=None,
                               dtype=None,
                               name=None):
              """Applies   
            One hot encode indices .
            pythondot img4Lines of Code : 16dot img4License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def one_hot(indices, num_classes):
              """Computes the one-hot representation of an integer tensor.
            
              Args:
                  indices: nD integer tensor of shape
                      `(batch_size, dim1, dim2, ... dim(n-1))`
                  num_classes: Integer, number of classes to c  

            Community Discussions

            QUESTION

            Disabling Hot Reload for .NET Core project in Visual Studio 2019
            Asked 2022-Mar-31 at 22:10

            Some time ago, a Visual Studio update added a hot reload feature. It be handy, but it also can be annoying especially when you're testing and you don't want to reset the current state of the front end. Visual Studio injects the script whether you're debugging or not.

            How can hot reload be disabled? My Visual Studio version is 16.10.3

            https://devblogs.microsoft.com/visualstudio/speed-up-your-dotnet-and-cplusplus-development-with-hot-reload-in-visual-studio-2022/

            ...

            ANSWER

            Answered 2021-Aug-27 at 14:23

            You can change this feature here:

            Tools > Options > Projects and Solutions > ASP.NET Core > Auto build and refresh option

            Options to automatically build and refresh the browser if the web server is running when changes are made to the project.

            Your options in this dropdown are the following:

            1. None
            2. Auto build on browser request (IIS only)
            3. Refresh browser after build
            4. Auto build and refresh browser after saving changes

            Also note my version of VS is 16.11.1.

            Source https://stackoverflow.com/questions/68952259

            QUESTION

            Unable to use Hot Reload while debugging Blazor WASM (Aspnet hosted)
            Asked 2022-Mar-02 at 17:39

            If I create a new Blazor WASM app, out of the box I can use Hot Reload by running dotnet watch run in a terminal window. This will launch a browser window, and any changes I make will update in the browser automatically.

            However, if I start my app in Visual Studio with the debugger attached (F5), I don't get any hot reload functionality. When I make a change, Visual Studio shows a message in the bottom left that says Code Changes were applied successfully, but the browser does not refresh. If I refresh the browser manually, I still do not see my changes.

            I have "Hot Reload on Save" checked. Pressing the new Hot Reload button doesn't seem to do anything.

            The browser refresh script is injected into my html.

            I am using Visual Studio 2022 Version 17.0.0 Preview 7.0, and dotnet 6 RC 2 (6.0.0-rc.2.21480.10).

            Is it not possible to use Hot Reload while debugging a Blazor WASM app, or am I missing something?

            ...

            ANSWER

            Answered 2022-Mar-02 at 17:39
            Update

            This bug has been fixed as of version 17.1 of Visual Studio 2022.

            Posterity

            This feature is currently unsupported when using the debugger in WebAssembly apps. According to Microsoft:

            *In Visual Studio 2022 GA release Hot Reload support for Blazor WebAssembly when using the Visual Studio debugger isn’t enabled yet. You can still get Hot Reload If you start your app through Visual Studio without the debugger, and we are working to resolve this in the next Visual Studio update.

            According to Microsoft, this will be fixed in the 17.1 release of VS 2022.

            The fix will be included in the 17.1 release.

            The latest preview version of Visual Studio 2022 (17.1.0 Preview 2 released Jan 5, 2022) contains the fix for this. I tested this personally and verified it's working. Note that you will still need to wait for 17.1 if you don't want to use the preview channel.

            Source https://stackoverflow.com/questions/69826401

            QUESTION

            Error: Cannot find module 'webpack/lib/rules/DescriptionDataMatcherRulePlugin' Require stack:
            Asked 2022-Feb-26 at 09:58

            I have webpack-cli installed on my laravel project. I don't know why first of all we need it to run my vue app but this is causing an error:

            When I run npm run dev or npm run hot

            ...

            ANSWER

            Answered 2021-Dec-20 at 09:04

            You need to update your vue-loader

            Source https://stackoverflow.com/questions/69631437

            QUESTION

            What is the hot flow and cold flow in coroutines and the difference between them?
            Asked 2022-Feb-26 at 04:09

            I am mastering Kotlin coroutines and trying to figure out

            1- what is hot flow and cold flow ?

            2- what is the main difference between them?

            3- when to use each one?

            ...

            ANSWER

            Answered 2022-Feb-26 at 04:09

            A cold stream does not start producing values until one starts to collect them. A hot stream on the other hand starts producing values immediately.

            I would recommend to read below to understand hot and cold steams with usage:

            https://balwindersinghrajput.medium.com/complete-guide-to-livedata-and-flow-answering-why-where-when-and-which-6b31496ba7f3

            https://developer.android.com/kotlin/flow/stateflow-and-sharedflow

            Source https://stackoverflow.com/questions/69297362

            QUESTION

            Firebase currentUser and onAuthStateChanged
            Asked 2022-Feb-10 at 05:56

            I am developing an app using react native, every time I refresh the app on the emulator in onAuthStateChanged and currentUser from firebase I get null.

            I have read about waiting onAuthStateChanged to get a status update but I never do, so I guess I misconfigured something.

            I am using expo 44, react 17, firebase 9.6.5 but in compat mode (planning in fully migrate later)

            My first attempt of solution was trying to add persistence: firebase.auth().setPersistence(firebase.auth.Auth.Persistence.LOCAL);

            ...

            ANSWER

            Answered 2022-Feb-10 at 05:56

            I had this exact same issue. I solved it by adding "firebase": "^8.9.1" to package.json, running yarn install and changing the import import firebase from "firebase" (remove all the other imports you have). Apparently selective imports have a bug in v8, but at least it works well :)

            Source https://stackoverflow.com/questions/71054770

            QUESTION

            Hot reload in Visual Sstudio 2022 Current not working for existing Blazor application
            Asked 2022-Feb-03 at 19:19

            After using VS 2022 preview for several iterations I removed it and installed VS 2022 Current when it became available.

            Existing Blazor hosted application does not Hot reload on file save or on pressing Hot reload button. It was reloading "fine" in preview versions. It does not matter if I run it with or without debugging.

            New application created with newly installed version does Hot reload.

            I don't see any important difference in *.csproj or launchSettings.json files. They both target net6.0. I also removed .vs directory and cleaned solution.

            Only difference there is is that my projects are using Program.cs and Startup.cs vs only Program.cs in new application template, but that does not matter. Or, does it?

            What is preventing Visual Studio from Hot reloading existing application?

            UPDATE

            Switching to single Program.cs and WebApplication builder did help somewhat. Now hot reload works without debugging. With debugging VS says it applied changes but they are not applied on screen.

            Still I would like to know why is this change necessary and how to enable Hot reload while debugging?

            ...

            ANSWER

            Answered 2021-Nov-23 at 21:55

            For your issue, currently Blazor WebAssembly only supports hot reload when not debugging. This is kind of documented here: https://docs.microsoft.com/en-us/aspnet/core/test/hot-reload?view=aspnetcore-6.0

            In Visual Studio 2022 GA (17.0), Hot Reload is only supported when running without the debugger.

            I found your Q while trying to diagnose why my own existing Blazor WebAssembly ASP.Net Core hosted app wouldn't hot reload and after 4-5 hours of trying all sorts of things I finally found that there was a project reference to a class library that still targeted .NET 5. In my case this reference was no longer required, removing it fixed my issues and my Hot Reload output once again showed.

            Source https://stackoverflow.com/questions/69950113

            QUESTION

            process is not defined on hot reload
            Asked 2022-Feb-02 at 19:03

            I have a react app made with create react app, and hot reloading kills the page entirely with the error:

            ...

            ANSWER

            Answered 2021-Dec-15 at 22:41

            I fixed it. I did 2 things:

            • Updated npm to latest
            • Updated react-scripts to latest

            Not sure which one fixed it.

            Source https://stackoverflow.com/questions/70357360

            QUESTION

            Rust compiler not optimising lzcnt? (and similar functions)
            Asked 2021-Dec-26 at 01:56
            What was done:

            This follows as a result of experimenting on Compiler Explorer as to ascertain the compiler's (rustc's) behaviour when it comes to the log2()/leading_zeros() and similar functions. I came across this result with seems exceedingly both bizarre and concerning:

            Compiler Explorer link

            Code:

            ...

            ANSWER

            Answered 2021-Dec-26 at 01:56

            Old x86-64 CPUs don't support lzcnt, so rustc/llvm won't emit it by default. (They would execute it as bsr but the behavior is not identical.)

            Use -C target-feature=+lzcnt to enable it. Try.

            More generally, you may wish to use -C target-cpu=XXX to enable all the features of a specific CPU model. Use rustc --print target-cpus for a list.

            In particular, -C target-cpu=native will generate code for the CPU that rustc itself is running on, e.g. if you will run the code on the same machine where you are compiling it.

            Source https://stackoverflow.com/questions/70481312

            QUESTION

            Is it possible to use a collection of hyperspectral 1x1 pixels in a CNN model purposed for more conventional datasets (CIFAR-10/MNIST)?
            Asked 2021-Dec-17 at 09:08

            I have created a working CNN model in Keras/Tensorflow, and have successfully used the CIFAR-10 & MNIST datasets to test this model. The functioning code as seen below:

            ...

            ANSWER

            Answered 2021-Dec-16 at 10:18

            If the hyperspectral dataset is given to you as a large image with many channels, I suppose that the classification of each pixel should depend on the pixels around it (otherwise I would not format the data as an image, i.e. without grid structure). Given this assumption, breaking up the input picture into 1x1 parts is not a good idea as you are loosing the grid structure.

            I further suppose that the order of the channels is arbitrary, which implies that convolution over the channels is probably not meaningful (which you however did not plan to do anyways).

            Instead of reformatting the data the way you did, you may want to create a model that takes an image as input and also outputs an "image" containing the classifications for each pixel. I.e. if you have 10 classes and take a (145, 145, 200) image as input, your model would output a (145, 145, 10) image. In that architecture you would not have any fully-connected layers. Your output layer would also be a convolutional layer.

            That however means that you will not be able to keep your current architecture. That is because the tasks for MNIST/CIFAR10 and your hyperspectral dataset are not the same. For MNIST/CIFAR10 you want to classify an image in it's entirety, while for the other dataset you want to assign a class to each pixel (while most likely also using the pixels around each pixel).

            Some further ideas:

            • If you want to turn the pixel classification task on the hyperspectral dataset into a classification task for an entire image, maybe you can reformulate that task as "classifying a hyperspectral image as the class of it's center (or top-left, or bottom-right, or (21th, 104th), or whatever) pixel". To obtain the data from your single hyperspectral image, for each pixel, I would shift the image such that the target pixel is at the desired location (e.g. the center). All pixels that "fall off" the border could be inserted at the other side of the image.
            • If you want to stick with a pixel classification task but need more data, maybe split up the single hyperspectral image you have into many smaller images (e.g. 10x10x200). You may even want to use images of many different sizes. If you model only has convolution and pooling layers and you make sure to maintain the sizes of the image, that should work out.

            Source https://stackoverflow.com/questions/70226626

            QUESTION

            ValueError after attempting to use OneHotEncoder and then normalize values with make_column_transformer
            Asked 2021-Dec-09 at 20:59

            So I was trying to convert my data's timestamps from Unix timestamps to a more readable date format. I created a simple Java program to do so and write to a .csv file, and that went smoothly. I tried using it for my model by one-hot encoding it into numbers and then turning everything into normalized data. However, after my attempt to one-hot encode (which I am not sure if it even worked), my normalization process using make_column_transformer failed.

            ...

            ANSWER

            Answered 2021-Dec-09 at 20:59

            using OneHotEncoder is not the way to go here, it's better to extract the features from the column time as separate features like year, month, day, hour, minutes etc... and give these columns as input to your model.

            Source https://stackoverflow.com/questions/70118623

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            No vulnerabilities reported

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            You can download it from GitHub.

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