c4 | šŸ”“šŸ”µ Connect Four game in JS + Canvas | Game Engine library

Ā by Ā  kenrick95 TypeScript Version: v5.0.0 License: MIT

kandi X-RAY | c4 Summary

kandi X-RAY | c4 Summary

c4 is a TypeScript library typically used in Gaming, Game Engine applications. c4 has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

c4, stands for Connect Four, is a browser game written in TypeScript and utilizes HTML’s canvas. Player is playing against an AI that uses Minimax algorithm and alpha-beta pruning. The evaluation function is hard-coded, and hence the AI may not be moving using the most optimal move.
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            kandi-support Support

              c4 has a low active ecosystem.
              It has 205 star(s) with 70 fork(s). There are 7 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 open issues and 10 have been closed. On average issues are closed in 312 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of c4 is v5.0.0

            kandi-Quality Quality

              c4 has 0 bugs and 0 code smells.

            kandi-Security Security

              c4 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              c4 code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              c4 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

              c4 releases are available to install and integrate.

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            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of c4
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            c4 Key Features

            No Key Features are available at this moment for c4.

            c4 Examples and Code Snippets

            default
            npmdot img1Lines of Code : 142dot img1no licencesLicense : No License
            copy iconCopy
             state := ExpandKey (state, 0, password)
            
            
             ctext := Encrypt_ECB (state, ctext);
            
            
            	/* Invalid data */
            	if (c1 == 255 || c2 == 255)
            		break;
            
            	*bp++ = (c1 << 2) | ((c2 & 0x30) >> 4);
            	if (bp >= buffer + len)
            		break;
            
            	c3 = CHAR64(  

            Community Discussions

            QUESTION

            List all files touched by commits in git
            Asked 2022-Mar-25 at 08:24

            How to list all the files that were "touched" somewhere between two commits? I am looking for a command similar to git diff COMMIT1..COMMIT2 --name-only but including the files that were modified and reverted later.

            For example, let's say I have a repository with a series of commits (linear history): C0<-C1<-C2<-C3<-C4. The commit C1 introduced a new file F and then the commit C3 removed it from the repository. I am looking for a command that, given C0 and C4, would tell me that somewhere in between there was a file F. Even though there is no such file in C0 and in C4. Therefore git diff wouldn't mention file F at all.

            ...

            ANSWER

            Answered 2022-Mar-25 at 08:24

            git diff ref1 ref2 takes into account only given commits, yes, but git log will find the missing steps and list files for each one, which sort will aggregate :

            Source https://stackoverflow.com/questions/70392361

            QUESTION

            Flattening 2D grid of 2D arrays into a single 2D array, in JavaScript (functionally?)
            Asked 2022-Mar-11 at 16:30

            I have a 2D array (grid) of 2D arrays (chunks) for a game I'm developing:

            ...

            ANSWER

            Answered 2022-Mar-11 at 01:38

            QUESTION

            Convolution Function Latency Bottleneck
            Asked 2022-Mar-10 at 13:57

            I have implemented a Convolutional Neural Network in C and have been studying what parts of it have the longest latency.

            Based on my research, the massive amounts of matricial multiplication required by CNNs makes running them on CPUs and even GPUs very inefficient. However, when I actually profiled my code (on an unoptimized build) I found out that something other than the multiplication itself was the bottleneck of the implementation.

            After turning on optimization (-O3 -march=native -ffast-math, gcc cross compiler), the Gprof result was the following:

            Clearly, the convolution2D function takes the largest amount of time to run, followed by the batch normalization and depthwise convolution functions.

            The convolution function in question looks like this:

            ...

            ANSWER

            Answered 2022-Mar-10 at 13:57

            Looking at the result of Cachegrind, it doesn't look like the memory is your bottleneck. The NN has to be stored in memory anyway, but if it's too large that your program's having a lot of L1 cache misses, then it's worth thinking to try to minimize L1 misses, but 1.7% of L1 (data) miss rate is not a problem.

            So you're trying to make this run fast anyway. Looking at your code, what's happening at the most inner loop is very simple (load-> multiply -> add -> store), and it doesn't have any side effect other than the final store. This kind of code is easily parallelizable, for example, by multithreading or vectorizing. I think you'll know how to make this run in multiple threads seeing that you can write code with some complexity, and you asked in comments how to manually vectorize the code.

            I will explain that part, but one thing to bear in mind is that once you choose to manually vectorize the code, it will often be tied to certain CPU architectures. Let's not consider non-AMD64 compatible CPUs like ARM. Still, you have the option of MMX, SSE, AVX, and AVX512 to choose as an extension for vectorized computation, and each extension has multiple versions. If you want maximum portability, SSE2 is a reasonable choice. SSE2 appeared with Pentium 4, and it supports 128-bit vectors. For this post I'll use AVX2, which supports 128-bit and 256-bit vectors. It runs fine on your CPU, and has reasonable portability these days, supported from Haswell (2013) and Excavator (2015).

            The pattern you're using in the inner loop is called FMA (fused multiply and add). AVX2 has an instruction for this. Have a look at this function and the compiled output.

            Source https://stackoverflow.com/questions/71401876

            QUESTION

            Input 0 of layer "model" is incompatible with the layer: expected shape=(None, 512, 512, 3), found shape=(512, 512, 3)
            Asked 2022-Mar-08 at 14:22

            I am training a Unet segmentation model for binary class. The dataset is loaded in tensorflow data pipeline. The images are in (512, 512, 3) shape, masks are in (512, 512, 1) shape. The model expects the input in (512, 512, 3) shape. But I am getting the following error. Input 0 of layer "model" is incompatible with the layer: expected shape=(None, 512, 512, 3), found shape=(512, 512, 3)

            Here are the images in metadata dataframe.

            Randomly sampling the indices to select the training and validation set

            ...

            ANSWER

            Answered 2022-Mar-08 at 13:38

            Use train_batches in model.fit and not train_images. Also, you do not need to use repeat(), which causes an infinite dataset if you do not specify how many times you want to repeat your dataset. Regarding your labels error, try rewriting your model like this:

            Source https://stackoverflow.com/questions/71395504

            QUESTION

            Pandas groupby and count numbers of item by conditions
            Asked 2022-Feb-10 at 23:31

            I have a dataframe like this:

            ...

            ANSWER

            Answered 2022-Feb-10 at 23:31

            QUESTION

            How to create a single column from multiple?
            Asked 2022-Jan-30 at 22:10

            I have df1:

            ...

            ANSWER

            Answered 2022-Jan-30 at 21:02

            If the values are "NULL", then we can select the columns of interest, convert to long format with pivot_longer and filter out the "NULL" elements

            Source https://stackoverflow.com/questions/70918854

            QUESTION

            ERROR: Could not build wheels for pycairo, which is required to install pyproject.toml-based projects
            Asked 2022-Jan-28 at 03:50

            Error while installing manimce, I have been trying to install manimce library on windows subsystem for linux and after running

            ...

            ANSWER

            Answered 2022-Jan-28 at 02:24
            apt-get install sox ffmpeg libcairo2 libcairo2-dev
            apt-get install texlive-full
            pip3 install manimlib  # or pip install manimlib
            

            Source https://stackoverflow.com/questions/70508775

            QUESTION

            Make the distance between neighbor notes the same (Theremin like app)
            Asked 2021-Dec-24 at 13:44

            I'm making a Theremin-like app in Unity (C#).

            I have horizontal Axis X, on which I can click (with a mouse or with a finger on a smartphone). This X-axis determines the frequency, which will be played. The user will specify the frequency range of the board (X-Axis), let's say from frequency 261.63 (note C4) to 523.25 (note C5).

            I'll calculate x_position_ratio which is a number between 0 and 1 determining, where did the user click on the X-axis (0 being on the most left (note C4 in this example), 1 on the most right (note C5))

            From this, I will calculate the frequency to play by equation

            ...

            ANSWER

            Answered 2021-Dec-24 at 13:44

            I figured it out. Tried to plot it logarithmic to at least approximate the result.

            I was inspired by this answer Plotting logarithmic graph Turns out this solution worked

            To draw notes on the x-axis I used this:

            Source https://stackoverflow.com/questions/70457054

            QUESTION

            Why can Record equal Functions?
            Asked 2021-Dec-17 at 17:54

            I was testing various typescript types till I came upon the following situation.

            Why can Record equal Functions?

            ...

            ANSWER

            Answered 2021-Dec-17 at 17:54

            Record is special cased for assignability and it basically means any object type. This is explained in this GitHub issue

            Normally the source type must have an index signature if the target type does, but for : any there's really nothing implied by this (every property must match any, by definition), so we made [s: string]: any a no-op for assignability reasons. This enabled some patterns that didn't work before:

            Source https://stackoverflow.com/questions/70396908

            QUESTION

            Filtering a mutli-index
            Asked 2021-Dec-14 at 11:55
            C1 C2 C3 C4 A 12 True 89 9 False 77 5 True 23 B 9 True 45 5 True 45 2 False 78 C 11 True 10 8 False 08 12 False 09

            C1 & C2 are the multi index. I'm hoping to get a result which gives me only values in C1 which have values both lower than 10 and greater than or equal to 10 in C2.

            So in the table above C1 - B should go, with the final result should look like this:

            C1 C2 C3 C4 A 12 True 89 9 False 77 5 True 23 C 11 True 10 8 False 08 12 False 09

            I tried df.loc[(df.C2 < 10 ) & (df.C2 >= 10)] but this didn't work.

            I also tried:

            filter1 = df.index.get_level_values('C2') < 10 filter2 = df.index.get_level_values('C2') >= 10

            df.iloc[filter1 & filter2]

            Which I saw suggested on another post that also didn't work. Any one know how to solve this? Thanks

            ...

            ANSWER

            Answered 2021-Dec-14 at 11:55

            Use GroupBy.transform with GroupBy.any for test at least one condition match per groups, so possible last filter by m DataFrame:

            Source https://stackoverflow.com/questions/70347526

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

            Vulnerabilities

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