mu | The μ css framework — a 1 ko css file | Theme library

 by   BafS HTML Version: v0.3.1 License: MIT

kandi X-RAY | mu Summary

kandi X-RAY | mu Summary

mu is a HTML library typically used in User Interface, Theme, React, Framework applications. mu has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

The μ framework is just 1 kb. Inspired by the motherfuckingwebsite.com, using μ css framework is simple as fuck.
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              mu has a low active ecosystem.
              It has 204 star(s) with 14 fork(s). There are 8 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 2 open issues and 1 have been closed. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of mu is v0.3.1

            kandi-Quality Quality

              mu has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              mu 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

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

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            mu Key Features

            No Key Features are available at this moment for mu.

            mu Examples and Code Snippets

            Batch normalization .
            pythondot img1Lines of Code : 67dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def batch_normalization(x,
                                    mean,
                                    variance,
                                    offset,
                                    scale,
                                    variance_epsilon,
                                    name=None):
              r"""Batch normal  
            Transforms matrix diag .
            pythondot img2Lines of Code : 60dot img2License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def matrix_diag_transform(matrix, transform=None, name=None):
              """Transform diagonal of [batch-]matrix, leave rest of matrix unchanged.
            
              Create a trainable covariance defined by a Cholesky factor:
            
              ```python
              # Transform network layer into 2 x   
            Initialize momentum parameters .
            pythondot img3Lines of Code : 54dot img3License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def __init__(
                  self,
                  learning_rate: float,
                  momentum: float,
                  use_nesterov: bool = False,
                  use_gradient_accumulation: bool = True,
                  clip_weight_min: Optional[float] = None,
                  clip_weight_max: Optional[float] = None,  

            Community Discussions

            QUESTION

            Polygonization of disjoint segments
            Asked 2021-Jun-15 at 06:36

            The problem is the following: I got a png file : example.png

            • that I filter using chan vese of skimage.segmentation.chan_vese

              • It's return a png file in black and white.
            • i detect segments around my new png file with cv2.ximgproc.createFastLineDetector()

              • it's return a list a segment

            But the list of segments represent disjoint segments.

            I use two naive methods to polygonize this list of segment:

            -It's seems that cv2.ximgproc.createFastLineDetector() create a almost continuous list so I just join by creating new segments:

            ...

            ANSWER

            Answered 2021-Jun-15 at 06:36

            So I use another library to solve this problem: OpenCV-python

            We got have also the detection of segments( which are not disjoint) but with a hierarchy with the function findContours. The hierarchy is useful since the function detects different polygons. This implies no problems of connections we could have with the other method like explain in the post

            Source https://stackoverflow.com/questions/67932354

            QUESTION

            Tensorflow ValueError: Dimensions must be equal: LSTM+MDN
            Asked 2021-Jun-14 at 19:07

            I am trying to make a next-word prediction model with LSTM + Mixture Density Network Based on this implementation(https://www.katnoria.com/mdn/).

            Input: 300-dimensional word vectors*window size(5) and 21-dimensional array(c) representing topic distribution of the document, used to train hidden initial states.

            Output: mixing coefficient*num_gaussians, variance*num_gaussians, mean*num_gaussians*300(vector size)

            x.shape, y.shape, c.shape with an experimental 161 obserbations gives me such:

            (TensorShape([161, 5, 300]), TensorShape([161, 300]), TensorShape([161, 21]))

            ...

            ANSWER

            Answered 2021-Jun-14 at 19:07

            for MDN model , the likelihood for each sample has to be calculated with all the Gaussians pdf , to do that I think you have to reshape your matrices ( y_true and mu) and take advantage of the broadcasting operation by adding 1 as the last dimension . e.g:

            Source https://stackoverflow.com/questions/67965364

            QUESTION

            React App running in Heroku fails when retrieving large amounts of data
            Asked 2021-Jun-14 at 18:09

            I have a react application (Node back end) running on Heroku (free option) connecting to a MongoDB running on Atlas (also free option). When I connect the application from my local machine to the Atlas DB all is fine and data retrieved (all 108 K records) in about 10 seconds, smaller amounts (4-500 records) of data in much less time. The same request from the application running on Heroku to the Atlas DB fails. The application running on Heroku can retrieve a small number of records (1-10) from the same collection of (108 K records), in less than a second. As soon as I try to retrieve a couple of hundred records the system fails. Below are the logs. I included the section of the logs that show a successful retrieval of 1 record and then failing on the request for about 450 records.

            I have three questions:

            1. What is the cause of the issue?
            2. Is there a work around in the free option of Heroku?
            3. If there is no work around in the free option, what Heroku pay level will I need to get to and what steps will I need to take to get this working? I will probably upgrade in the future but want to prove all is working before going in that direction.

            Logs:

            ...

            ANSWER

            Answered 2021-Jun-14 at 18:09

            You're running out of heap memory in your node server. It might be because there's some statement that uses a lot of memory. You can try to find that or you can try to increase node memory like this.

            Source https://stackoverflow.com/questions/67975049

            QUESTION

            Laravel cannot receive (handle) a PHP variable from URL, but on remote only
            Asked 2021-Jun-13 at 18:44

            I have this extremely simple code snipped in my controller, which always did its job of getting a php varaible from URL: URL: wholesaleeventeditions/create?event=36

            ...

            ANSWER

            Answered 2021-Jun-13 at 11:56
            $wholesaleevent = $input = Input::all();
            if (isset($wholesaleevent['event'])) {
               $event = $wholesaleevent;
            } else {
               $event = null;
            }
            

            Source https://stackoverflow.com/questions/67957901

            QUESTION

            Circular histogram with fitted Von Mises Distribution
            Asked 2021-Jun-13 at 15:13

            For the past days I've been trying to plot circular data with python, by constructing a circular histogram ranging from 0 to 2pi and fitting a Von Mises Distribution. What I really want to achieve is this:

            1. Directional data with fitted Von-Mises Distribution. This plot was constructed with Matplotlib, Scipy and Numpy and can be found at: http://jpktd.blogspot.com/2012/11/polar-histogram.html

            1. This plot was produced using R, but gives the idea of what I want to plot. It can be found here: https://www.zeileis.org/news/circtree/

            WHAT I HAVE DONE SO FAR:

            ...

            ANSWER

            Answered 2021-Apr-27 at 15:36

            This is what I achieved:

            I'm not entirely sure if you wanted x to range from [-pi,pi] or [0,2pi]. If you want the range [0,2pi] instead, just comment out the lines ax.set_xlim and ax.set_xticks.

            Source https://stackoverflow.com/questions/67282865

            QUESTION

            Heroku - JavaScript heap out of memory
            Asked 2021-Jun-12 at 09:13

            I was able to run my react app locally without issues, however when i deployed app to heroku I got OOM errors. It's not the first time I deploy the app, however this time I add OKTA authentication which apparently cause this issue. Any advise on how to resolve this issue will be appreciated.

            ...

            ANSWER

            Answered 2021-Jun-12 at 09:13

            Try to add NODE_OPTIONS as key and --max_old_space_size=1024 in Config Vars under project settings

            NODE_OPTIONS --max_old_space_size=1024 value.

            I've found this in https://bismobaruno.medium.com/fixing-memory-heap-reactjs-on-heroku-16910e33e342

            Source https://stackoverflow.com/questions/67947307

            QUESTION

            How to properly code a scaled inverse Wishart prior for a MCMCglmm model?
            Asked 2021-Jun-12 at 01:25

            I am running a multivariate model (4 response variables) with two random effects using MCMCglmm(). I am currently using a inverse Wishart prior.

            ...

            ANSWER

            Answered 2021-Jun-12 at 01:25

            This is a two-part question:

            • what priors should I use for a multivariate random effect where the likelihood is concentrated at small values? (I am assuming that this is the reason you are looking for an alternative to the default inverse Wishart priors) [more suitable for CrossValidated]
            • which of these are available in MCMCglmm, and how do I implement them there? [good for Stack Overflow]

            The general trick is to decompose the covariance matrix into a multivariate component (the correlation matrix or inverse correlation matrix or something) and a vector of scaling parameters for the standard deviations (or inverse standard deviations); Lemoine suggests U(0,100) for the scaling priors, which I think is bad (why flat? I can't get to the precise page of Gelman and Hill 2007 where they discuss which distribution to use for scaling priors ... but I would be a little surprised if they actually recommended a uniform distribution on the variance scale ...)

            update having actually looked at your code (!): I think you're doing the right thing, except that nu=0.002 seems really extreme; see end for that discussion.

            This is basically what MCMCglmm does, but it uses a different (IMO better) choice for the scaling priors. It sounds scary:

            These priors are all from the non-central scaled F-distribution, which implies the prior for the standard deviation is a non-central folded scaled t-distribution (Gelman, 2006).

            but it boils down to choosing four parameters, only two of which you really have to think about.

            • V: the prior mean variance (or the prior mean covariance matrix, if you have a multivariate random effect term). According to the course notes, "without loss of generality V can be set to one" (or in the case of a multivariate model, to an identity matrix)
            • alpha.mu: we almost always want this to be zero (or as in your example, a vector of zeros); that way the prior for the standard deviation will be a Student t distribution. (There may be a use case for alpha.mu != 0, but I've never run across it.)
            • alpha.V: with V set to 1 (or an identity matrix), this is the prior mean of the covariance matrix. A diagonal matrix with a reasonable scale for your problem is a good choice
            • nu: the shape parameter; as nu → ∞ we get a half-Normal prior for the standard deviations, with nu=1 we get a Cauchy distribution. Smaller values have fatter tails (less conservative/allowing broader samples, but also giving more danger of weird sampling behaviour in the tails).

            For the univariate case Hadfield says the t prior with V=1 is

            Source https://stackoverflow.com/questions/67941391

            QUESTION

            HOW to setup Windows 10 + VSCode + pymakr for Python programming + Micropython + ESP-IDF for esp32?
            Asked 2021-Jun-11 at 19:32

            I started several attempts to get this complex working. As mentioned in so many other discussions the micropython modules are not recognized, e.g. machine. Python modules like numpy were also not found.

            I think, the python environment is not working correctly and the modules are there but not found. But, there is no recommendation or tutorial that really solves this. How can I set this up?

            What I did so far:

            1. manually installed all components according to tutorials

            2. another way: installed the pything coding pack which contains a lot of stuff.

            3. The Windows paths have the correct folder paths to the components.

            4. I set the obviously correct python interpreter in vscode

            5. connection/communication with board is working. I can set up codes which dont contain micropython modules.

            6. in other IDE's like thonny/mu the modules are found.

            7. I also installed a python venv: I could install numpy inside this venv and later it was found in vscode (wasn't found before) when I used the venv python as interpreter in vscode. But I wasn't succesful with micropython in venv.

            PS: I can use the micropython modules like machine or network and upload the sketch to the esp32 board. It is working on the board. But I cant run any of the sketches in vscode. I think that Vscode uses cpython instead of micropython but shouldn't this be working after the installations I mentioned?

            ...

            ANSWER

            Answered 2021-May-24 at 00:00

            It sounds like you're confusing modules you install on the machine running Visual Studio Code and modules you install in Micropython on the ESP32.

            They're totally separate.

            Python on your Windows machine can use venv.

            MicroPython doesn't use venv at all (there apparently is a clone of venv for MicroPython but it's not readily apparent what it does or why or how you'd use it). It is a completely separate instance of Python from the one on your Windows machine, and it doesn't operate the same way. Modules you install under venv won't be visible or usable by MicroPython. Numpy in particular is not available for MicroPython.

            Many modules need to be written specially to work with MicroPython. MicroPython isn't running in a powerful operating system like Windows, MacOS or Linux. It's running in a highly constrained environment that lacks much of the functionality of those operating systems, and that has extremely little memory and storage compared to them. You can't expect that a module written for regular Python will just work on MicroPython (and likewise, many MicroPython modules use hardware features like I2C or SPI access that may not be available on more powerful, general purpose computers).

            Only modules available with upip will be available for MicroPython. They'll need to be installed in the instance of MicroPython running on the ESP32, not in the instance of Python running under Windows. They're two, totally separate instances of Python.

            Source https://stackoverflow.com/questions/67647095

            QUESTION

            How to remove a country from intl-tel-input
            Asked 2021-Jun-11 at 12:14

            (new in javascript)

            I am asked to remove a country (China) from the dropdown menu of the plugin intl-tel-input

            the code below displays the dropdown menu and it looks that it calls the utils.js file to retain the countries

            ...

            ANSWER

            Answered 2021-Jun-11 at 12:14

            If you take a look at the intl-tel-input documentation regarding Initialisation Options. There is an option called excludeCountries.

            We can modify your initialisation code to include this option to exclude China:

            Source https://stackoverflow.com/questions/67935923

            QUESTION

            Javascript heap out of memory while running a js script to fetch data from an api every minute- javascript/node.js
            Asked 2021-Jun-10 at 22:13

            My program grabs ~70 pages of 1000 items from an API and bulk-inserts it into a SQLite database using Sequelize. After looping through a few times, the memory usage of node goes up to around 1.2GB and and then eventually crashes the program with this error: FATAL ERROR: MarkCompactCollector: young object promotion failed Allocation failed - JavaScript heap out of memory. I've tried using delete for all of the big variables that I use for the response of the API call and stuff with variable = undefined and then global.gc(), however I still get huge amounts of memory usage and eventually it crashes. Would increasing the memory cap of Node.js help? Or would the memory usage of it just keep increasing until it hits the next cap?

            Here's the full output of the error:

            ...

            ANSWER

            Answered 2021-Jun-10 at 10:01

            From the data you've provided, it's impossible to tell why you're running out of memory.

            Maybe the working set (i.e. the amount of stuff that you need to keep around at the same time) just happens to be larger than your current heap limit; in that case increasing the limit would help. It's easy to find out by trying it, e.g. with --max-old-space-size=8000 (megabytes).

            Maybe there's a memory leak somewhere, either in your own code, or in one of your third-party modules. In other words, maybe you're accidentally keeping objects reachable that you don't really need any more.

            If you provide a repro case, then people can investigate and tell you more.

            Side notes:

            • according to your output, heap memory consumption is growing to ~4 GB; not sure why you think it tops out at 1.2 GB.
            • it is never necessary to invoke global.gc() manually; the garbage collector will kick in automatically when memory pressure is high. That said, if something is keeping old objects reachable, then the garbage collector can't do anything.

            Source https://stackoverflow.com/questions/67911370

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

            Vulnerabilities

            No vulnerabilities reported

            Install mu

            You can download it from GitHub.

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