layer | 丰富多样的 Web 弹出层组件,可轻松实现 Alert/Confirm/Prompt/ | Navigation library

 by   sentsin JavaScript Version: v3.5.1 License: MIT

kandi X-RAY | layer Summary

kandi X-RAY | layer Summary

layer is a JavaScript library typically used in User Interface, Navigation, Vue, jQuery applications. layer has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can install using 'npm i node-layer' or download it from GitHub, npm.

丰富多样的 Web 弹出层组件,可轻松实现 Alert/Confirm/Prompt/ 普通提示/页面区块/iframe/tips等等几乎所有的弹出交互。目前已成为最多人使用的弹层解决方案

            kandi-support Support

              layer has a medium active ecosystem.
              It has 8044 star(s) with 2724 fork(s). There are 487 watchers for this library.
              It had no major release in the last 12 months.
              layer has no issues reported. There are 18 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of layer is v3.5.1

            kandi-Quality Quality

              layer has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              layer 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

              layer releases are available to install and integrate.
              Deployable package is available in npm.
              layer saves you 158 person hours of effort in developing the same functionality from scratch.
              It has 393 lines of code, 0 functions and 7 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            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 layer
            Get all kandi verified functions for this library.

            layer Key Features

            No Key Features are available at this moment for layer.

            layer Examples and Code Snippets

            Call the layer .
            pythondot img1Lines of Code : 193dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def __call__(self, *args, **kwargs):
                """Wraps `call`, applying pre- and post-processing steps.
                  *args: Positional arguments to be passed to ``.
                  **kwargs: Keyword arguments to be passed to ``.
            Convert an RNN layer to a function .
            pythondot img2Lines of Code : 165dot img2License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def _convert_rnn_weights(layer, weights):
              """Converts weights for RNN layers between native and CuDNN format.
              Input kernels for each gate are transposed and converted between Fortran
              and C layout, recurrent kernels are transposed. For LSTM bia  
            Broadcast the next layer .
            pythondot img3Lines of Code : 118dot img3License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def _broadcast_dynamic_shape_next_layer_both_uniform(
                ac_0: _LayerBroadcaster, bc_0: _LayerBroadcaster, a_1: RowPartition,
                b_1: RowPartition
            ) -> Tuple[RowPartition, _LayerBroadcaster, _LayerBroadcaster]:
              r"""Broadcast target and next la  

            Community Discussions


            UWP MapControl LocalMapTileDataSource and tile's image custom opacity on fly
            Asked 2021-Jun-15 at 18:55

            I use LocalMapTileDataSource and would like to apply custom opacity for tile's images. As I found there is no way to make it on fly?

            Here is my code.



            Answered 2021-Jun-15 at 18:55

            When you load a tile from a PNG like this, it reads the opacity from each pixel in the PNG. If you want to change the opacity, you would need to update the PNG alpha values in each pixel. There's currently no way to set a global opacity value on an entire tile layer as this would conflict with the opacity information already present in the bitmap.



            swift set textfield input range number between 17 - 100
            Asked 2021-Jun-15 at 16:16

            so i make a form that contain a bunch of data input from the user, on of the input is age, and i want the user to only input between 17 - 100.

            after that i have this func that contain the validation of every textfield, so if the validation is correct it will make the button to enabled

            this is my validation func :



            Answered 2021-Jun-15 at 13:38


            Not able to get reasonable results from DenseVariational
            Asked 2021-Jun-15 at 16:05

            I am trying a regression problem with the following dataset (sinusoidal curve) of size 500

            First, I tried with 2 dense layer with 10 units each



            Answered 2021-Mar-18 at 15:40


            Model.evaluate returns 0 loss when using custom model
            Asked 2021-Jun-15 at 15:52

            I am trying to use my own train step in with Keras by creating a class that inherits from Model. It seems that the training works correctly but the evaluate function always returns 0 on the loss even if I send to it the train data, which have a big loss value during the training. I can't share my code but was able to reproduce using the example form the Keras api in I changed the Dense layer to have 2 units instead of one, and made its activation to sigmoid.

            The code:



            Answered 2021-Jun-12 at 17:27

            As you manually use the loss and metrics function in the train_step (not in the .compile) for the training set, you should also do the same for the validation set or by defining the test_step in the custom model in order to get the loss score and metrics score. Add the following function to your custom model.



            How to pass embedded data through a specific layers of TensorFlow model?
            Asked 2021-Jun-15 at 15:28

            Good day, everyone.

            I want to have two separate TensorFlow models (f and g) and train both of them on the loss of f(g(x)). However, I want to use them separately, like g(x) or f(e), where e is an embedded vector but received not from g.

            For example, the classical way to create the model with embedding looks like this:



            Answered 2021-Jun-15 at 10:53

            This can be achieved by weight sharing or shared layers. To share layers in different models in keras, you just need to pass the same instance of layer to both of the models.

            Example Codes:



            Labels on the left side of my input fields
            Asked 2021-Jun-15 at 14:57

            I'm trying for a long time to get my labels on the left side on my input fields. I'm banging my head against the wall. I use a font-awesome icon in the label.

            I tried a lot of searches on Google and Stack Overflow and tried stuff like inline-block which I see should work but it didn't work for me. My code so far. I guess it's an easy fix for all the great people that are here.



            Answered 2021-Apr-13 at 19:11

            The easiest method, in my opinion, is to turn .wrapperSnippet into a CSS Grid layout.

            Grid is supported by all modern browsers but IE supports an older version of the spec.

            We can define the grid with two columns: one of width auto, and the other with 1fr. auto means that it will take up as much space as needed to fit the element, then the 1fr will fill the remaining space.



            Creating multi-level dropdown with nested array of objects
            Asked 2021-Jun-15 at 13:59

            I'm trying to create a multi-level dropdown using Bootstrap and some JSON data.

            Ideally, I want the dropdown to have this kind of nested functionality:

            I'm working with an array of objects with nested data, and it looks like:



            Answered 2021-Jun-15 at 13:59

            You need to loop through arrays and on each iteration you can append htmls inside some variable using += .Then , append this html generated inside your ul tag .

            I have taken some codes from this post as we need to control each submenu click you can use jquery code so on each click add/remove show class from other submenu .

            Demo Code :



            JOOQ Code Generation via JPADatabase problem with custom composite user type
            Asked 2021-Jun-15 at 13:38

            I am trying to use JOOQ code generation from JPA Entity. I have already created a dedicated maven module where the code will be generated which has dependency on a module containing all entities as well code generation plugin with of jooq.

            To add more clarify on project structure, here are the modules:(The names are made up but the structure reflects the current project i am working on)



            Answered 2021-Jun-02 at 07:53
            Regarding the error

            I'm assuming you have missing dependencies on your code generation class path. Once you update your question, I'll update my answer.

            Regarding jOOQ code generation support for @TypeDef etc.

            jOOQ won't support your generated composite types in generated code out of the box, you'll still have to add forced type configurations for that, possibly embeddable type configurations:

            Note that the JPADatabase offers a quick win by integrating with simple JPA defined schemas very quickly. It has its caveats. For best results, I recommend going DDL first (and generate both jOOQ code and JPA model from that), because it will be much easier to put your schema change management under version control, e.g. via Flyway or Liquibase.



            Crash on a protocol witness related issue
            Asked 2021-Jun-15 at 13:26

            In my iOS app "Progression" there is rarely a crash (1 crash in ~1000+ Sessions) I am currently not able to fix. The message is

            Progression: protocol witness for TrainingSetSessionManager.update(object:weight:reps:) in conformance TrainingSetSessionDataManager + 40

            This crash points me to the following method:



            Answered 2021-Jun-15 at 13:26

            While editing my initial question to add more context as Jay proposed I think it found the issue.

            What probably happens? The view where the crash is, contains a table view. Each cell will be configured before being presented. I use a flag which holds the information, if the amount of weight for this cell (it is a strength workout app) has been initially set or is a change. When prepareForReuse is being called, this flag has not been reset. And that now means scrolling through the table view triggers a DB write for each reused cell, that leads to unnecessary writes to the db. Unnecessary, because the exact same number is already saved in the db.

            My speculation: Scrolling fast could maybe lead to a race condition (I have read something about that issue with realm) and that maybe causes this weird crash, because there are multiple single writes initiated in a short time.

            Solution: I now reset the flag on prepareForReuse to its initial value to prevent this misbehaviour.

            The crash only happens when the cell is set up and the described behaviour happens. Therefor I'm quite confident I fixed the issue finally. Let's see. -- I was not able to reproduce the issue, but it also only happens pretty rare.



            Problem with FULLY_CONNECTED op in TF Lite
            Asked 2021-Jun-15 at 13:22

            I'd like to run a simple neural network model which uses Keras on a Rasperry microcontroller. I get a problem when I use a layer. The code is defined like this:



            Answered 2021-May-25 at 01:08

            I had the same problem, man. I want to transplant tflite to the development board of CEVA. There is no problem in compiling. In the process of running, there is also an error in AddBuiltin(full_connect). At present, the only possible situation I guess is that some devices can not support tflite.


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


            No vulnerabilities reported

            Install layer

            You can install using 'npm i node-layer' or download it from GitHub, npm.


            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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