LambdaMap | An experimental mini-map and world-map mod for Fabric | Game Engine library

by LambdAurora Java Version: Current License: LGPL-3.0

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | LambdaMap Summary

LambdaMap is a Java library typically used in Gaming, Game Engine, Minecraft applications. LambdaMap has no bugs, it has no vulnerabilities, it has build file available, it has a Weak Copyleft License and it has low support. You can download it from GitHub.

An experimental mini-map and world-map mod for Fabric 1.17.

Support

Quality

Security

License

Reuse

Support

LambdaMap has a low active ecosystem.

It has 41 star(s) with 10 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 1 have been closed. On average issues are closed in 2 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of LambdaMap is current.

Quality

LambdaMap has 0 bugs and 0 code smells.

Security

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

LambdaMap code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

LambdaMap is licensed under the LGPL-3.0 License. This license is Weak Copyleft.

Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

Reuse

LambdaMap releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

It has 3213 lines of code, 315 functions and 32 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed LambdaMap and discovered the below as its top functions. This is intended to give you an instant insight into LambdaMap implemented functionality, and help decide if they suit your requirements.

Renders the vertices onto the screen stack
Render compass indicator
Render static compassicators
Render the dynamic compact indicators
Render the vertices
Render the world map
Scales the view
Render the player icon
On mouse scroll
Initialize the tabbed widgets
Initializes the widgets
Set coordinates field
Renders a single widget
Start a game loop
Builds the configuration tab
Calculates water depth for a chunk
Handle navigation
Serialize this object to NBT compound
Read the configuration
Search for the block ceil
Search the block for a given chunk
Called when mouse is clicked
Render the widget
Override method to perform the mouse drag
Saves the chunk file
Returns the color for the given position

Get all kandi verified functions for this library.

LambdaMap Key Features

No Key Features are available at this moment for LambdaMap.

LambdaMap Examples and Code Snippets

No Code Snippets are available at this moment for LambdaMap.

Community Discussions

Trending Discussions on LambdaMap

freezing layers in a neural network in pytorch

python lambda map over nested list

Giving output of one neural network as an input to another in pytorch

QUESTION

freezing layers in a neural network in pytorch

Asked 2022-Mar-24 at 10:13

I have a cascaded neural network whereby the the output of first network become the input of second network. The first neural network is pretrained so I just initialise it with those pretrained weights. However, I want to freeze the first neural network so that when training its only updating weights of the second neural network. How can I do that? My network looks like:

...

ANSWER

Answered 2021-Nov-19 at 13:43

Freezing any parameter is done by setting it's .requires_grad to False. Do so by iterating over all parameters of the module (that you want to freeze)

Source https://stackoverflow.com/questions/70035391

QUESTION

python lambda map over nested list

Asked 2022-Mar-22 at 06:08

I recently received the following question in a Hackerrank that I wasn't able to answer and I haven't found the correct answer anywhere else.

Complete the lambda map function: given a array such as [[1,2,3,-1,2],[2,4,-3]] take the square of all the non-negative numbers in the two arrays. The output is suppose to be:

...

ANSWER

Answered 2022-Mar-22 at 06:08

def lambdamap(arr):
    return map(
        lambda x: map(
            lambda y: y**2,
            filter(lambda z: z > 0, x)
        ),
        map(
            lambda b: b[1],
            filter(lambda a: a[0] > 0, enumerate(lst))
        )
    )

Source https://stackoverflow.com/questions/71563562

QUESTION

Giving output of one neural network as an input to another in pytorch

Asked 2021-Nov-09 at 21:29

I have a pretrained convolution neural network which produces and output of shape (X,164) where X is the number of test examples. So output layer has 164 nodes. I want to take this output and give this two another network which is simply a fully connected neural network whereby the first layer has 64 nodes and output layer has 1 node with sigmoid function. How can I do that? My first network looks like:

...

ANSWER

Answered 2021-Nov-09 at 21:26

If the two models do not need any adapting to be done at the first's model output, you can simply use a nn.Sequential:

Source https://stackoverflow.com/questions/69904897

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

Vulnerabilities

No vulnerabilities reported

Install LambdaMap

You can download it from GitHub.
You can use LambdaMap like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the LambdaMap component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

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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