Quoridor | python implementation of the board game | Game Engine library

by wrongu Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | Quoridor Summary

Quoridor is a Python library typically used in Gaming, Game Engine, Pygame applications. Quoridor has no bugs, it has no vulnerabilities and it has low support. However Quoridor build file is not available. You can download it from GitHub.

python implementation of the board game

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Quality

Security

License

Reuse

Support

Quoridor has a low active ecosystem.

It has 3 star(s) with 6 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

Quoridor has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Quoridor is current.

Quality

Quoridor has 0 bugs and 0 code smells.

Security

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

Quoridor code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Quoridor does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

Quoridor has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

It has 1328 lines of code, 120 functions and 13 files.

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

Top functions reviewed by kandi - BETA

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

Get all legal moves
Filters the given turn
Get all legal lights
Convert a column number to a letter letter
Convert a point to a string
List of all available calls
Find the path to the starting node from startnode to startnode
Add an edge to the graph
Adds a node to the graph
Determines the path to the given root
Build a bfs tree
Convert a wall string to 4 points
Convert a letter to a column
Convert a notation to a tuple
Finds shortest path depth first in goalnodes
Get the adj nodes of the given node
Checks if the given node exists
Return a copy of the player
Return a copy of a list

Get all kandi verified functions for this library.

Quoridor Key Features

No Key Features are available at this moment for Quoridor.

Quoridor Examples and Code Snippets

No Code Snippets are available at this moment for Quoridor.

Community Discussions

Trending Discussions on Quoridor

Store Grid N*N into an Adjacency Graph? Position and Neighbors

Can I apply softmax only on specific output neurons?

QUESTION

Store Grid N*N into an Adjacency Graph? Position and Neighbors

Asked 2021-Dec-09 at 18:08

Updating this post, once again.

This time to make things clearer. I am trying, to parse in a Grid of size 9x9, but this size can change overtime, its not fixed. This is a board game called Quoridor. What I have at my disposal, is a Board class. This provides me with the following, horizontal bool[,], and vertical bool[,], I can loop over each and print out x, y position. But these differ, depending on if its horizontal direction, or vertical direction and position.

The player can move one step ONLY either north, south, west, or east in terms of direction. The other player (human) can put a wall (obstacle) which covers two blocks horizontally or vertically. My automated player has to build a Graph of Nodes from the board, and refresh the Graph based on the changes on the board and its own position. For example, if the player cannot go to left, from current position, then an edge which connects two nodes will be deleted between them, only if caused by an obstacle. And then the BFS will run again against the Graph and return a new position (x, y) which this (automated) player uses and performs its move.

Every single block on the 9x9 grid, will represent one Node in the Graph. Meaning the number of vertices or nodes List in the Graph will be 9x9=81. Each of the Nodes hold a list or 2D array of size 4 for representing North, South, West, and East which could be of a bool type.

Now, I have provided a sample code of the Graph class I wrote along with a Node class. I hope the latest information herein makes it clear. I have already implemented the BFS algorithm. But this part is what I cannot understand correctly. I watched this video for some ideas: https://www.youtube.com/watch?v=KiCBXu4P-2Y

Code

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ANSWER

Answered 2021-Nov-24 at 22:11

Based on what you said I understand your question as follows: How the to handle Nodes that on the edges like (x=0,y=0), (x=9,y=5) or (x=9.y=9) ..... you should handle 8 cases

for case of left top corner the node only have 2 neighbors so set the top and left neighbors Null

Source https://stackoverflow.com/questions/69972021

QUESTION

Can I apply softmax only on specific output neurons?

Asked 2021-Apr-03 at 18:46

I am building an Actor-Critic neural network model in pytorch in order to train an agent to play the game of Quoridor (hopefully). For this reason, I have a neural network with two heads, one for the actor output which does a softmax on all the possible moves and one for the critic output which is just one neuron (for regressing the value of the input state).

Now, in quoridor, most of the times not all moves will be legal and as such I am wondering if I can exclude output neurons on the actor's head that correspond to illegal moves for the input state e.g. by passing a list of indices of all the neurons that correspond to legal moves. Thus, I want to not sum these outputs on the denominator of softmax.

Is there a functionality like this on pytorch (because I cannot find one)? Should I attempt to implement such a Softmax myself (kinda scared to, pytorch probably knows best, I ve been adviced to use LogSoftmax as well)?

Furthermore, do you think this approach of dealing with illegal moves is good? Or should I just let him guess illegal moves and penalize him (negative reward) for it in the hopes that eventually it will not pick illegal moves?

Or should I let the softmax be over all the outputs and then just set illegal ones to zero? The rest won't sum to 1 but maybe I can solve that by plain normalization (i.e. dividing by the L2 norm)?

...

ANSWER

Answered 2021-Apr-03 at 18:46

An easy solution would be to mask out illegal moves with a large negative value, this will practically force very low (log)softmax values (example below).

Source https://stackoverflow.com/questions/66930752

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

Vulnerabilities

No vulnerabilities reported

Install Quoridor

You can download it from GitHub.
You can use Quoridor like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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