Metadata-Version: 2.1
Name: pyffish
Version: 0.0.57
Summary: Fairy-Stockfish Python wrapper
Home-page: https://github.com/gbtami/Fairy-Stockfish
Author: Bajusz Tamás
Author-email: gbtami@gmail.com
License: GPL3
Description: # Fairy-Stockfish
        
        ## Overview
        
        [![Build Status](https://github.com/ianfab/Fairy-Stockfish/workflows/build/badge.svg?branch=master)](https://github.com/ianfab/Fairy-Stockfish/actions?query=workflow%3Abuild)
        [![Build Status](https://travis-ci.org/ianfab/Fairy-Stockfish.svg?branch=master)](https://travis-ci.org/ianfab/Fairy-Stockfish)
        [![Build Status](https://ci.appveyor.com/api/projects/status/github/ianfab/Fairy-Stockfish?branch=master&svg=true)](https://ci.appveyor.com/project/ianfab/Fairy-Stockfish/branch/master)
        [![PyPI version](https://badge.fury.io/py/pyffish.svg)](https://badge.fury.io/py/pyffish)
        [![NPM version](https://img.shields.io/npm/v/ffish.svg?sanitize=true)](https://www.npmjs.com/package/ffish)
        
        Fairy-Stockfish is a chess variant engine derived from [Stockfish](https://github.com/official-stockfish/Stockfish/) designed for the support of fairy chess variants and easy extensibility with more games. It can play various regional, historical, and modern chess variants as well as [games with user-defined rules](https://github.com/ianfab/Fairy-Stockfish/wiki/Variant-configuration). For [compatibility with graphical user interfaces](https://github.com/ianfab/Fairy-Stockfish/wiki/Graphical-user-interfaces) it supports the UCI, UCCI, USI, UCI-cyclone, and CECP/XBoard protocols.
        
        The goal of the project is to create an engine supporting a large variety of chess-like games, equipped with the powerful search of Stockfish. Despite its generality the [playing strength](https://github.com/ianfab/Fairy-Stockfish/wiki/Playing-strength) is on a very high level in almost all supported variants. Due to its multi-protocol support Fairy-Stockfish works with almost any chess variant GUI.
        
        ## Installation
        You can download the [Windows executable](https://github.com/ianfab/Fairy-Stockfish/releases/latest/download/fairy-stockfish-largeboard_x86-64.exe) or [Linux binary](https://github.com/ianfab/Fairy-Stockfish/releases/latest/download/fairy-stockfish-largeboard_x86-64) from the [latest release](https://github.com/ianfab/Fairy-Stockfish/releases/latest) or [compile the program from source](https://github.com/ianfab/Fairy-Stockfish#compiling-stockfish-yourself-from-the-sources). The program comes without a graphical user interface, so you perhaps want to use it together with a [compatible GUI](https://github.com/ianfab/Fairy-Stockfish/wiki/Graphical-user-interfaces), or [play against it online](https://github.com/ianfab/Fairy-Stockfish/wiki/Online) at [pychess](https://www.pychess.org/), [lishogi](https://lishogi.org/), [xichess](http://www.xichess.com/), or [lichess](https://lichess.org/@/Fairy-Stockfish). Read more about [how to use](https://github.com/ianfab/Fairy-Stockfish/wiki/Usage) Fairy-Stockfish in the wiki.
        
        Optional NNUE evaluation parameter files to improve playing strength for selected variants can be obtained via [patreon](https://www.patreon.com/ianfab), also see the [variant NNUE overview](https://docs.google.com/spreadsheets/d/1fgGvBKleUOI1wZZbiNhpT98qhQ7mYuQ5kar1lTQ9g3w/edit?usp=sharing).
        When NNUE evaluation is used, the `EvalFile` parameter needs to be adjusted accordingly as explained in the [wiki](https://github.com/ianfab/Fairy-Stockfish/wiki/Settings#evalfile).
        
        ## Contributing
        
        If you like this project, please support its development via [patreon](https://www.patreon.com/ianfab) or [paypal](https://paypal.me/FairyStockfish), by [contributing CPU time](https://github.com/ianfab/fishtest/wiki) to the framework for testing of code improvements, or by [contributing to the code](https://github.com/ianfab/Fairy-Stockfish/wiki/Contributing) or documentation. An [introduction to the code base](https://github.com/ianfab/Fairy-Stockfish/wiki/Understanding-the-code) can be found in the wiki.
        
        ## Supported games
        
        The games currently supported besides chess are listed below. Fairy-Stockfish can also play user-defined variants loaded via a variant configuration file, see the file [`src/variants.ini`](https://github.com/ianfab/Fairy-Stockfish/blob/master/src/variants.ini) and the [wiki](https://github.com/ianfab/Fairy-Stockfish/wiki/Variant-configuration).
        
        ### Regional and historical games
        - [Xiangqi](https://en.wikipedia.org/wiki/Xiangqi), [Manchu](https://en.wikipedia.org/wiki/Manchu_chess), [Minixiangqi](http://mlwi.magix.net/bg/minixiangqi.htm), [Supply chess](https://en.wikipedia.org/wiki/Xiangqi#Variations)
        - [Shogi](https://en.wikipedia.org/wiki/Shogi), [Shogi variants](https://github.com/ianfab/Fairy-Stockfish#shogi-variants)
        - [Janggi](https://en.wikipedia.org/wiki/Janggi)
        - [Makruk](https://en.wikipedia.org/wiki/Makruk), [ASEAN](http://hgm.nubati.net/rules/ASEAN.html), Makpong, Ai-Wok
        - [Ouk Chatrang](https://en.wikipedia.org/wiki/Makruk#Cambodian_chess), [Kar Ouk](https://en.wikipedia.org/wiki/Makruk#Cambodian_chess)
        - [Sittuyin](https://en.wikipedia.org/wiki/Sittuyin)
        - [Shatar](https://en.wikipedia.org/wiki/Shatar), [Jeson Mor](https://en.wikipedia.org/wiki/Jeson_Mor)
        - [Shatranj](https://en.wikipedia.org/wiki/Shatranj), [Courier](https://en.wikipedia.org/wiki/Courier_chess)
        
        ### Chess variants
        - [Capablanca](https://en.wikipedia.org/wiki/Capablanca_Chess), [Janus](https://en.wikipedia.org/wiki/Janus_Chess), [Modern](https://en.wikipedia.org/wiki/Modern_Chess_(chess_variant)), [Chancellor](https://en.wikipedia.org/wiki/Chancellor_Chess), [Embassy](https://en.wikipedia.org/wiki/Embassy_Chess), [Gothic](https://www.chessvariants.com/large.dir/gothicchess.html), [Capablanca random chess](https://en.wikipedia.org/wiki/Capablanca_Random_Chess)
        - [Grand](https://en.wikipedia.org/wiki/Grand_Chess), [Shako](https://www.chessvariants.com/large.dir/shako.html), [Centaur](https://www.chessvariants.com/large.dir/contest/royalcourt.html), [Tencubed](https://www.chessvariants.com/contests/10/tencubedchess.html)
        - [Chess960](https://en.wikipedia.org/wiki/Chess960), [Placement/Pre-Chess](https://www.chessvariants.com/link/placement-chess)
        - [Crazyhouse](https://en.wikipedia.org/wiki/Crazyhouse), [Loop](https://en.wikipedia.org/wiki/Crazyhouse#Variations), [Chessgi](https://en.wikipedia.org/wiki/Crazyhouse#Variations), [Pocket Knight](http://www.chessvariants.com/other.dir/pocket.html), Capablanca-Crazyhouse
        - [Bughouse](https://en.wikipedia.org/wiki/Bughouse_chess), [Koedem](http://schachclub-oetigheim.de/wp-content/uploads/2016/04/Koedem-rules.pdf)
        - [Seirawan](https://en.wikipedia.org/wiki/Seirawan_chess), Seirawan-Crazyhouse
        - [Amazon](https://en.wikipedia.org/wiki/Amazon_(chess)), [Chigorin](https://en.wikipedia.org/wiki/Chigorin_Chess), [Almost chess](https://en.wikipedia.org/wiki/Almost_Chess)
        - [Hoppel-Poppel](http://www.chessvariants.com/diffmove.dir/hoppel-poppel.html), New Zealand
        - [Antichess](https://lichess.org/variant/antichess), [Giveaway](http://www.chessvariants.com/diffobjective.dir/giveaway.old.html), [Suicide](https://www.freechess.org/Help/HelpFiles/suicide_chess.html), [Losers](https://www.chessclub.com/help/Wild17), [Codrus](http://www.binnewirtz.com/Schlagschach1.htm)
        - [Extinction](https://en.wikipedia.org/wiki/Extinction_chess), [Kinglet](https://en.wikipedia.org/wiki/V._R._Parton#Kinglet_chess), Three Kings, [Coregal](https://www.chessvariants.com/winning.dir/coregal.html)
        - [King of the Hill](https://en.wikipedia.org/wiki/King_of_the_Hill_(chess)), [Racing Kings](https://en.wikipedia.org/wiki/V._R._Parton#Racing_Kings)
        - [Three-check](https://en.wikipedia.org/wiki/Three-check_chess), Five-check
        - [Los Alamos](https://en.wikipedia.org/wiki/Los_Alamos_chess)
        - [Atomic](https://en.wikipedia.org/wiki/Atomic_chess)
        - [Horde](https://en.wikipedia.org/wiki/Dunsany%27s_Chess#Horde_Chess), [Maharajah and the Sepoys](https://en.wikipedia.org/wiki/Maharajah_and_the_Sepoys)
        - [Knightmate](https://www.chessvariants.com/diffobjective.dir/knightmate.html)
        
        ### Shogi variants
        - [Minishogi](https://en.wikipedia.org/wiki/Minishogi), [EuroShogi](https://en.wikipedia.org/wiki/EuroShogi), [Judkins shogi](https://en.wikipedia.org/wiki/Judkins_shogi)
        - [Kyoto shogi](https://en.wikipedia.org/wiki/Kyoto_shogi), [Microshogi](https://en.wikipedia.org/wiki/Micro_shogi)
        - [Dobutsu shogi](https://en.wikipedia.org/wiki/Dōbutsu_shōgi), [Goro goro shogi](https://en.wikipedia.org/wiki/D%C5%8Dbutsu_sh%C5%8Dgi#Variation)
        - [Yari shogi](https://en.wikipedia.org/wiki/Yari_shogi)
        - [Okisaki shogi](https://en.wikipedia.org/wiki/Okisaki_shogi)
        
        ### Related games
        - [Amazons](https://en.wikipedia.org/wiki/Game_of_the_Amazons)
        - [Ataxx](https://en.wikipedia.org/wiki/Ataxx)
        - [Breakthrough](https://en.wikipedia.org/wiki/Breakthrough_(board_game))
        - [Clobber](https://en.wikipedia.org/wiki/Clobber)
        - [Cfour](https://en.wikipedia.org/wiki/Connect_Four), [Tic-tac-toe](https://en.wikipedia.org/wiki/Tic-tac-toe)
        - [Flipersi](https://en.wikipedia.org/wiki/Reversi), [Flipello](https://en.wikipedia.org/wiki/Reversi#Othello)
        
        ## Help
        
        See the [Fairy-Stockfish Wiki](https://github.com/ianfab/Fairy-Stockfish/wiki) for more info, or if the required information is not available, open an [issue](https://github.com/ianfab/Fairy-Stockfish/issues) or join our [discord server](https://discord.gg/FYUGgmCFB4).
        
        ## Bindings
        
        Besides the C++ engine, this project also includes bindings for other programming languages in order to be able to use it as a library for chess variants. They support move, SAN, and FEN generation, as well as checking of game end conditions for all variants supported by Fairy-Stockfish. Since the bindings are using the C++ code, they are very performant compared to libraries directly written in the respective target language.  
        
        ### Python
        
        The python binding [pyffish](https://pypi.org/project/pyffish/) contributed by [@gbtami](https://github.com/gbtami) is implemented in [pyffish.cpp](https://github.com/ianfab/Fairy-Stockfish/blob/master/src/pyffish.cpp). It is e.g. used in the backend for the [pychess server](https://github.com/gbtami/pychess-variants).
        
        ### Javascript
        
        The javascript binding ffish.js contributed by [@QueensGambit](https://github.com/QueensGambit) is implemented in [ffishjs.cpp](https://github.com/ianfab/Fairy-Stockfish/blob/master/src/ffishjs.cpp). The compilation/binding to javascript is done using emscripten, see the [readme](https://github.com/ianfab/Fairy-Stockfish/tree/master/tests/js).
        
        ## Ports
        
        ### WASM
        
        A port of Fairy-Stockfish to WebAssembly is maintained at https://github.com/ianfab/stockfish.wasm.
        
        # Stockfish
        ## Overview
        
        [![Build Status](https://travis-ci.org/official-stockfish/Stockfish.svg?branch=master)](https://travis-ci.org/official-stockfish/Stockfish)
        [![Build Status](https://ci.appveyor.com/api/projects/status/github/official-stockfish/Stockfish?branch=master&svg=true)](https://ci.appveyor.com/project/mcostalba/stockfish/branch/master)
        
        [Stockfish](https://stockfishchess.org) is a free, powerful UCI chess engine
        derived from Glaurung 2.1. Stockfish is not a complete chess program and requires a
        UCI-compatible graphical user interface (GUI) (e.g. XBoard with PolyGlot, Scid,
        Cute Chess, eboard, Arena, Sigma Chess, Shredder, Chess Partner or Fritz) in order
        to be used comfortably. Read the documentation for your GUI of choice for information
        about how to use Stockfish with it.
        
        The Stockfish engine features two evaluation functions for chess, the classical
        evaluation based on handcrafted terms, and the NNUE evaluation based on efficiently
        updatable neural networks. The classical evaluation runs efficiently on almost all
        CPU architectures, while the NNUE evaluation benefits from the vector
        intrinsics available on most CPUs (sse2, avx2, neon, or similar).
        
        
        ## Files
        
        This distribution of Stockfish consists of the following files:
        
          * Readme.md, the file you are currently reading.
        
          * Copying.txt, a text file containing the GNU General Public License version 3.
          
          * AUTHORS, a text file with the list of authors for the project
        
          * src, a subdirectory containing the full source code, including a Makefile
            that can be used to compile Stockfish on Unix-like systems.
        
          * a file with the .nnue extension, storing the neural network for the NNUE 
            evaluation. Binary distributions will have this file embedded.
        
        ## UCI options
        
        Currently, Stockfish has the following UCI options:
        
          * #### Threads
            The number of CPU threads used for searching a position. For best performance, set
            this equal to the number of CPU cores available.
        
          * #### Hash
            The size of the hash table in MB. It is recommended to set Hash after setting Threads.
        
          * #### Clear Hash
            Clear the hash table.
        
          * #### Ponder
            Let Stockfish ponder its next move while the opponent is thinking.
        
          * #### MultiPV
            Output the N best lines (principal variations, PVs) when searching.
            Leave at 1 for best performance.
        
          * #### Use NNUE
            Toggle between the NNUE and classical evaluation functions. If set to "true",
            the network parameters must be available to load from file (see also EvalFile),
            if they are not embedded in the binary.
        
          * #### EvalFile
            The name of the file of the NNUE evaluation parameters. Depending on the GUI the
            filename might have to include the full path to the folder/directory that contains the file.
            Other locations, such as the directory that contains the binary and the working directory,
            are also searched.
        
          * #### UCI_AnalyseMode
            An option handled by your GUI.
        
          * #### UCI_Chess960
            An option handled by your GUI. If true, Stockfish will play Chess960.
        
          * #### UCI_ShowWDL
            If enabled, show approximate WDL statistics as part of the engine output.
            These WDL numbers model expected game outcomes for a given evaluation and
            game ply for engine self-play at fishtest LTC conditions (60+0.6s per game).
        
          * #### UCI_LimitStrength
            Enable weaker play aiming for an Elo rating as set by UCI_Elo. This option overrides Skill Level.
        
          * #### UCI_Elo
            If enabled by UCI_LimitStrength, aim for an engine strength of the given Elo.
            This Elo rating has been calibrated at a time control of 60s+0.6s and anchored to CCRL 40/4.
        
          * #### Skill Level
            Lower the Skill Level in order to make Stockfish play weaker (see also UCI_LimitStrength).
            Internally, MultiPV is enabled, and with a certain probability depending on the Skill Level a
            weaker move will be played.
        
          * #### SyzygyPath
            Path to the folders/directories storing the Syzygy tablebase files. Multiple
            directories are to be separated by ";" on Windows and by ":" on Unix-based
            operating systems. Do not use spaces around the ";" or ":".
        
            Example: `C:\tablebases\wdl345;C:\tablebases\wdl6;D:\tablebases\dtz345;D:\tablebases\dtz6`
        
            It is recommended to store .rtbw files on an SSD. There is no loss in storing
            the .rtbz files on a regular HD. It is recommended to verify all md5 checksums
            of the downloaded tablebase files (`md5sum -c checksum.md5`) as corruption will
            lead to engine crashes.
        
          * #### SyzygyProbeDepth
            Minimum remaining search depth for which a position is probed. Set this option
            to a higher value to probe less aggressively if you experience too much slowdown
            (in terms of nps) due to tablebase probing.
        
          * #### Syzygy50MoveRule
            Disable to let fifty-move rule draws detected by Syzygy tablebase probes count
            as wins or losses. This is useful for ICCF correspondence games.
        
          * #### SyzygyProbeLimit
            Limit Syzygy tablebase probing to positions with at most this many pieces left
            (including kings and pawns).
        
          * #### Contempt
            A positive value for contempt favors middle game positions and avoids draws,
            effective for the classical evaluation only.
        
          * #### Analysis Contempt
            By default, contempt is set to prefer the side to move. Set this option to "White"
            or "Black" to analyse with contempt for that side, or "Off" to disable contempt.
        
          * #### Move Overhead
            Assume a time delay of x ms due to network and GUI overheads. This is useful to
            avoid losses on time in those cases.
        
          * #### Slow Mover
            Lower values will make Stockfish take less time in games, higher values will
            make it think longer.
        
          * #### nodestime
            Tells the engine to use nodes searched instead of wall time to account for
            elapsed time. Useful for engine testing.
        
          * #### Debug Log File
            Write all communication to and from the engine into a text file.
        
        ## A note on classical evaluation versus NNUE evaluation
        
        Both approaches assign a value to a position that is used in alpha-beta (PVS) search
        to find the best move. The classical evaluation computes this value as a function
        of various chess concepts, handcrafted by experts, tested and tuned using fishtest.
        The NNUE evaluation computes this value with a neural network based on basic
        inputs (e.g. piece positions only). The network is optimized and trained
        on the evaluations of millions of positions at moderate search depth.
        
        The NNUE evaluation was first introduced in shogi, and ported to Stockfish afterward.
        It can be evaluated efficiently on CPUs, and exploits the fact that only parts
        of the neural network need to be updated after a typical chess move.
        [The nodchip repository](https://github.com/nodchip/Stockfish) provides additional
        tools to train and develop the NNUE networks. On CPUs supporting modern vector instructions
        (avx2 and similar), the NNUE evaluation results in much stronger playing strength, even
        if the nodes per second computed by the engine is somewhat lower (roughly 80% of nps
        is typical).
        
        Notes:
        
        1) the NNUE evaluation depends on the Stockfish binary and the network parameter
        file (see the EvalFile UCI option). Not every parameter file is compatible with a given
        Stockfish binary, but the default value of the EvalFile UCI option is the name of a network
        that is guaranteed to be compatible with that binary.
        
        2) to use the NNUE evaluation, the additional data file with neural network parameters
        needs to be available. Normally, this file is already embedded in the binary or it 
        can be downloaded. The filename for the default (recommended) net can be found as the default
        value of the `EvalFile` UCI option, with the format `nn-[SHA256 first 12 digits].nnue`
        (for instance, `nn-c157e0a5755b.nnue`). This file can be downloaded from
        ```
        https://tests.stockfishchess.org/api/nn/[filename]
        ```
        replacing `[filename]` as needed.
        
        ## What to expect from the Syzygy tablebases?
        
        If the engine is searching a position that is not in the tablebases (e.g.
        a position with 8 pieces), it will access the tablebases during the search.
        If the engine reports a very large score (typically 153.xx), this means 
        it has found a winning line into a tablebase position.
        
        If the engine is given a position to search that is in the tablebases, it
        will use the tablebases at the beginning of the search to preselect all
        good moves, i.e. all moves that preserve the win or preserve the draw while
        taking into account the 50-move rule.
        It will then perform a search only on those moves. **The engine will not move
        immediately**, unless there is only a single good move. **The engine likely
        will not report a mate score, even if the position is known to be won.**
        
        It is therefore clear that this behaviour is not identical to what one might
        be used to with Nalimov tablebases. There are technical reasons for this
        difference, the main technical reason being that Nalimov tablebases use the
        DTM metric (distance-to-mate), while the Syzygy tablebases use a variation of the
        DTZ metric (distance-to-zero, zero meaning any move that resets the 50-move
        counter). This special metric is one of the reasons that the Syzygy tablebases are
        more compact than Nalimov tablebases, while still storing all information
        needed for optimal play and in addition being able to take into account
        the 50-move rule.
        
        ## Large Pages
        
        Stockfish supports large pages on Linux and Windows. Large pages make
        the hash access more efficient, improving the engine speed, especially
        on large hash sizes. Typical increases are 5..10% in terms of nodes per
        second, but speed increases up to 30% have been measured. The support is
        automatic. Stockfish attempts to use large pages when available and
        will fall back to regular memory allocation when this is not the case.
        
        ### Support on Linux
        
        Large page support on Linux is obtained by the Linux kernel
        transparent huge pages functionality. Typically, transparent huge pages
        are already enabled, and no configuration is needed.
        
        ### Support on Windows
        
        The use of large pages requires "Lock Pages in Memory" privilege. See
        [Enable the Lock Pages in Memory Option (Windows)](https://docs.microsoft.com/en-us/sql/database-engine/configure-windows/enable-the-lock-pages-in-memory-option-windows)
        on how to enable this privilege, then run [RAMMap](https://docs.microsoft.com/en-us/sysinternals/downloads/rammap)
        to double-check that large pages are used. We suggest that you reboot
        your computer after you have enabled large pages, because long Windows
        sessions suffer from memory fragmentation, which may prevent Stockfish
        from getting large pages: a fresh session is better in this regard.
        
        ## Compiling Stockfish yourself from the sources
        
        Stockfish has support for 32 or 64-bit CPUs, certain hardware
        instructions, big-endian machines such as Power PC, and other platforms.
        
        On Unix-like systems, it should be easy to compile Stockfish
        directly from the source code with the included Makefile in the folder
        `src`. In general it is recommended to run `make help` to see a list of make
        targets with corresponding descriptions.
        
        ```
            cd src
            make help
            make net
            make build ARCH=x86-64-modern
        ```
        
        When not using the Makefile to compile (for instance, with Microsoft MSVC) you
        need to manually set/unset some switches in the compiler command line; see
        file *types.h* for a quick reference.
        
        When reporting an issue or a bug, please tell us which version and
        compiler you used to create your executable. These informations can
        be found by typing the following commands in a console:
        
        ```
            ./stockfish compiler
        ```
        
        ## Understanding the code base and participating in the project
        
        Stockfish's improvement over the last couple of years has been a great
        community effort. There are a few ways to help contribute to its growth.
        
        ### Donating hardware
        
        Improving Stockfish requires a massive amount of testing. You can donate
        your hardware resources by installing the [Fishtest Worker](https://github.com/glinscott/fishtest/wiki/Running-the-worker:-overview)
        and view the current tests on [Fishtest](https://tests.stockfishchess.org/tests).
        
        ### Improving the code
        
        If you want to help improve the code, there are several valuable resources:
        
        * [In this wiki,](https://www.chessprogramming.org) many techniques used in
        Stockfish are explained with a lot of background information.
        
        * [The section on Stockfish](https://www.chessprogramming.org/Stockfish)
        describes many features and techniques used by Stockfish. However, it is
        generic rather than being focused on Stockfish's precise implementation.
        Nevertheless, a helpful resource.
        
        * The latest source can always be found on [GitHub](https://github.com/official-stockfish/Stockfish).
        Discussions about Stockfish take place these days mainly in the [FishCooking](https://groups.google.com/forum/#!forum/fishcooking)
        group and on the [Stockfish Discord channel](https://discord.gg/nv8gDtt).
        The engine testing is done on [Fishtest](https://tests.stockfishchess.org/tests).
        If you want to help improve Stockfish, please read this [guideline](https://github.com/glinscott/fishtest/wiki/Creating-my-first-test)
        first, where the basics of Stockfish development are explained.
        
        
        ## Terms of use
        
        Stockfish is free, and distributed under the **GNU General Public License version 3**
        (GPL v3). Essentially, this means you are free to do almost exactly
        what you want with the program, including distributing it among your
        friends, making it available for download from your website, selling
        it (either by itself or as part of some bigger software package), or
        using it as the starting point for a software project of your own.
        
        The only real limitation is that whenever you distribute Stockfish in
        some way, you MUST always include the full source code, or a pointer
        to where the source code can be found, to generate the exact binary
        you are distributing. If you make any changes to the source code,
        these changes must also be made available under the GPL.
        
        For full details, read the copy of the GPL v3 found in the file named
        *Copying.txt*.
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*
Description-Content-Type: text/markdown
