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Setting analysis parameters

Since version 2.04, you can change the parameters used by the program to determine whether a move is good or bad and also the elo calculated for an analyzed game. The parameters are as follows: limit_score Default value: 2000 Minimum value: 1000 Maximum value: 4000 Data type: integer Determines the score in centipawns from which the position is considered to be totally won, that the probability of winning is 100%. curve_degree Default value: 50 Minimum value: 1 Maximum value: 100 Data type: decimal percentage Expresses the correlation between the score in centipawns and the probability of winning/losing. It associates -limit_score with 0 and +limit_score with 100. Curve formula created based in  python-chess/Engine/Score/wdl    difmate_inaccuracy Default value: 3 Minimum value: 1 Maximum value: 99 Data type: integer If the difference between the best move and the move made means going
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Version 2.03: bug-fix release and chess leagues improved.

 This is a bug fix update mainly based on the detection work of Eric, the main betatester of the program. Added Opening Lines, shows comments when training. Book Strategie, other wonderful set of pieces created by Ben Citak. Book Strategie B, for regular style board backgrounds by Ben Citak. Book Strategie theme created by Ben Citak to emulate the old style used in the French chess magazine La Strategie in 1938 (also L'Echiquier). Databases, numerical sorting: press Ctrl (Alt or Shift) while double clicking on the header. CTRL SHIFT C (ALT SHIFT C) to copy PGN to the clipboard On the position analysis screen, alternative moves can be analyzed by moving pieces directly on the board. Analysis of a game, option to include analysis of the variations. On any board, ALT-X to play the current position, it is a little different from the utilities menu, only the position is used, but it can be used with any board and with any position on the board. Shift Right mouse on pgn table to show th
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Version R2.02 and more....

New help documents The lack of direct support for the programme has always been one of the programme's Achilles heels, which has been mitigated thanks to the contributions made in several languages and included in the Documents section of the website. Bru888 has produced the most complete guide to the programme. It is a guide divided into 5 parts Play, Train, Compete, Tools, Options, which can be accessed from the documents section of the website. Translations I am aware that it requires a huge effort that is not very visible. I have tried to provide some additional tools, so that from the program itself you can see the changes as you translate (Options/General configuration/Activate translator help mode).  I would like this to be a help to translators, and to encourage more people in those languages that are not sufficiently translated. For native English speakers, please keep in mind that English is just another language to translate, and there may be some mistranslations, so he
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LINUX: tutorial for creating the installer on almost any distribution

The aim of this article is to show step-by-step how to generate the installer from any Linux distribution that supports Qt5 and python3.8. The steps are: Install python 3.8 Install makeself Download Lucas Chess sources Install the necessary python libraries Test if all is ok Create the template  Generate binaries Generate the installer This example is running on a new virtual machine with Ubuntu 20.04. Step 1: Install python 3.8 Using miniconda is a simple way to install python 3.8. 1.1. Download Link:  https://docs.conda.io/en/latest/miniconda.html#linux-installers 1.2. Installation Only for the user sh ./Miniconda3-latest-linux-x86_64.sh Destination folder=  ~/miniconda3 1.3. Default python3 To facilitate the process (in my case),  the python3 of miniconda is set as default python3 of my user:
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LINUX - First binary version

The first official binary version of Lucas Chess on Linux has just been released. It has only been made possible by the great work done by Laudecir Daniel , choosing and compiling the 67 engines, as well as laying the groundwork so that the binaries can be more widely used and others such as shortcut creation, installation scripts, ...... In addition,  Graham O'Neill  has provided Linux-specific drivers for several digital boards. This version has two limitations : 64-bit Linux OS only. Minimum GNU libc version: 2.26 (ldd --version shows it) Installation has been made as simple as possible: The installer is a .sh file, generated with the  makeself  tool, and can be downloaded from: SourceForge , GitHub The file must be run from a terminal with user permissions only: sh ./LucasChessR123_LINUX.sh Launches a GUI with very basic options: Install: Installs in LucasChessR folder inside the home user folder. Generates a shortcut in Applications > Games Launch the application at the end
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R 1.06 Maia

 This update contains a major improvement with the inclusion of Maia. Maia is a neural network chess engine, created with the purpose of making her movements as human as possible. The Maia creation team has prepared 9 versions, from 1100 to 1900 of elo, and thus they have been included in Lucas Chess. You have all the information about Maia at: https://maiachess.com/
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Version R

New version of the program. Continuist at user level with the previous one, but with great internal changes. This new version has been mainly tried: Update the code to a current version of the compiler, from python 2.7 to python 3.7 (based in a previous work of Alfonso Solbes). Update the graphic library, from version 4 to 5 of qt, via pyside2. Improve folder organization, with Linux support in mind. Negative consequences: It is incompatible with Windows XP. The data is not compatible with previous versions of Lucas Chess. The weight of the installer has doubled, currently around 120 Mb and the disk installation occupies 338 Mb.
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