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Version 10.01: three bugs fixed

Tourney elo, the personalities don´t appear. (detected by nalbouki and PeonPasado) Transsiberian Railway, some problems in the end game training (detected by Will H.) The update system is not working, there is not option to pass from 10.00 to 10.01 via Information/Search for updates.

Version 10: summary of changes

Long term trainings: Trans Siberian Railway : is a long run training with a train travel as an excuse. Expeditions to the Everest : the idea is to play against a collection of games, "Play like a GM" style. All moves are valued and compared with the move of player in the game. Turn on the lights : it is other way to study tactics, with a velocity component. Divided in levels, all levels works with the same block of positions. The Washing Machine : done against all engines with an elo less than 3000, creating a game-puzzles-repeating the game will be repeated until no errors. Start positions:   Scanner of a position : read of start positions images. Training positions : Tactics by UNED chess school, included in Training positions and Learn tactics by repetition. Thanks to Juan Carlos Antón, head of UNED chess school that allows to include the positions in the program. Engines: Updated: Stockfish updated to version 7 Cheng updated to version 4.39 K...

Version 10: beta 4a, graphics in the analysis improved

News: Resistance training: in configuration added "Lost points in a move" as another limit (idea by Michele Tumbarello). Engines: Updated Deepfish 7 (Marco Zerbinati). New RodentII (Pawel Koziol). Simplified engines internal rutines, thanks to the feedback of Max Aloyau. Kibitzers, indexes: Rodent II is always used, as stablished by author of formulas, Michele Tumbarello. Analysis: improved the graphics, now interactives. (Remes proposal I think, maybe others too)

Version 10: beta 3b, Kidsdraw and the Washing Machine

Kidsdraw , a beautiful new set of pieces to children created by Marc Graziani The Washing Machine: New long term training. The user must win a game against an engine (and to all engines with an elo lower to 3000) with the help of a tutor. For every user's needs of help of the tutor, must solve a puzzle at end of game (something like to get the detergent capsules needed to the wash). When solved all puzzles, must repeat the game and do same or better moves than in the game created (washing), in other case must solve a puzzle for each error, at end of game. This process game-puzzles-game will be repeated until no errors. An index is calculated at end.