A basic tool to check how well chess moves correlate to engine suggestions.
pip install chess
original code:
STOCKFISH_PATH = "./engines/stockfish_15_linux_x64/stockfish_15_x64"
KOMODO_PATH = "./engines/komodo-13_201fd6/Linux/komodo-13.02-linux"
ENGINE_PATHS = [STOCKFISH_PATH, KOMODO_PATH]
for example to add an engine to the former code you should add it like so:
STOCKFISH_PATH = "./engines/stockfish_15_linux_x64/stockfish_15_x64"
KOMODO_PATH = "./engines/komodo-13_201fd6/Linux/komodo-13.02-linux"
# add the new path on this variable
TOGAII_PATH = "./engines/TogaII/togaii-4.0.1-x86-64-core2"
# and add it at the end of this list
ENGINE_PATHS = [STOCKFISH_PATH, KOMODO_PATH, TOGAII_PATH]
you should do this for every engine that you want to add.
python chessc.py --help
usage: chessc.py [-h] (-t ANALYSIS_TIME | -d DEPTH) [-b] [-pv PRINCIPAL_VARIATIONS] -pgn PGN_FILES [-v] [-V]
Analyse PGN files with chess engines to show correlation between human player and engines.
options:
-h, --help show this help message and exit
-t ANALYSIS_TIME, --analysis-time ANALYSIS_TIME
Analysis time (in seconds) per move [mutually exclusive with --depth]
-d DEPTH, --depth DEPTH
Depth of analysis per move in ply [mutually exclusive with --analysis-time]
-b, --backwards Sets the direction of the analysis to backwards, from last move back to first [forward by default]
-pv PRINCIPAL_VARIATIONS, --principal-variations PRINCIPAL_VARIATIONS
Number of principal variations (PV) per engine [this can make the correlation very high if greater than 1]
-pgn PGN_FILES, --pgn-files PGN_FILES
Folder with *.pgn files or a single pgn file to analyse
-v, --verbose Show verbose info about the
5AF8
analysis when multipv(--principal-variations) mode is selected
-V, --version show program's version number and exit
Analyse all the PGN files inside the pgn/ folder and stop analysing each position after the depth of 20 ply has been reached:
python chessc.py --depth=20 --pgn-files=pgn/
python chessc.py --depth 20 -pgn pgn/
python chessc.py -d 20 -pgn pgn/
python chessc.py --analysis-time 10 --pgn-files pgn/niemann_cornette_2020.pgn
or using short arguments:
python chessc.py -t 10 -pgn pgn/niemann_cornette_2020.pgn
please note that the analysis in seconds can give different results each time, for more stable
results use the depth argument.