Test engine on different test sets.
Project description
Tagasuri
An application that will test a computer chess program on epd test suites.
It detects avoid move am
and supports parallel test for processors with more than 1 core.
All test results are saved in master.csv file for later processing. Output summary can be saved either in csv, txt and html file formats.
Installation
pip install -U tagasuri
Dependencies
Tagasuri is dependent on the following packages:
- python chess
- pandas
- pretty-html-table
They are installed automatically when tagasuri is installed.
Command line
Test the engine with a chess puzzle in epd file.
tagasuri epd-test --input-file "7men_human.epd" --engine-file "c:/engines/sf15.exe" --engine-options "{'Hash': 128, 'Threads': 1}" --workers 1 --move-time 1 --output-file 7men.txt
Unsolved puzzles are saved in unsolved_7men_human_1.0s_Stockfish 15.txt.
Sample output
Name Total Correct Pct Time EPDFile
Stockfish 15 1110 1103 99.37 1.0 7men_human.epd
Lc0 v0.29.0-dev+git.025105e 1110 1096 98.74 1.0 7men_human.epd
Komodo 12.1.1 64-bit 1110 1064 95.86 1.0 7men_human.epd
Texel 1.07 1110 1045 94.14 1.0 7men_human.epd
Cheng 4.40 1110 1042 93.87 1.0 7men_human.epd
CT800 V1.43 64 bit 1110 1023 92.16 1.0 7men_human.epd
CDrill 1800 1110 899 80.99 1.0 7men_human.epd
If your processor has a quad or 4 cores, you can increase the workers to 3 with --workers 3
for example to finish the test early. If you use Lc0 with GPU and your system has only 1 GPU just use --workers 1
.
Output
All test results are saved in master.csv file. If Hit value is 1 that means the puzzle is solved.
c:\tmp_tagasuri> python
>>> import pandas as pd
>>> df = pd.read_csv('master.csv', names=['EPD', 'ID', 'Bm', 'Am', 'EngMv', 'Hit', 'Time', 'Name', 'EPDFile'])
>>> df
EPD ID Bm Am EngMv Hit Time Name EPDFile
0 8/8/2k3K1/8/7P/R5P1/p4r2/8 b - - 7menhuman_1 Rg2 NaN Rg2 1 1.0 Stockfish 15 7men_human.epd
1 8/8/6k1/3p4/3P4/4K1p1/7p/2R5 b - - 7menhuman_2 g2 NaN g2 1 1.0 Stockfish 15 7men_human.epd
2 8/8/p4pk1/8/4P3/5P2/1K6/n7 w - - 7menhuman_3 f4 NaN f4 1 1.0 Stockfish 15 7men_human.epd
3 8/7k/5Kp1/7p/2r4P/8/8/R7 w - - 7menhuman_4 Rh1 NaN Rh1 1 1.0 Stockfish 15 7men_human.epd
4 8/3n4/5kp1/3P3p/8/3K4/8/3B4 b - - 7menhuman_5 Ke5 NaN Ke5 1 1.0 Stockfish 15 7men_human.epd
... ... ... ... .. ... ... ... ... ...
1105 8/5p2/2K1n1p1/2P5/P7/4k3/8/8 w - - 7menhuman_1106 a5 NaN a5 1 1.0 Stockfish 15 7men_human.epd
1106 8/8/rP2k3/4pp2/2R5/2K5/8/8 w - - 7menhuman_1107 b7 NaN b7 1 1.0 Stockfish 15 7men_human.epd
1107 8/8/2k5/1p6/5p1P/KPP5/8/8 w - - 7menhuman_1108 h5 NaN h5 1 1.0 Stockfish 15 7men_human.epd
1108 5k2/R7/8/1K1N4/6r1/1P3p2/8/8 b - - 7menhuman_1109 f2 NaN f2 1 1.0 Stockfish 15 7men_human.epd
1109 8/8/8/4Rpk1/3r4/5Pp1/8/5K2 w - - 7menhuman_1110 Kg2 NaN Kg2 1 1.0 Stockfish 15 7men_human.epd
Link
Help
Access help from command line.
tagasuri -h
tagasuri epd-test -h
Credits
Change Log
Version 0.5.0 [2022-07-05]
Bug fix
- Fix logging
New Feature
- Add --engine-name option
Example:
tagasuri epd-test --engine-name "Lc0 0.29 rc0" --engine-file "c:/chess/engines/lc0/lc0_0.29/lc0.exe" ...
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file tagasuri-0.5.0.tar.gz
.
File metadata
- Download URL: tagasuri-0.5.0.tar.gz
- Upload date:
- Size: 21.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7794225d16053bbfb7834850bd09accac8188320c8589086f7268c69fbb50cad |
|
MD5 | 30827be2ae5c8bdb949da96235fd5e99 |
|
BLAKE2b-256 | 2e38bde9f8eb0a4a710dd589800953cfc20628b8a1a60b9182da7ef9a39035cf |
File details
Details for the file tagasuri-0.5.0-py3-none-any.whl
.
File metadata
- Download URL: tagasuri-0.5.0-py3-none-any.whl
- Upload date:
- Size: 20.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 98ba2c53a98bad03105d8918ab4c6ab25cc1e2352719e39d99a501ace8567ae4 |
|
MD5 | bb6c75504d85c71f604fd03d48aa80f1 |
|
BLAKE2b-256 | e19d7453e6861b84d20977ba064732155ebf34e926d87dcdb7d11c1928184843 |