Skip to main content

Calculate player performances in chess games.

Project description

Description

This package provides methods to calculate player performances.

Calculate player performances from results of games imported from PGN format files.

Provide facilities to resolve player identities where inconsistencies exist in the PGN Tag Values for games involving the same player.

Provide facilties to resolve inconsistent identities, time controls or playing modes for example, derived from other PGN Tag Values.

Installation Instructions

This package is not available on PyPI, or any other package index, but can be installed by typing

python -m pip install –user –trusted-host solentware.co.uk –find-links http://solentware.co.uk/wheels.html chesscalc

at the command prompt.

See Python and pip documentation for alternatives and platform-specific points.

Then run ‘python -m pip check’ to identify other packages which need to be installed.

Run

The command to run this package is:

python -m chesscalc.calculate

You may need to give the path and version of Python depending on your system’s configuration:

<path to python>/python<version> -m chesscalc.calculate

For example

C:\Python33\python -m chesscalc.calculate

on Microsoft Windows or

python3.3 -m chesscalc.calculate

on Unix-like systems.

Or use the facilities of your desktop (Microsoft Windows, GNOME, KDE, …) to set up a convenient way of starting calculate.

Notes

ChessCalc makes no attempt to ease the problems arising from not using PGN Tags in the way envisaged in the PGN specification. For example:

Not using the WhiteType and BlackType tags to indicate human or algorithmic players.

Not using the TimeControl tag to indicate the time controls. This determines if the game is standard, rapid, or blitz (using English Chess Federation terms); or some other distinctions.

Not using the Mode tag to indicate Online or Over The Board play.

ChessCalc does use the WhiteTeam and BlackTeam tags which appear in PGN files published by TWIC. At time of writing I have not seen these PGN tags elsewhere.

The legacy sub-package contains some of the implementation prior to version 2.0.0 but this will be removed in the future.

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

chesscalc-2.0.4.tar.gz (113.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

chesscalc-2.0.4-py3-none-any.whl (166.8 kB view details)

Uploaded Python 3

File details

Details for the file chesscalc-2.0.4.tar.gz.

File metadata

  • Download URL: chesscalc-2.0.4.tar.gz
  • Upload date:
  • Size: 113.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.13

File hashes

Hashes for chesscalc-2.0.4.tar.gz
Algorithm Hash digest
SHA256 0813b260e3365399a9d216738af6be5f28492ac12e2b098ee354d43592ab34b2
MD5 3dc2657f2aec4e903702de9e6313b59a
BLAKE2b-256 d7dfeaec36868e97f3714c6248b258a1e4318e49125594eaf628d4563c63153f

See more details on using hashes here.

File details

Details for the file chesscalc-2.0.4-py3-none-any.whl.

File metadata

  • Download URL: chesscalc-2.0.4-py3-none-any.whl
  • Upload date:
  • Size: 166.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.13

File hashes

Hashes for chesscalc-2.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 16107ca83882b9b54c7064ff4d82b3d811aecb607030cd90e823a8392b9c452a
MD5 196d6e11c4087e9b99b4d36fd0476c64
BLAKE2b-256 3f9d4f52f4e59a8f9bfd3db07eb1b1ba3cdfa2ab123c89ae947afc94c86aa651

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page