rsshogi

rsshogi は、Python から将棋の局面、指し手、合法性、棋譜、学習データ形式を扱うための ライブラリです。

English: rsshogi provides Python tools for shogi board handling, move legality, game records, policy labels, and dataset formats.

Rust 製の rsshogi core を内部で利用していますが、一般的な Python モジュールと同じように 使えるよう構成しています。まずはこの標準ビルドを利用してください。AVX2 対応の x86_64 CPU で AVX2 最適化版を使いたい場合は rsshogi-avx2 を利用します。

Python API は cshogi から影響を受けています。

できること

  • SFEN / USI から局面を構築し、指し手を適用して更新する
  • 指し手の生成と検証を行い、局面を SFEN として出力する
  • KIF / KI2 / CSA / JKF / SFEN などの棋譜形式を読み書きする
  • policy label や学習データ向けに指し手や局面を変換する
  • データセット向けに、NumPy で扱いやすい packed position 形式を利用する

開発用インストール

python -m pip install maturin
maturin develop -m crates/rsshogi-py/pyproject.toml

AVX2 ビルド

rsshogi-avx2 は、AVX2 対応 x86_64 CPU 向けに最適化した同じ Python モジュールです。

python -m pip install rsshogi-avx2

注意

  • rsshogi と rsshogi-avx2 は同時にインストールせず、どちらか一方だけを利用してください。
  • 幅広い環境では rsshogi が安全な標準選択です。
  • 学習向けの policy label 変換は rsshogi.policy から利用できます。

Policy Label

from rsshogi.core import Move
from rsshogi.policy import compact_move_label, move_label
from rsshogi.types import Color

mv = Move.from_usi("7g7f")

label = move_label(mv, Color.BLACK)
compact = compact_move_label(mv, Color.BLACK)

print(label)    # 2187 クラス
print(compact)  # 1496 クラス or None

クイック例

from rsshogi.core import Board

board = Board()
board.apply_usi("7g7f")
print(board.to_sfen())

raw-state を Python から直接編集することもできます。

from rsshogi.core import Board
from rsshogi.types import Color, Piece, PieceType, Square

board = Board()
state = board.to_position_state()
state.set_piece(Square.from_usi("7g"), Piece(0))
state.set_piece(Square.from_usi("7f"), Piece.from_color_type(Color.BLACK, PieceType.PAWN))
state.ply = 42

board.set_position_state(state)
report = board.validate_all()
print(board.to_sfen())
print(report.is_valid())

USI の position 文字列を直接扱うこともできます。

from rsshogi.core import Board, normalize_usi_position, parse_usi_position

board = Board()
board.set_usi_position("position startpos moves 7g7f 3c3d")

board2 = parse_usi_position("startpos moves 7g7f")
print(board2.to_sfen())

print(normalize_usi_position("position startpos"))  # "startpos"

構造化 import

rsshogi は用途別の submodule から import できます。

# 型と定数
from rsshogi.types import Color, PieceType, Square
from rsshogi.core import Move, Move32

# 盤面
from rsshogi.core import Board, PositionState, ValidationIssue, ValidationReport

# 棋譜
from rsshogi.record import Record, RecordMetadata, GameResult

# 棋譜変換
record = Record.from_kif_str(kif_text)
kif_text = record.to_kif()

# 棋譜ファイル I/O
record = Record.from_kif_file("example.kif")
record.write_kif("example_out.kif")

# NumPy dtype
from rsshogi.numpy import (
    PackedSfen,
    PackedSfenValue,
    HuffmanCodedPos,
    HuffmanCodedPosAndEval,
)

# Policy label
from rsshogi.policy import move_label, compact_move_label

基本的には submodule から import してください。

from rsshogi.core import Board
from rsshogi.core import Move
from rsshogi.record import Record

ドキュメント

API リファレンスと、各棋譜形式の細かな互換挙動（コメントの扱い、終局行や消費時間の整形など）は mdBook ドキュメントにまとめています。

Project links

Data verified by PyPI on Aug 5, 2026
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Key dates

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  • Released:
Newer release available (1.2.4)

1 maintainer

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Avatar for nyoki-mtl from gravatar.com nyoki-mtl

Credits

Author: Hiroki Taniai

GitHub Statistics

Data verified by PyPI on Aug 5, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

MIT License

Requires

Python >=3.10

Classifiers

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1.2.4

33 files

1.2.3

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1.2.2

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1.2.1

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1.2.0

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1.1.1

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This release

1.1.0 This release

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1.0.1

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1.0.0

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