CppJieba-Py-Dat

基于 byronhe/cppjieba（使用 Double-Array Trie 进行了内存优化）的 Python (PyBind11) 绑定。旨在提供与原版 CppJieba 相似的功能，但具有显著降低的内存占用和快速的加载速度（通过 mmap）。

请注意: 由于本项目主要基于 DAT 优化版本的 CppJieba，其主要优势在于大幅降低了相对于原版 CppJieba 的内存消耗(来源)，并利用 mmap 实现了快速加载和潜在的多进程内存共享。与纯 Python 的 jieba 库相比，虽然仍有内存和速度优势，但内存降低幅度可能不如对比原版 CppJieba 那样显著。

特别说明: 本项目的 Python 绑定代码很大程度上是在 AI 辅助下完成的。如果您在使用中发现任何错误或有改进建议，欢迎提交 Issue 和 PR！

~~本项目主要是作者自己写着用的，所以代码很垃，勿喷~~

主要特性

较低内存占用: 使用 Double-Array Trie (DAT) 替换原版 CppJieba 的内存 Trie，大幅降低词典加载内存（尤其对比原版 CppJieba）。
快速加载: 利用 mmap 加载预先构建的 DAT 缓存文件，实现近乎瞬时的初始化（非首次运行）。
高性能: 基于 C++ 实现，分词速度通常远快于纯 Python 实现。
兼容 CppJieba 主要功能: 支持精确模式、全模式、搜索引擎模式分词，以及词性标注和关键词提取。

与原版 `jieba` (Python) 和 `cppjieba-py` 的区别

内存: 通常比纯 Python jieba 和基于原版 CppJieba 的绑定占用更少内存。
速度: 分词速度通常快于纯 Python jieba，与基于原版 CppJieba 的绑定性能相当或取决于具体实现。
初始化:
- 首次运行/词典更新: 需要构建 DAT 缓存文件，可能耗时几秒钟。
- 后续运行: 加载速度极快。
动态词典: 不支持 运行时动态添加用户词 (add_word / InsertUserWord 功能被移除)。如需更新用户词典，需要修改用户词典文件并重新运行程序（会自动检测到变更并重建 DAT 缓存）。
依赖: 需要 C++ 编译环境（如果从源码安装），但提供了预编译的 Wheel 包方便安装。

安装

通过 pip 安装 (推荐):

pip install cppjieba-py-dat

从源码安装:

如果想从源码安装，或者没有提供适合你平台的预编译 Wheel 包，你需要：

一个支持 C++14 的 C++ 编译器 (例如 GCC, Clang, MSVC)。
安装 Python 开发头文件 (例如 python3-dev on Debian/Ubuntu, python3-devel on Fedora/CentOS, 或 Visual Studio Build Tools C++ workload on Windows)。
安装 pybind11: pip install pybind11>=2.6
安装 setuptools 和 wheel: pip install setuptools wheel build

克隆本仓库并构建：

git clone https://github.com/xiaosuyydds/cppjieba-py-dat.git
cd cppjieba-py-dat
python -m build
pip install dist/cppjieba_py_dat-*.whl

使用示例

import cppjieba_py_dat as jieba
import os

# --- 初始化 (自动处理 DAT 缓存) ---
# 默认使用包内词典
j = jieba.Jieba()
print("Jieba initialized.")

# # 使用自定义用户词典
# user_dict = 'path/to/my_user.dict'
# if os.path.exists(user_dict):
#     j_user = jieba.Jieba(user_dict_path=user_dict)
# else:
#     print(f"User dict not found: {user_dict}")

# --- 分词 ---
sentence = "我来到北京清华大学"
print("Default cut:", "/ ".join(j.cut(sentence)))
# Output: 我/ 来到/ 北京/ 清华大学

print("Full mode cut:", "/ ".join(j.cut(sentence, cut_all=True)))
# Output: 我/ 来到/ 北京/ 清华/ 清华大学/ 华大/ 大学

print("Search mode cut:", "/ ".join(j.cut_for_search(sentence)))
# Output: 我/ 来到/ 北京/ 清华/ 华大/ 大学/ 清华大学

# --- 词性标注 ---
sentence_pos = "他来到了网易杭研大厦"
tags = j.tag(sentence_pos)
print("POS Tagging:", tags)
# Output: [('他', 'r'), ('来到', 'v'), ('了', 'ul'), ('网易', 'nz'), ('杭研', 'x'), ('大厦', 'n')] (示例)

print("Tag for '清华大学':", j.lookup_tag('清华大学'))
# Output: nt (示例)

# --- 关键词提取 ---
long_sentence = "..." # (省略长文本)
keywords = j.extract_keywords(long_sentence, top_k=5)
print("Keywords:", keywords)
# Output: [('关键词1', 权重1), ('关键词2', 权重2), ...]

# 带词性过滤
keywords_filtered = j.extract_keywords(long_sentence, top_k=5, allow_pos=('ns', 'n', 'vn', 'v'))
print("Keywords (filtered):", keywords_filtered)

# --- 检查词语是否存在 ---
print("'清华大学' exists:", j.word_exists('清华大学')) # True
print("'不存在的词' exists:", j.word_exists('不存在的词')) # False

DAT 缓存

为了实现快速加载，本库会在首次运行时根据当前词典（主词典+用户词典）内容生成一个 .dat 缓存文件。
缓存文件默认存放在用户缓存目录下（例如 Linux 的 ~/.cache/cppjieba_py_dat/, Windows 的 C:\Users\<用户>\AppData\Local\cppjieba_py_dat\cppjieba_py_dat\Cache\）。可以通过 Jieba 构造函数的 dat_cache_dir 参数指定位置。
文件名包含词典内容的 MD5 值，当词典文件发生变化时，程序会自动检测并重新生成缓存。
生成缓存可能需要几秒钟时间。

注意事项

不支持动态添加词语: 由于 DAT 的特性，无法在运行时添加用户词。
修改用户词典: 修改用户词典文件后，需要重新运行程序才能生效（会自动重建缓存）。
依赖库许可证: 本项目使用了 CppJieba, limonp, darts-clone 等库，请遵守它们各自的开源许可证（详情见 LICENSE 文件）。

致谢

感谢 Yanyi Wu 创建了优秀的 CppJieba 项目。
感谢 byronhe 提供了基于 DAT 优化的 CppJieba 版本。
感谢 s-yata 开发了 darts-clone 库。
感谢 pybind11 提供了方便的 C++/Python 绑定工具。
感谢 AI 在本项目开发过程中提供的巨大帮助。

许可证

本项目使用 MIT License。

Metadata

Release files for cppjieba-py-dat 0.0.1

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Source distribution for cppjieba-py-dat 0.0.1
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Built distributions (wheels)

Table of built distributions (wheels) for cppjieba-py-dat 0.0.1
File	Interpreter	ABI	Platform	Reset
cppjieba_py_dat-0.0.1-cp313-cp313-win_amd64.whl 5.2 MB Apr 22, 2025	CPython 3.13	CPython 3.13	Windows x86-64	Details
cppjieba_py_dat-0.0.1-cp313-cp313-win32.whl 5.2 MB Apr 22, 2025	CPython 3.13	CPython 3.13	Windows x86-32	Details
cppjieba_py_dat-0.0.1-cp313-cp313-musllinux_1_2_x86_64.whl 7.9 MB Apr 22, 2025	CPython 3.13	CPython 3.13	Linux musl 1.2+ x86-64	Details
cppjieba_py_dat-0.0.1-cp313-cp313-musllinux_1_2_i686.whl 8.0 MB Apr 22, 2025	CPython 3.13	CPython 3.13	Linux musl 1.2+ x86-32	Details
cppjieba_py_dat-0.0.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 7.0 MB Apr 22, 2025	CPython 3.13	CPython 3.13	Linux glibc 2.17+ x86-64	Details
cppjieba_py_dat-0.0.1-cp313-cp313-manylinux_2_17_i686.manylinux2014_i686.whl 6.9 MB Apr 22, 2025	CPython 3.13	CPython 3.13	Linux glibc 2.17+ x86-32	Details
cppjieba_py_dat-0.0.1-cp313-cp313-macosx_11_0_arm64.whl 5.2 MB Apr 22, 2025	CPython 3.13	CPython 3.13	macOS 11.0+ ARM64	Details
cppjieba_py_dat-0.0.1-cp313-cp313-macosx_10_13_x86_64.whl 5.2 MB Apr 22, 2025	CPython 3.13	CPython 3.13	macOS 10.13+ x86-64	Details
cppjieba_py_dat-0.0.1-cp312-cp312-win_amd64.whl 5.2 MB Apr 22, 2025	CPython 3.12	CPython 3.12	Windows x86-64	Details
cppjieba_py_dat-0.0.1-cp312-cp312-win32.whl 5.2 MB Apr 22, 2025	CPython 3.12	CPython 3.12	Windows x86-32	Details
cppjieba_py_dat-0.0.1-cp312-cp312-musllinux_1_2_x86_64.whl 7.9 MB Apr 22, 2025	CPython 3.12	CPython 3.12	Linux musl 1.2+ x86-64	Details
cppjieba_py_dat-0.0.1-cp312-cp312-musllinux_1_2_i686.whl 8.0 MB Apr 22, 2025	CPython 3.12	CPython 3.12	Linux musl 1.2+ x86-32	Details
cppjieba_py_dat-0.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 7.0 MB Apr 22, 2025	CPython 3.12	CPython 3.12	Linux glibc 2.17+ x86-64	Details
cppjieba_py_dat-0.0.1-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl 6.9 MB Apr 22, 2025	CPython 3.12	CPython 3.12	Linux glibc 2.17+ x86-32	Details
cppjieba_py_dat-0.0.1-cp312-cp312-macosx_11_0_arm64.whl 5.2 MB Apr 22, 2025	CPython 3.12	CPython 3.12	macOS 11.0+ ARM64	Details
cppjieba_py_dat-0.0.1-cp312-cp312-macosx_10_13_x86_64.whl 5.2 MB Apr 22, 2025	CPython 3.12	CPython 3.12	macOS 10.13+ x86-64	Details
cppjieba_py_dat-0.0.1-cp311-cp311-win_amd64.whl 5.2 MB Apr 22, 2025	CPython 3.11	CPython 3.11	Windows x86-64	Details
cppjieba_py_dat-0.0.1-cp311-cp311-win32.whl 5.2 MB Apr 22, 2025	CPython 3.11	CPython 3.11	Windows x86-32	Details
cppjieba_py_dat-0.0.1-cp311-cp311-musllinux_1_2_x86_64.whl 7.9 MB Apr 22, 2025	CPython 3.11	CPython 3.11	Linux musl 1.2+ x86-64	Details
cppjieba_py_dat-0.0.1-cp311-cp311-musllinux_1_2_i686.whl 8.0 MB Apr 22, 2025	CPython 3.11	CPython 3.11	Linux musl 1.2+ x86-32	Details
cppjieba_py_dat-0.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 7.0 MB Apr 22, 2025	CPython 3.11	CPython 3.11	Linux glibc 2.17+ x86-64	Details
cppjieba_py_dat-0.0.1-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl 6.9 MB Apr 22, 2025	CPython 3.11	CPython 3.11	Linux glibc 2.17+ x86-32	Details
cppjieba_py_dat-0.0.1-cp311-cp311-macosx_11_0_arm64.whl 5.2 MB Apr 22, 2025	CPython 3.11	CPython 3.11	macOS 11.0+ ARM64	Details
cppjieba_py_dat-0.0.1-cp311-cp311-macosx_10_9_x86_64.whl 5.2 MB Apr 22, 2025	CPython 3.11	CPython 3.11	macOS 10.9+ x86-64	Details
cppjieba_py_dat-0.0.1-cp310-cp310-win_amd64.whl 5.2 MB Apr 22, 2025	CPython 3.10	CPython 3.10	Windows x86-64	Details
cppjieba_py_dat-0.0.1-cp310-cp310-win32.whl 5.2 MB Apr 22, 2025	CPython 3.10	CPython 3.10	Windows x86-32	Details
cppjieba_py_dat-0.0.1-cp310-cp310-musllinux_1_2_x86_64.whl 7.9 MB Apr 22, 2025	CPython 3.10	CPython 3.10	Linux musl 1.2+ x86-64	Details
cppjieba_py_dat-0.0.1-cp310-cp310-musllinux_1_2_i686.whl 8.0 MB Apr 22, 2025	CPython 3.10	CPython 3.10	Linux musl 1.2+ x86-32	Details
cppjieba_py_dat-0.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 6.9 MB Apr 22, 2025	CPython 3.10	CPython 3.10	Linux glibc 2.17+ x86-64	Details
cppjieba_py_dat-0.0.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl 6.9 MB Apr 22, 2025	CPython 3.10	CPython 3.10	Linux glibc 2.17+ x86-32	Details
cppjieba_py_dat-0.0.1-cp310-cp310-macosx_11_0_arm64.whl 5.2 MB Apr 22, 2025	CPython 3.10	CPython 3.10	macOS 11.0+ ARM64	Details
cppjieba_py_dat-0.0.1-cp310-cp310-macosx_10_9_x86_64.whl 5.2 MB Apr 22, 2025	CPython 3.10	CPython 3.10	macOS 10.9+ x86-64	Details
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cppjieba_py_dat-0.0.1-cp39-cp39-win32.whl 5.2 MB Apr 22, 2025	CPython 3.9	CPython 3.9	Windows x86-32	Details
cppjieba_py_dat-0.0.1-cp39-cp39-musllinux_1_2_x86_64.whl 7.9 MB Apr 22, 2025	CPython 3.9	CPython 3.9	Linux musl 1.2+ x86-64	Details
cppjieba_py_dat-0.0.1-cp39-cp39-musllinux_1_2_i686.whl 8.0 MB Apr 22, 2025	CPython 3.9	CPython 3.9	Linux musl 1.2+ x86-32	Details
cppjieba_py_dat-0.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 6.9 MB Apr 22, 2025	CPython 3.9	CPython 3.9	Linux glibc 2.17+ x86-64	Details
cppjieba_py_dat-0.0.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl 6.9 MB Apr 22, 2025	CPython 3.9	CPython 3.9	Linux glibc 2.17+ x86-32	Details
cppjieba_py_dat-0.0.1-cp39-cp39-macosx_11_0_arm64.whl 5.2 MB Apr 22, 2025	CPython 3.9	CPython 3.9	macOS 11.0+ ARM64	Details
cppjieba_py_dat-0.0.1-cp39-cp39-macosx_10_9_x86_64.whl 5.2 MB Apr 22, 2025	CPython 3.9	CPython 3.9	macOS 10.9+ x86-64	Details
cppjieba_py_dat-0.0.1-cp38-cp38-win_amd64.whl 5.2 MB Apr 22, 2025	CPython 3.8	CPython 3.8	Windows x86-64	Details
cppjieba_py_dat-0.0.1-cp38-cp38-win32.whl 5.2 MB Apr 22, 2025	CPython 3.8	CPython 3.8	Windows x86-32	Details
cppjieba_py_dat-0.0.1-cp38-cp38-musllinux_1_2_x86_64.whl 7.9 MB Apr 22, 2025	CPython 3.8	CPython 3.8	Linux musl 1.2+ x86-64	Details
cppjieba_py_dat-0.0.1-cp38-cp38-musllinux_1_2_i686.whl 8.0 MB Apr 22, 2025	CPython 3.8	CPython 3.8	Linux musl 1.2+ x86-32	Details
cppjieba_py_dat-0.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 6.9 MB Apr 22, 2025	CPython 3.8	CPython 3.8	Linux glibc 2.17+ x86-64	Details
cppjieba_py_dat-0.0.1-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl 6.9 MB Apr 22, 2025	CPython 3.8	CPython 3.8	Linux glibc 2.17+ x86-32	Details
cppjieba_py_dat-0.0.1-cp38-cp38-macosx_11_0_arm64.whl 5.2 MB Apr 22, 2025	CPython 3.8	CPython 3.8	macOS 11.0+ ARM64	Details
cppjieba_py_dat-0.0.1-cp38-cp38-macosx_10_9_x86_64.whl 5.2 MB Apr 22, 2025	CPython 3.8	CPython 3.8	macOS 10.9+ x86-64	Details

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Release files / cppjieba_py_dat-0.0.1-cp311-cp311-musllinux_1_2_x86_64.whl

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Release files / cppjieba_py_dat-0.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

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SHA-256 checksum How to use checksums	`e731fa2051d06aacaa9d973980833a7761ea8365e0d9f245012a1236cbd5d7f8`
BLAKE2b-256 checksum How to use checksums	`89f95c030f4ae41c62ab908d0866ba811012b8e667988e5f2ca432cf9ad8518e`
Upload date	Apr 22, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.12.9`

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Publishing platform: GitHub Actions
Publishing repository: github.com/xiaosuyyds/cppjieba-py-dat
Publishing commit: github.com/xiaosuyyds/cppjieba-py-dat/tree/0c081901056330bc643fea84721e071643a41a59

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Subject: cppjieba_py_dat-0.0.1-cp38-cp38-macosx_11_0_arm64.whl
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Release files / cppjieba_py_dat-0.0.1-cp38-cp38-macosx_10_9_x86_64.whl

Download URL	cppjieba_py_dat-0.0.1-cp38-cp38-macosx_10_9_x86_64.whl
Size	5.2 MB
Tags	CPython 3.8 macOS 10.9+ x86-64
SHA-256 checksum How to use checksums	`e781dba57bb30e160645dafb216068af6e0905e7ad400b8f88b5c759ce0288cb`
BLAKE2b-256 checksum How to use checksums	`483c8ec787e2cd9a205005e8877fcca5f93b24bfc7bd8e27cc89d385d6b9ed52`
Upload date	Apr 22, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.12.9`

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Publishing platform: GitHub Actions
Publishing repository: github.com/xiaosuyyds/cppjieba-py-dat
Publishing commit: github.com/xiaosuyyds/cppjieba-py-dat/tree/0c081901056330bc643fea84721e071643a41a59

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Publishing configuration: github.com/xiaosuyyds/cppjieba-py-dat/blob/0c081901056330bc643fea84721e071643a41a59/.github/workflows/python-publish.yml
Publishing logs: github.com/xiaosuyyds/cppjieba-py-dat/actions/runs/14593456756/attempts/1

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Subject: cppjieba_py_dat-0.0.1-cp38-cp38-macosx_10_9_x86_64.whl
SHA-256 checksum: e781dba57bb30e160645dafb216068af6e0905e7ad400b8f88b5c759ce0288cb Verifying attestations

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This release

0.0.1 This release

Apr 22, 2025 49 release files

cppjieba-py-dat 0.0.1

CppJieba-Py-Dat

主要特性

与原版 jieba (Python) 和 cppjieba-py 的区别

安装

使用示例

DAT 缓存

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致谢

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1 maintainer

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Metadata

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Release files for cppjieba-py-dat 0.0.1

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Release files / cppjieba_py_dat-0.0.1.tar.gz

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Release files / cppjieba_py_dat-0.0.1-cp313-cp313-macosx_11_0_arm64.whl

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Release files / cppjieba_py_dat-0.0.1-cp313-cp313-macosx_10_13_x86_64.whl

Provenance

与原版 `jieba` (Python) 和 `cppjieba-py` 的区别