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:rocket: lautpy — 常用工具类 :facepunch:

轻量的 Python 工具集:管道式数据处理 + 日期/路径/哈希等常用工具函数。核心零强制依赖,第三方库(numpy/pandas/scikit-learn 等)按需可选。

Install

pip install -U lautpy

Pipe 管道工具

from lautpy.pipe import *

# Unix 风格管道:data | func1 | func2
[1, 2, 3, 4] | xmap_(lambda x: x * 2) | xfilter_(lambda x: x > 3)   # [4, 6, 8]

# 进度条 + 日志 + 计时
for i in range(5) | xtqdm:
    logger.info("这是一个进度条")

with timer('LOG'):
    logger.info("打印一条log所花费的时间")

常用管道(约定:尾部下划线 = 立即求值返回 list):

类别 管道
类型转换 xtuple xlist xset xarray
高阶函数 xmap xmap_ xfilter xfilter_ xenumerate xchain xchain_ xreduce xdrop xdrop_
字典 xchain_dict xDictValues xDictRemove xgetitem xitemgetter
分组/去重 xgroup xUnique xsort xCounter xCounterUpdate
并发 xJobs xThreadPoolExecutor xProcessPoolExecutor xAsyncio
字符串 xjoin xstartswith xendswith xsse_parser

其他模块

from lautpy import dates, hashing, paths

# 日期(纯标准库)
dates.date_difference(days=1)                    # 昨天
dates.timestamp2str(time.time())                 # 时间戳 -> 字符串
dates.get_nday_list(7)                           # 过去 7 天

# 哈希 / AB 实验(murmurhash 需 scikit-learn)
hashing.md5("key:value")
hashing.murmurhash(bins=100)                     # 与 Java Guava 口径一致
hashing.ABTest(expid='10001', ranger=(0, 99)).is_hit("userid")

# 路径 / 配置(yaml 支持需 pyyaml)
paths.file2json("config.yaml")                   # json/yaml -> dict
paths.path2list("dir", "*.txt")                  # 文件/目录展开

设计约定

  • import lautpy 零第三方强制依赖,无导入副作用
  • 第三方依赖的管道函数在库缺失时自动不可用,不影响其余功能
  • from lautpy.pipe import * 仅导出公共 API(__all__),不泄漏实现细节

License

Apache-2.0。部分代码移植自 MeUtils(MIT License, Copyright (c) yuanjie),详见各模块 docstring。

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