This release is a pre-release and may not be stable for production use.
rsTimes
rsTimes 0.2.0b1 是使用 Rust 内核的 Python 日期时间库，提供日历增量、可配置解析、标准 datetime 子类和 pandas 日期索引子类。
Delta：相对日历增量、绝对字段设置、日期运算和批量应用。parse_str/parse/parse_to_epoch：共享 Rust 解析内核，分别输出日期对象或指定单位的纪元整数。Configs：配置解析词表、顺序规则、固定偏移和地区时区。Pydt：真正继承datetime.datetime，提供日历、边界、时区和格式操作。Pddt：真正继承pandas.DatetimeIndex，支持纳秒、明确单位、整列运算和 pandas 索引协议。
PyPI 分发名为 rsTimes，Python 导入名为 rstimes。PLDT 尚未实现；Polars 可选依赖用于读取受支持的 Series 输入。
安装
这是 beta 发行，请明确选择版本：
python -m pip install "rsTimes==0.2.0b1"
# 需要 Pddt 时安装 pandas；需要 Polars Series 输入时增加 polars：
python -m pip install "rsTimes[pandas,polars]==0.2.0b1"
基础依赖为 NumPy、python-dateutil；Windows 另外安装 tzdata，以提供标准 ZoneInfo 的 IANA 时区数据。pandas 和 Polars 为可选依赖。运行库不依赖 Babel、cytimes 或 Cython。
使用
from datetime import datetime
from rstimes import Configs, Delta, Pydt, parse, parse_str, parse_to_epoch
assert datetime(2024, 1, 31) + Delta(months=1) == datetime(2024, 2, 29)
assert Pydt(2024, 1, 31).add(months=1) == datetime(2024, 2, 29)
assert parse(datetime(2024, 5, 7)) == datetime(2024, 5, 7)
assert parse_str("2024-01-02T12:34+08:00", ignoretz=False).isoformat() == "2024-01-02T12:34:00+08:00"
assert parse_to_epoch(1e-9, unit="ns") == 1
cfg = Configs()
cfg.add_month("custommonth", 2)
assert parse_str("29 custommonth 2024", cfg=cfg) == datetime(2024, 2, 29)
Pddt 使用集合输入，构造时通过 unit 选择单位，已有对象通过 as_unit() 显式转换：
from rstimes import Delta, Pddt, parse_to_epoch
x = Pddt(["2024-01-31T12:30:00.123456789", None], unit="ns", name="events")
y = x + Delta(months=1)
assert y[0].isoformat() == "2024-02-29T12:30:00.123456789"
assert y.isna().tolist() == [False, True]
# Pddt 的裸数字表示所选单位的刻度；parse_to_epoch 的数字输入表示秒。
assert Pddt([1], unit="ms").asi8.tolist() == [1]
assert parse_to_epoch(1, unit="ms") == 1000
默认解析顺序为 yearfirst=True, dayfirst=False，可由 Configs 或显式参数调整。strict=False；isoformat=True 表示优先尝试 ISO，仍可回退通用解析。默认 ignoretz=True，需要保留文本时区时明确传 False。Parser 负责解释字段，目标日期类决定可表示范围和地区时间存在性。
Pydt 保持微秒精度及年份1—9999；Pddt 支持 s/ms/us/ns 和相应容量内的零年、负年及宽年份。已有 Pddt 日期运算保持当前单位，精度或容量不足时明确报错，需用户调用 as_unit()；不会自动换单位或把失败变成 NaT。可选数字修改参数的 None 表示保留，零为真实数值。
原有 to_unix_ms / from_unix_ms 继续提供带时区日期与 Unix 毫秒的转换。前者将不足一毫秒部分向负无穷取整；后者返回 UTC-aware datetime。类型错误为 TypeError、naive 输入为 ValueError、容量超限为 OverflowError。
发行矩阵与测试
同一套源码构建普通带GIL的 CPython 3.12—3.15：
| 平台 | CPU | 构建/测试 runner | wheel |
|---|---|---|---|
| macOS | arm64 | macos-15 | 每个 Python 版本1个 |
| macOS | x86_64 | macos-15-intel | 每个 Python 版本1个 |
| Windows | x86_64 | windows-2025 | 每个 Python 版本1个 |
| Linux | x86_64 | ubuntu-24.04，固定 manylinux_2_28 构建容器 | 每个 Python 版本1个 |
总计16个wheel和1个sdist。macOS wheel 的部署目标为11.0；Linux wheel 为 manylinux_2_28。表中列的是实际验收 runner，不代表已在每个历史操作系统版本物理测试。此次不包含 PyPy、free-threaded CPython、musl 或 Windows/Linux ARM。
产品测试固定 pandas3.0.6、NumPy2.5.3、Polars2.0.0。冻结官方 cyTimes3.1.0 声明 pandas<3，放在独立 pandas2.3.3 环境运行原对照测试；它不进入用户运行依赖。完整保留的字符串样本另有4,588项独立冻结预期，可在所有四个Python版本检查。普通云runner不用于发布正式性能倍率。
本地开发
需要 Rust；仓库的 rust-toolchain.toml 固定本次验证工具链。以下命令在已激活的虚拟环境执行：
python -m pip install --upgrade pip==26.2.2
python -m pip install -r requirements-dev.txt
maturin build --release --locked --interpreter python --out dist
python -m pip install --no-deps dist/*.whl
python -I -B tools/wheel_smoke.py --expect-version 0.2.0b1 --with-pandas --with-polars
python -I -B tools/run_release_tests.py --junitxml evidence/tests.xml
python -I -B tools/check_public_docs.py
python -I -B tools/check_typing.py
Windows PowerShell 可用 Get-ChildItem dist\*.whl | ForEach-Object { python -m pip install --no-deps $_.FullName } 安装生成的wheel。源码目录导入不能替代真实wheel安装验证。切换源码后请使用独立输出目录，避免混入旧版发行文件。
对照 demo
四个 demo/*.py 用独立环境比较冻结官方版本，不是运行库依赖或正式性能验收。先创建 demo/runtime.json 指定的环境，在其中安装 requirements-oracle.txt 和已发布的 rsTimes==0.2.0b1，并从本次 GitHub Release 下载 release-manifest.json 到该文件指定的位置。启动器核对版本、加载位置和清单中的 native SHA256，不会静默使用旧包或临时编译。随后可从任意目录执行四个 demo；不要把官方 cyTimes 强装进 pandas3 环境。
自动发行
ci.yml在普通分支提交、PR和手动运行时构建并测试，均无发布权限。publish.yml只由v*tag push触发，检查 Python版本、Rust同义版本、源码提交和docs/releases/<tag>.md。- 全部构建和测试通过后，创建 GitHub Release，再以 PyPI Trusted Publishing/OIDC 上传同一批已测文件。发布job不重新编译。
- 发布完成后，16个组合从PyPI下载指定版本，比对原SHA256，在干净环境安装并验证核心功能。
- GitHub owner/repository为
AresJef/rsTimes，PyPI Publisher绑定publish.yml和pypienvironment，不使用长期PyPI token。
发行部分失败时保留tag及原产物。PyPI步骤失败可在核对既有文件后重跑失败job，使用原成功构建的bundle；GitHub文件仅补齐缺项，不覆盖已有资产。构建矩阵失败时修复原因后运行完整验证，避免把不同尝试的残缺矩阵混为一次通过。不要移动已发布tag或覆盖已发行文件。
文档与许可
公开类型声明和 py.typed 随wheel分发，编辑器可显示参数、返回类型、docstring和示例。本项目采用 MIT；第三方许可说明包含在源码包和wheel中。
1 maintainer
Metadata
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