This release is a pre-release and may not be stable for production use.
rsTimes
rsTimes 0.2.0b2 is a Python date and time library with a shared Rust core.
It provides calendar deltas, configurable parsing, a real datetime.datetime
subclass and a real pandas.DatetimeIndex subclass.
Delta: relative calendar changes, absolute fields, scalar and bulk arithmetic.parse_str,parse,parse_to_epoch: shared parsing rules returning a date object or an epoch integer in a chosen unit.Configs: parsing vocabularies, ordering, fixed offsets and explicitly configured regional time zones.Pydt: calendar, boundary, time zone and formatting methods on a standard datetime subclass.Pddt: nanoseconds, explicit units, column operations and pandas index interoperability.
The distribution name is rsTimes; import rstimes. PLDT has not been implemented.
The optional Polars integration reads supported Series inputs.
Installation and dependencies
This is a beta release. Select the version explicitly:
python -m pip install "rsTimes==0.2.0b2"
python -m pip install "rsTimes[dateutil,pandas,polars]==0.2.0b2"
| Dependency | Required version | Purpose |
|---|---|---|
| NumPy | >=2.5.3 | Required native scalar/array support |
| tzdata | >=2026.5, Windows only | Required IANA data for standard ZoneInfo |
| python-dateutil | >=2.9, optional dateutil extra |
Import parserinfo and relativedelta rules; actual relativedelta interoperability |
| pandas | >=2.3.3 on CPython 3.12–3.14 except Windows ARM64; >=3.0.6 on CPython 3.15 or Windows ARM64 | Optional pandas extra, required for Pddt |
| Polars | >=2.0.0 | Optional polars extra, supported Series inputs |
Core Delta, Configs, parsing and Pydt work without dateutil, pandas or Polars.
Without python-dateutil, Configs.from_parserinfo() and
Delta.from_relativedelta() raise ImportError with an installation hint;
ordinary parsing does not fall back to dateutil. Install integrations before
starting Python. Adding a dependency to an already running interpreter requires
a restart. Broken installed dependencies propagate their actual import errors.
Installing pandas also installs its own dependencies, which can include dateutil.
The runtime does not require Babel, cytimes or Cython.
Usage
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 accepts collections. Choose a unit during construction and use
as_unit() explicitly to convert an existing object:
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]
# Bare Pddt numbers are ticks in the chosen unit; parser numbers are seconds.
assert Pddt([1], unit="ms").asi8.tolist() == [1]
assert parse_to_epoch(1, unit="ms") == 1000
The default ordering is yearfirst=True, dayfirst=False, overridable by Configs
and explicit options. strict=False; isoformat=True tries ISO first and may
fall back to general parsing. The default ignoretz=True discards textual time
zones; pass False to retain them. Parser interprets fields; the chosen result
class controls capacity and the existence of regional local times.
Pydt retains microsecond precision and years1–9999. Pddt supports s/ms/us/ns
and zero, negative and wide years within the selected unit's capacity. Operations
on an existing Pddt preserve its unit: insufficient precision or capacity raises
an error and requires explicit as_unit(). It never silently changes unit or
turns an ordinary failure into NaT. None preserves optional fields; zero is a
real numeric value.
to_unix_ms and from_unix_ms convert aware dates and Unix milliseconds.
The former floors submillisecond values; the latter returns a UTC-aware datetime.
Type errors are TypeError, naive inputs are ValueError, and capacity failures
are OverflowError.
Native support and verification
One source tree supports ordinary GIL-enabled CPython 3.12,3.13,3.14 and3.15:
| Platform | CPU | Wheel baseline | Native verification runner |
|---|---|---|---|
| macOS | ARM64 | macOS11.0+ | macos-14 |
| macOS | x86_64 | macOS11.0+ | macos-15-intel |
| Windows | x86_64 | win_amd64 | windows-2025 |
| Windows | ARM64 | win_arm64 | windows-11-arm |
| Linux glibc | x86_64 | manylinux_2_28 | ubuntu-24.04, matching pinned container |
| Linux glibc | ARM64 | manylinux_2_28 | ubuntu-24.04-arm, matching pinned container |
| Linux musl | x86_64 | musllinux_1_2 | ubuntu-24.04, matching pinned container |
| Linux musl | ARM64 | musllinux_1_2 | ubuntu-24.04-arm, matching pinned container |
The release contains32 wheels and one complete sdist. Linux installation tests run inside the matching libc, not only on the host. 32-bit, PyPy and free-threaded CPython are unsupported. Runner testing does not claim physical testing on every historical OS release permitted by a wheel tag.
Every position verifies real isolated core-only, core+Polars and pandas3 installations. Applicable pandas2 positions use the same wheel. Additional latest-version representatives are recorded separately. The fixed main versions are NumPy 2.5.3, pandas 3.0.6 and Polars 2.0.0; pandas2 compatibility uses2.3.3. The frozen cytimes3.1.0 oracle runs separately with pandas2.3.3 and NumPy2.5.3. It is a test-only dependency. The 4,588 independent frozen string expectations remain protected. Shared cloud runners do not establish strict performance ratios.
Development
The repository pins Rust in rust-toolchain.toml. Inside an activated environment:
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 0.2.0b2 --with-dateutil --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
Use separate output directories after source changes. Source-tree imports do not
replace installed-wheel verification. On PowerShell, install wheels with
Get-ChildItem dist\*.whl | ForEach-Object { python -m pip install --no-deps $_.FullName }.
Demonstrations
The four demo/*.py scripts are interactive demonstrations. Delta, Parser and
Pydt use the separate requirements-oracle.txt environment to compare cytimes;
Pddt uses requirements-test.txt to compare pandas3. Both install the published
wheel. demo/runtime.json selects environments and the GitHub Release manifest;
the launcher checks version, installed location and native SHA256. It never
silently loads another wheel or compiles a temporary replacement. See the
demo guide. Do not force cytimes into the pandas3 environment.
Automated publication
- Branch/PR/manual CI builds and tests, without publication permissions.
- Only a pushed annotated
v*tag triggerspublish.yml. The tag binds the exact source commit, successful complete CI run/attempt, manifest SHA256 and local performance completion receipt. - Publication downloads that original tested32-wheel/sdist bundle. It does not rebuild files. All gates must pass before GitHub Release, followed by PyPI Trusted Publishing/OIDC. No long-lived PyPI token is used.
- All32 positions download the published version from PyPI, check the original SHA256, install it in clean provider environments and exercise functionality.
- The publisher identity is
AresJef/rsTimes,publish.yml, environmentpypi.
After a partial publication, retain the tag and original files. Verify remote hashes before resuming missing uploads. Never move a published tag, overwrite assets, mix incomplete CI attempts or rebuild substitutes for an existing version.
Documentation and license
- Delta API, Delta guide
- Parser guide, object parsing
- Pydt guide, Pddt and epoch parsing
- Errors, release notes
Wheels include public stubs and py.typed, with annotations, docstrings and
examples. rsTimes uses the MIT license; distributions include the
required third-party notices.
Metadata
Release files for rsTimes 0.2.0b2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
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Built distributions (wheels)
Total release size: 48.4 MB
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