Skip to main content

A versatile datetime class supporting extremely large timescales and extremely precise measurements.

Project description

Dynamic-DateTime

Installation

py -m pip install dynamic-datetime - Windows
python3 -m pip install dynamic-datetime - Linux

Usage

  • Usage examples (date used for most examples is 2024/12/08)
from dynamic_dt import DynamicDT, TimeDelta, get_timezone

# Parsing
DynamicDT.parse("now")    # 2024-12-08 06:13:27.7125025 UTC
DynamicDT.parse("now in MDT")    # 2024-12-08 00:14:02.9757217 MDT
DynamicDT.parse("now in London")    # 2024-12-08 06:14:37.6658725 Europe/London
DynamicDT.parse("3 october 2016 in edt")    # 2016-10-03 00:00:00 EDT
DynamicDT.parse("1961/01/29")    # 1961-01-29 00:00:00 UTC
DynamicDT.parse("-123456789/05/11")    # 123456789-05-11 00:00:00 BCE UTC
DynamicDT.parse("next thursday acdt")    # 2024-12-12 00:00:00 ACDT
DynamicDT.parse("2 hours before last december 22nd, utc-12")    # 2023-12-21 22:00:00 UTC-12
DynamicDT.parse("one minute before two hours after sixty two years before three hundred and twelve thousand and seventy one nanoseconds before a million years after tomorrow")    # 1001962-12-09 01:58:59.999687929 UTC
DynamicDT.parse("300-06-09 bce 6pm aqtt")    # 0300-06-09 18:00:00 BCE AQTT

# Arithmetic
DynamicDT.parse("now+1h") - DynamicDT.parse("now")    # 59 minutes 59.9999153 seconds
DynamicDT.parse("now+1h", timestamp=1733639741) - DynamicDT.parse("now", timestamp=1733639741)    # 1 hour
DynamicDT.parse("now+1h utc-1.5") + DynamicDT.parse_delta("9876543210 years, -1 attoseconds")    # 9876545234-12-08 06:17:13.1265439 UTC-1:30

# Advanced
import datetime
import pytz

repr(DynamicDT.parse_delta("1 year"))    # TimeDelta(1, 0, 0, 0, 0, 0, 0, None)
DynamicDT.parse_delta("1 year").total_seconds()    # 31556925
DynamicDT.parse_delta("9876543210 years, -1 attoseconds").to_string(precision=20)    # 43 galactic years 123 megaanna 541 millennia 210 years -1 day 23 hours 59 minutes 59.999999999999999999 seconds
repr(DynamicDT.parse("4 years after"))    # DynamicDT(2028, 12, 8, 6, 48, 14, fraction=Fraction(4312121, 10000000), tzinfo=get_timezone('UTC'))
DynamicDT.parse("4 years after").as_iso()    # 2028-12-08T06:48:43.8579817Z
DynamicDT.parse("4 years after").as_full()    # Thursday 8 December 2028 at 06:49
DynamicDT.parse("4 years after").as_discord()    # <t:1859870945:F>
DynamicDT.parse("4 years after").as_rel_discord()    # <t:1859871001:R>
DynamicDT.parse("4 years after").timestamp()    # 1859871105.7713845
DynamicDT.parse("4 years after").timestamp_exact()    # Fraction(18598711279456937, 10000000)
DynamicDT.parse("4 years after").replace(year=300000, minute=3, tzinfo=get_timezone("utc+6"))    # 300000-12-08 06:03:53.9029728 UTC+6
DynamicDT.parse("4 years after").cast(tz=get_timezone("utc+6"))    # 2028-12-08 12:55:54.789339 UTC+6
repr(DynamicDT.now())    # DynamicDT(2024, 12, 8, 17, 56, 31, fraction=Fraction(6281317, 10000000))
repr(DynamicDT.now(tz=datetime.timezone.utc))    # DynamicDT(2024, 12, 8, 6, 56, 55, fraction=Fraction(1347719, 2000000), tzinfo=get_timezone('UTC'))
DynamicDT(1234, 5, 6, 7, tzinfo=pytz.timezone("US/Mountain"))    # DynamicDT(1234, 5, 6, 7, 0, 0, tzinfo=get_timezone('US/Mountain'))
DynamicDT.unix()    # Fraction(17336412228141707, 10000000)
repr(DynamicDT.fromtimestamp(-100000000000, tz=get_timezone("pacific")))   # DynamicDT(-1199, 2, 15, 6, 13, 20, tzinfo=get_timezone('US/Pacific'))
DynamicDT.parse("1 yoctosecond from now").timestamp_string(100)    # 1736318072.652227100000000000000001
DynamicDT.parse("1 quectosecond until now").timestamp_string(100)    # 1736318184.458186399999999999999999999999

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dynamic_datetime-0.1.7.tar.gz (20.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

dynamic_datetime-0.1.7-py3-none-any.whl (20.1 kB view details)

Uploaded Python 3

File details

Details for the file dynamic_datetime-0.1.7.tar.gz.

File metadata

  • Download URL: dynamic_datetime-0.1.7.tar.gz
  • Upload date:
  • Size: 20.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.13.1

File hashes

Hashes for dynamic_datetime-0.1.7.tar.gz
Algorithm Hash digest
SHA256 fa27ceeb02b90498100dbe65b27c99f472daeda0e5bfa7e9880e1e257fe9ed0b
MD5 84402356053358acbd349807fb30c271
BLAKE2b-256 2ab955e48515b0dfa38031d9d15101850b8e476c697e128c59acf611527ecfb0

See more details on using hashes here.

File details

Details for the file dynamic_datetime-0.1.7-py3-none-any.whl.

File metadata

File hashes

Hashes for dynamic_datetime-0.1.7-py3-none-any.whl
Algorithm Hash digest
SHA256 bbab7f5c6ea4aac445df0d66eced67972e1a4112e33047ee0a9b35ffa3d6819f
MD5 f4f728680083667b69e6e623343a68b3
BLAKE2b-256 c5ac6ec04a40a2eb6363adb3e6ec5a90e967bf5d555ad4cfaf0d0854d9bcdadf

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page